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MLwiN
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software package for fitting multilevel models. It uses both maximum likelihood estimation and Markov chain Monte Carlo (MCMC) methods. MLwiN is basedBernstein–von Mises theorem (757 words) [view diff] no match in snippet view article find links to article
In Bayesian inference, the Bernstein–von Mises theorem provides the basis for using Bayesian credible sets for confidence statements in parametric modelsFisher consistency (765 words) [view diff] no match in snippet view article find links to article
In statistics, Fisher consistency, named after Ronald Fisher, is a desirable property of an estimator asserting that if the estimator were calculated usingNormal-inverse-gamma distribution (2,039 words) [view diff] no match in snippet view article find links to article
In probability theory and statistics, the normal-inverse-gamma distribution (or Gaussian-inverse-gamma distribution) is a four-parameter family of multivariateBeta-binomial distribution (2,207 words) [view diff] no match in snippet view article find links to article
In probability theory and statistics, the beta-binomial distribution is a family of discrete probability distributions on a finite support of non-negativeData augmentation (1,729 words) [view diff] exact match in snippet view article find links to article
Data augmentation is a statistical technique which allows maximum likelihood estimation from incomplete data. Data augmentation has important applicationsLarge number of rare events (102 words) [view diff] exact match in snippet view article find links to article
improvements in frequency distribution estimation over the maximum likelihood estimation when "rare events are common". It can be applied to problemsMaximum a posteriori estimation (1,639 words) [view diff] exact match in snippet view article find links to article
MAP estimation can therefore be seen as a regularization of maximum likelihood estimation. Assume that we want to estimate an unobserved population parameterDeming regression (1,527 words) [view diff] exact match in snippet view article find links to article
complicated error structure. Deming regression is equivalent to the maximum likelihood estimation of an errors-in-variables model in which the errors for theMark van der Laan (423 words) [view diff] exact match in snippet view article find links to article
testing, and causal inference. He also developed the targeted maximum likelihood estimation methodology. He is a founding editor of the Journal of CausalKatz's back-off model (817 words) [view diff] exact match in snippet view article find links to article
training individual models for different n-gram orders using maximum likelihood estimation and then interpolating them together. The equation for Katz'sIndependent component analysis (6,665 words) [view diff] exact match in snippet view article find links to article
method to find the optimal solution of the unmixing matrix. Maximum likelihood estimation (MLE) is a standard statistical tool for finding parameter valuesFixed-effect Poisson model (465 words) [view diff] no match in snippet view article find links to article
model is transformed in a useful way and can be estimated by maximum-likelihood estimation techniques for multinomial log likelihoods. This is computationallyHarmonic distribution (1,587 words) [view diff] no match in snippet view article find links to article
In probability theory and statistics, the harmonic distribution is a continuous probability distribution. It was discovered by Étienne Halphen, who hadDiscrete Weibull distribution (1,340 words) [view diff] exact match in snippet view article find links to article
delves into sophisticated statistical techniques, including maximum likelihood estimation and Bayesian inference, for analyzing bivariate discrete dataGamma distribution (8,705 words) [view diff] case mismatch in snippet view article find links to article
journal requires |journal= (help) Choi, S. C.; Wette, R. (1969). "Maximum Likelihood Estimation of the Parameters of the Gamma Distribution and Their Bias"Vector generalized linear model (4,737 words) [view diff] exact match in snippet view article find links to article
adopted is the iteratively reweighted least squares method, for maximum likelihood estimation of usually all the model parameters. In particular, Fisher scoringHalbert White (667 words) [view diff] exact match in snippet view article find links to article
paper by White contributed strongly to the development of quasi-maximum likelihood estimation. He also contributed to numerous other areas such as neuralMurray Aitkin (373 words) [view diff] exact match in snippet view article find links to article
co-authored with Darrel Bock and published a paper titled: "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm" to PsychometrikaKatarina Juselius (350 words) [view diff] exact match in snippet view article find links to article
of Journal of Economic Methodology. Her most quoted paper, "Maximum likelihood estimation and inference on cointegration—with applications to the demandEstimation of covariance matrices (3,923 words) [view diff] no match in snippet view article find links to article
In statistics, sometimes the covariance matrix of a multivariate random variable is not known but has to be estimated. Estimation of covariance matricesNegative binomial distribution (8,492 words) [view diff] case mismatch in snippet view article find links to article
Press. ISBN 978-0-521-19815-8. Lloyd-Smith, J. O. (2007). "Maximum Likelihood Estimation of the Negative Binomial Dispersion Parameter for Highly OverdispersedTruncation (statistics) (1,036 words) [view diff] no match in snippet view article
complicated analysis. However, software is readily available for maximum-likelihood estimation of even moderately complicated models, such as regression modelsBenini distribution (600 words) [view diff] no match in snippet view article find links to article
implemented in the VGAM package for R, which also provides maximum-likelihood estimation of the shape parameter. Conditional probability distributionShape parameter (377 words) [view diff] exact match in snippet view article find links to article
moments, but linear estimators also exist, such as the L-moments. Maximum likelihood estimation can also be used. The following continuous probability distributionsAnton Formann (2,637 words) [view diff] no match in snippet view article find links to article
dichotomous data: Unconditional, conditional, and semiparametric maximum-likelihood-estimation. Journal of the American Statistical Association, 89, 1027-1034Sieve estimator (337 words) [view diff] case mismatch in snippet view article find links to article
PMID 18238264. Stuart Geman, Chii-Ruey Hwang. "Nonparametric Maximum Likelihood Estimation by the Method of Sieves" (PDF). The Annals of Statistics, VolDavid S. Stoffer (770 words) [view diff] case mismatch in snippet view article find links to article
State-Space Modeling and Bootstrapping State-Space Models: Gaussian Maximum Likelihood Estimation and the Kalman Filter both published in the Journal of the AmericanMarkov–Krein theorem (231 words) [view diff] case mismatch in snippet view article find links to article
38 (6): 851. doi:10.1287/mnsc.38.6.851. Simar, L. (1976). "Maximum Likelihood Estimation of a Compound Poisson Process". The Annals of Statistics. 4Normal-inverse Gaussian distribution (872 words) [view diff] no match in snippet view article find links to article
sampling. It can also be used to derive an EM algorithm for maximum-likelihood estimation of the NIG parameters. Ole E Barndorff-Nielsen, Thomas MikoschLight field microscopy (5,024 words) [view diff] no match in snippet view article find links to article
Light field microscopy (LFM) is a scanning-free 3-dimensional (3D) microscopic imaging method based on the theory of light field. This technique allowsStan (software) (759 words) [view diff] exact match in snippet view article
Bayesian inference, and gradient-based optimization for penalized maximum likelihood estimation. MCMC algorithms: Hamiltonian Monte Carlo (HMC) No-U-Turn samplerOptimal estimation (848 words) [view diff] exact match in snippet view article find links to article
to the maximum likely value, and so this is also a form of maximum likelihood estimation. Typically with optimal estimation, in addition to the vectorIndirect inference (324 words) [view diff] exact match in snippet view article find links to article
{\displaystyle \theta } could have generated the observations. Since a maximum likelihood estimation cannot be performed, indirect inference proposes to fit a (possiblyExponential family random graph models (3,553 words) [view diff] case mismatch in snippet view article find links to article
; Stivala, A.; Mira, A.; Robins, G.; Lomi, A. (2018). "Fast Maximum Likelihood Estimation via Equilibrium Expectation for Large Network Data". ScientificStratocladistics (269 words) [view diff] case mismatch in snippet view article find links to article
58 (1): 163–172. Huelsenbeck, J. H.; Rannala, B. (1997). "Maximum Likelihood Estimation of Phylogeny Using Stratigraphic Data" (PDF). Paleobiology.Journal of Environmental Economics and Management (251 words) [view diff] no match in snippet view article find links to article
paradigm for valuing non-market goods using referendum data - maximum-likelihood estimation by censored logistic-regression, Cameron TA, Vol. 15(3) 355–379Linear classifier (1,180 words) [view diff] exact match in snippet view article find links to article
training of linear classifiers include: Logistic regression—maximum likelihood estimation of w → {\displaystyle {\vec {w}}} assuming that the observedMinimum chi-square estimation (679 words) [view diff] no match in snippet view article find links to article
hypothesis is true. However, that is not in general the case when maximum-likelihood estimation is used. It is however true asymptotically when minimum chi-squareLars Peter Hansen (2,009 words) [view diff] exact match in snippet view article find links to article
less stringent maintained model assumptions than needed for maximum likelihood estimation. However, these estimators are mathematically equivalent toScale-free network (6,723 words) [view diff] exact match in snippet view article find links to article
\gamma } of a scale-free network is typically done by using the maximum likelihood estimation with the degrees of a few uniformly sampled nodes. However,Generalized inverse Gaussian distribution (1,324 words) [view diff] exact match in snippet view article find links to article
ISBN 978-0-471-58495-7, MR 1299979 Dimitris Karlis, "An EM type algorithm for maximum likelihood estimation of the normal–inverse Gaussian distribution", Statistics & ProbabilityNakagami distribution (1,276 words) [view diff] no match in snippet view article find links to article
maximum-likelihood estimate of (m,σ). Because of the equivariance of maximum-likelihood estimation, a maximum likelihood estimate for Ω is obtained as well. TheGraphical lasso (491 words) [view diff] case mismatch in snippet view article find links to article
Laurent El (2005-06-08). "Sparse Covariance Selection via Robust Maximum Likelihood Estimation". arXiv:cs/0506023. Friedman, Jerome and Hastie, Trevor andRichard Samworth (386 words) [view diff] exact match in snippet view article find links to article
Cule, Madeleine; Samworth, Richard; Stewart, Michael (2010). "Maximum likelihood estimation of a multi-dimensional log-concave density". Journal of theMontgomery Slatkin (341 words) [view diff] no match in snippet view article find links to article
original on 2021-01-30. Excoffier, L.; Slatkin, M. (1995). "Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population"Log probability (939 words) [view diff] case mismatch in snippet view article find links to article
Papadopoulos, Alecos (September 25, 2013). "Why we always put log() before the joint pdf when we use MLE (Maximum likelihood Estimation)?". Stack Exchange.Z-test (1,791 words) [view diff] exact match in snippet view article find links to article
the most familiar Z-tests. Another class of Z-tests arises in maximum likelihood estimation of the parameters in a parametric statistical model. MaximumMethod of moments (statistics) (1,917 words) [view diff] exact match in snippet view article
not be known, and moment-based estimates may be preferred to maximum likelihood estimation. The equations to be solved in the method of moments (MoM) areWeiwen Miao (164 words) [view diff] case mismatch in snippet view article find links to article
master's degree and a Ph.D. there. Her 1995 doctoral dissertation, Maximum Likelihood Estimation for Exponential Families, was supervised by Marjorie Hahn. AfterGale J. Young (497 words) [view diff] exact match in snippet view article find links to article
1007/BF02478173. (See Julius Bernstein.) Young, Gale (1941). "Maximum likelihood estimation and factor analysis". Psychometrika. 6: 49–53. doi:10.1007/bF02288574Coefficient of determination (6,208 words) [view diff] exact match in snippet view article find links to article
determination when both can be computed; Its value is maximised by the maximum likelihood estimation of a model; It is asymptotically independent of the sample size;Variance function (4,499 words) [view diff] exact match in snippet view article find links to article
important role in parameter estimation and inference. In general, maximum likelihood estimation requires that a likelihood function be defined. This requirementPsychometric software (4,577 words) [view diff] exact match in snippet view article find links to article
application of Master’s partial credit model. The app adopts marginal maximum likelihood estimation and leverages off a total 31 open-source R packages (includingConfirmatory factor analysis (3,478 words) [view diff] case mismatch in snippet view article find links to article
of Categorical Diagonally Weighted Least Squares and Robust Maximum Likelihood Estimation". Structural Equation Modeling. 21 (1): 102–116. doi:10.1080/10705511Founders of statistics (2,073 words) [view diff] no match in snippet view article find links to article
estimation methods (with Legendre). Used loss functions and maximum-likelihood estimation Quetelet, Adolphe Belgian 1796 1874 Pioneered the use of probabilityVine copula (3,044 words) [view diff] exact match in snippet view article find links to article
proposed (e.g., ). Vine researchers have developed algorithms for maximum likelihood estimation and simulation of vine copulas, finding truncated vines thatWilliam Greene (economist) (326 words) [view diff] exact match in snippet view article
doi:10.2307/1913323. JSTOR 1913323. Greene, William H. (1980). "Maximum likelihood estimation of econometric frontier functions". Journal of EconometricsInformation integration theory (641 words) [view diff] exact match in snippet view article find links to article
New York: Academic Press. Norman, K. L. (1973). A method of maximum likelihood estimation for information integration models. (CHIP No. 35). La JollaCaroline Uhler (475 words) [view diff] exact match in snippet view article find links to article
of Business in 2011. Her doctoral dissertation, Geometry of maximum likelihood estimation in Gaussian graphical models, was supervised by Bernd SturmfelsGeneralized estimating equation (1,331 words) [view diff] case mismatch in snippet view article find links to article
Fitzmaurice, Garrett M.; Horton, Nicholas J. (October 2006). "Maximum Likelihood Estimation of Marginal Pairwise Associations with Multiple Source Predictors"Multilevel model (4,805 words) [view diff] exact match in snippet view article find links to article
researcher must decide whether to employ a maximum likelihood estimation or a restricted maximum likelihood estimation type. A random intercepts model is aU. Narayan Bhat (439 words) [view diff] case mismatch in snippet view article find links to article
Stat. Plan. and Inf., 61 (1997), 355-372 (with G. K. Miller). Maximum Likelihood Estimation for Single Server Queues from Waiting Time Data, Queueing SystemsGeneralized logistic distribution (3,526 words) [view diff] no match in snippet view article find links to article
[ y ] {\displaystyle k^{2}\neq {\text{var}}[y]} . Moreover maximum-likelihood estimation with this parametrization is hard. These problems can be addressedLinear-nonlinear-Poisson cascade model (881 words) [view diff] exact match in snippet view article find links to article
de Ruyter van Steveninck, R. R. (2000). Paninski, L. (2004) Maximum likelihood estimation of cascade point-process neural encoding models. In Network:Nowcasting (economics) (1,239 words) [view diff] case mismatch in snippet view article
June 2015. Bańbura, Marta; Modugno, Michele (2012-11-12). "Maximum Likelihood Estimation of Factor Models on Datasets with Arbitrary Pattern of MissingSupervised learning (3,011 words) [view diff] exact match in snippet view article find links to article
P(y|x)} , then empirical risk minimization is equivalent to maximum likelihood estimation. When G {\displaystyle G} contains many candidate functionsOversampled binary image sensor (1,565 words) [view diff] exact match in snippet view article find links to article
(x)} from the binary measurement b m {\displaystyle b_{m}} . Maximum likelihood estimation can be used for solving this problem. Fig. 4 shows the resultsRasch model (5,066 words) [view diff] exact match in snippet view article find links to article
parameters. This result is achieved through the use of conditional maximum likelihood estimation, in which the response space is partitioned according to personJohn Nelder (728 words) [view diff] exact match in snippet view article find links to article
proposed an iteratively reweighted least squares method for maximum likelihood estimation of the model parameters. In statistical inference, Nelder (alongRelative survival (1,107 words) [view diff] exact match in snippet view article find links to article
survival rates. Regression modelling can be performed using maximum likelihood estimation methods by using Stata or R. For example, the R package cmprskMonotone likelihood ratio (1,820 words) [view diff] no match in snippet view article find links to article
monotonicity comes in handy in statistics, particularly when using maximum-likelihood estimation. Also, distribution families with MLR have a number of well-behavedDaniel Dugué (485 words) [view diff] exact match in snippet view article find links to article
thesis, Dugué proves several theorems in the theory of the maximum likelihood estimation combining results and tools from probability theory, such asChristopher A. Sims (940 words) [view diff] exact match in snippet view article find links to article
doi:10.2307/1912017. JSTOR 1912017. Sargan, J.D. (1961). The maximum likelihood estimation of economic relationships with autoregressive residuals. EconometricaRice distribution (3,150 words) [view diff] case mismatch in snippet view article find links to article
Sijbers J., den Dekker A. J., Scheunders P. and Van Dyck D., "Maximum Likelihood estimation of Rician distribution parameters" Archived 19 October 2011Rice distribution (3,150 words) [view diff] case mismatch in snippet view article find links to article
Sijbers J., den Dekker A. J., Scheunders P. and Van Dyck D., "Maximum Likelihood estimation of Rician distribution parameters" Archived 19 October 2011Beta distribution (44,221 words) [view diff] exact match in snippet view article find links to article
in maximum likelihood estimation, see section "Parameter estimation, maximum likelihood." Actually, when performing maximum likelihood estimation, besidesDynamic unobserved effects model (1,406 words) [view diff] exact match in snippet view article find links to article
inside the likelihood function when estimating the model by maximum likelihood estimation (MLE). Expectation Maximum (EM) algorithm is usually a goodSherri Rose (1,084 words) [view diff] case mismatch in snippet view article find links to article
Payment Calibration." Another one of her studies, titled Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies, was selectedFriendship paradox (3,269 words) [view diff] case mismatch in snippet view article find links to article
Nettasinghe, Buddhika; Krishnamurthy, Vikram (2021-05-19). "Maximum Likelihood Estimation of Power-law Degree Distributions via Friendship Paradox-basedHerman Wold (1,140 words) [view diff] no match in snippet view article find links to article
literature contained some exaggerated claims for the superiority of maximum-likelihood estimation. In 1945 to 1965, Wold proposed and elaborated on his "recursiveFolded normal distribution (3,424 words) [view diff] exact match in snippet view article find links to article
parameters of the folded normal. All of them are essentially the maximum likelihood estimation procedure, but in some cases, a numerical maximization is performedControl function (econometrics) (1,156 words) [view diff] exact match in snippet view article
would be possible to estimate the relevant parameters by quasi-maximum likelihood estimation (QMLE). Following the two step procedure strategies, WooldridgeJohn Urschel (1,892 words) [view diff] case mismatch in snippet view article find links to article
Victor-Emmanuel Brunel, Ankur Moitra, Philippe Rigollet, John C. Urschel. Maximum Likelihood Estimation of Determinantal Point Processes, Preprint, arXiv:1701.06501Law of comparative judgment (1,928 words) [view diff] case mismatch in snippet view article find links to article
statistical conditioning during the process of Conditional Maximum Likelihood estimation. With this in mind, the specification of uniform discriminalUnit root (2,095 words) [view diff] case mismatch in snippet view article find links to article
2307/1912252. JSTOR 1912252. Sargan, J. D.; Bhargava, Alok (1983). "Maximum Likelihood Estimation of Regression Models with First Order Moving Average ErrorsYacine Aït-Sahalia (399 words) [view diff] no match in snippet view article find links to article
estimating and testing these models, of expansions to implement maximum-likelihood estimation of arbitrary models using discrete data, and numerous advancesMissing data (3,310 words) [view diff] exact match in snippet view article find links to article
approaches: The expectation-maximization algorithm full information maximum likelihood estimation Discriminative approaches: Max-margin classification of dataRichardson–Lucy deconvolution (2,134 words) [view diff] exact match in snippet view article find links to article
with ln ( P ) {\displaystyle \ln(P)} since in the context of maximum likelihood estimation the aim is to locate the maximum of the likelihood functionOutlier (3,484 words) [view diff] case mismatch in snippet view article find links to article
S2CID 19036098. Thompson .R. (1985). "A Note on Restricted Maximum Likelihood Estimation with an Alternative Outlier Model".Journal of the Royal StatisticalPatrick Minford (1,904 words) [view diff] case mismatch in snippet view article find links to article
Economics, 5, 1979, 67–80. R. Fair and J. Taylor, "Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models" EconometricaZero-inflated model (1,928 words) [view diff] no match in snippet view article find links to article
Vessel Reconstruction in Ultrasound Localization Microscopy by Maximum-Likelihood Estimation of a Zero-Inflated Poisson Model". IEEE Transactions on UltrasonicsMarcus Alexis (539 words) [view diff] exact match in snippet view article find links to article
Haines Jr, George H., Leonard S. Simon, and Marcus Alexis. "Maximum likelihood estimation of central-city food trading areas." Journal of marketing researchInformation matrix test (577 words) [view diff] case mismatch in snippet view article find links to article
the test generally performs poorly. White, Halbert (1982). "Maximum Likelihood Estimation of Misspecified Models". Econometrica. 50 (1): 1–25. doi:10Consensus clustering (2,950 words) [view diff] exact match in snippet view article find links to article
solution. Topchy et al.: They defined clustering aggregation as a maximum likelihood estimation problem, and they proposed an EM algorithm for finding the consensusStochastic volatility (2,423 words) [view diff] exact match in snippet view article find links to article
likely given the observed data. One popular technique is to use maximum likelihood estimation (MLE). For instance, in the Heston model, the set of model parametersZiheng Yang (2,338 words) [view diff] no match in snippet view article find links to article
1007/bf01734359. PMID 7288891. S2CID 8024924. Yang, Ziheng (1993). "Maximum-likelihood estimation of phylogeny from DNA sequences when substitution rates differUncertainty quantification (3,876 words) [view diff] exact match in snippet view article find links to article
as hyperparameters of the GP model, need to be estimated via maximum likelihood estimation (MLE). This module can be considered as a generalized krigingPolytomous Rasch model (2,660 words) [view diff] exact match in snippet view article find links to article
response data through an estimation process such as Conditional Maximum likelihood estimation. In general, the central feature of the measurement processNeural modeling fields (3,202 words) [view diff] exact match in snippet view article find links to article
smaller amount of data N. For example, an asymptotically unbiased maximum likelihood estimation leads to multiplicative p(N,M) = exp(-Npar/2), where Npar isHerman Otto Hartley (1,268 words) [view diff] no match in snippet view article find links to article
10482018. JSTOR 2681662. Hartley, H. O.; Rao, J. N. K. (1967). "Maximum-Likelihood Estimation for the Mixed Analysis of Variance Model". Biometrika. 54 (1/2):List of important publications in statistics (2,818 words) [view diff] no match in snippet view article find links to article
literature." Importance: Topic creator, Breakthrough, Influence Maximum-likelihood estimation for the mixed analysis of variance model Author: H. O. HartleyMichel Bierlaire (1,920 words) [view diff] exact match in snippet view article find links to article
developer of Biogeme, an open source project that performs the maximum likelihood estimation of parametric discrete choice models. It is working within theFay–Herriot model (1,066 words) [view diff] exact match in snippet view article find links to article
effects are estimated together iteratively. Methods can include maximum likelihood estimation, the method of moments, or a Bayesian way. Fay–Herriot modelsDavid Forbes Hendry (2,011 words) [view diff] exact match in snippet view article find links to article
(ISBN 0-19-828317-2) Journal articles Hendry, D.F. and P.K. Trivedi (1972). "Maximum likelihood estimation of difference equations with moving-average errors: A simulationPoint Cloud Library (3,250 words) [view diff] case mismatch in snippet view article find links to article
Randomized RANSAC SAC_RMSAC - Randomized MSAC SAC_MLESAC - Maximum LikeLihood Estimation SAmple Consensus SAC_PROSAC - PROgressive SAmple Consensus SeveralPattern recognition (4,255 words) [view diff] exact match in snippet view article find links to article
find the simplest possible model. Essentially, this combines maximum likelihood estimation with a regularization procedure that favors simpler models overLogistic function (6,102 words) [view diff] exact match in snippet view article find links to article
response theory. In particular, the Rasch model forms a basis for maximum likelihood estimation of the locations of objects or persons on a continuum, basedCharacteristic function (probability theory) (5,267 words) [view diff] exact match in snippet view article
the density are not available which makes implementation of maximum likelihood estimation difficult. Estimation procedures are available which match theHarmonic mean (5,959 words) [view diff] exact match in snippet view article find links to article
With the geometric mean the harmonic mean may be useful in maximum likelihood estimation in the four parameter case. A second harmonic mean (H1 − X)Bradley–Terry model (2,370 words) [view diff] exact match in snippet view article find links to article
competition. The simplest way to estimate the parameters is by maximum likelihood estimation, i.e., by maximizing the likelihood of the observed outcomesWilliam Schull (2,060 words) [view diff] exact match in snippet view article find links to article
T. E. and Schull, W. J. (1968) Letter to editor: A general maximum likelihood estimation program. Am. J. Hum. Genet. 20:579-580. Harburg, E., ErfurtOptical heterodyne detection (3,644 words) [view diff] no match in snippet view article find links to article
PMID 18382577. Erkmen, Baris I.; Barber, Zeb W.; Dahl, Jason (2013). "Maximum-likelihood estimation for frequency-modulated continuous-wave laser ranging usingJohn B. Taylor (3,174 words) [view diff] exact match in snippet view article find links to article
JSTOR 1911962. Taylor, John B.; Fair, Ray C. (July 1983). "Solution and maximum likelihood estimation of dynamic nonlinear rational expectations models". EconometricaPearson correlation coefficient (8,216 words) [view diff] exact match in snippet view article find links to article
ISBN 978-1-60021-976-4. Garren, Steven T. (15 June 1998). "Maximum likelihood estimation of the correlation coefficient in a bivariate normal model,Lagrange multiplier (7,741 words) [view diff] exact match in snippet view article find links to article
method of Lagrange multipliers Lagrange multiplier test in maximum likelihood estimation Lagrangian relaxation Hoffmann, Laurence D.; Bradley, GeraldState-space representation (4,893 words) [view diff] case mismatch in snippet view article find links to article
Research, Inc. Bańbura, Marta; Modugno, Michele (2012-11-12). "Maximum Likelihood Estimation of Factor Models on Datasets with Arbitrary Pattern of MissingBayesian inference in phylogeny (5,005 words) [view diff] no match in snippet view article find links to article
York: Academic Press. pp. 21–132. Yang Z (November 1993). "Maximum-likelihood estimation of phylogeny from DNA sequences when substitution rates differJohn Rust (2,748 words) [view diff] exact match in snippet view article find links to article
ISSN 0012-9682. JSTOR 1911259. S2CID 154722645. Rust, John (1988). "Maximum likelihood estimation of discrete control processes" (PDF). SIAM Journal on ControlCauchy distribution (6,871 words) [view diff] exact match in snippet view article find links to article
solution on a computer is typically required. The benefit of maximum likelihood estimation is asymptotic efficiency; estimating x 0 {\displaystyle x_{0}}Recursive least squares filter (2,407 words) [view diff] exact match in snippet view article find links to article
\lambda } is usually chosen between 0.98 and 1. By using type-II maximum likelihood estimation the optimal λ {\displaystyle \lambda } can be estimated fromMonte Carlo method (9,816 words) [view diff] exact match in snippet view article find links to article
and estimation". Studies on: Filtering, optimal control, and maximum likelihood estimation. Convention DRET no. 89.34.553.00.470.75.01. Research reportJon A. Wellner (627 words) [view diff] case mismatch in snippet view article find links to article
Wellner, Jon A. (1992). Information Bounds and Nonparametric Maximum Likelihood Estimation. Basel: Springer. ISBN 978-3-7643-2794-1. OCLC 26308177. BickelProbabilistic context-free grammar (5,256 words) [view diff] exact match in snippet view article find links to article
The phylogenetic tree, T can be calculated from the model by maximum likelihood estimation. Note that gaps are treated as unknown bases and the summationStructural alignment (5,364 words) [view diff] exact match in snippet view article find links to article
(2006). "Empirical Bayes hierarchical models for regularizing maximum likelihood estimation in the matrix Gaussian Procrustes problem". Proceedings of thePoisson distribution (10,959 words) [view diff] exact match in snippet view article find links to article
Speicher, pp. 203–204, Cambridge Univ. Press 2006 Paszek, Ewa. "Maximum likelihood estimation – examples". cnx.org. Van Trees, Harry L. (2013). DetectionPhoton-counting computed tomography (2,568 words) [view diff] exact match in snippet view article find links to article
determined from the recorded energy histogram, for example through maximum likelihood estimation. The reconstruction is then performed separately for each materialMixture model (7,773 words) [view diff] exact match in snippet view article find links to article
number of components. This is a particular way of implementing maximum likelihood estimation for this problem. EM is of particular appeal for finite normalItem response theory (6,332 words) [view diff] exact match in snippet view article find links to article
Park, CA: Sage Press. Bock, R.D.; Aitkin, M. (1981). "Marginal maximum likelihood estimation of item parameters: application of an EM algorithm". PsychometrikaRoderick J. A. Little (2,614 words) [view diff] exact match in snippet view article find links to article
authors list (link) Little, R.J.A. & Schluchter, M.D. (1985). "Maximum likelihood estimation for mixed continuous and categorical data with missing values"Non-negative matrix factorization (7,781 words) [view diff] exact match in snippet view article find links to article
multinomial PCA, probabilistic latent semantic analysis, trained by maximum likelihood estimation. That method is commonly used for analyzing and clustering textualStable distribution (8,439 words) [view diff] exact match in snippet view article find links to article
and quantiles for a general stable distribution, and performs maximum likelihood estimation of stable parameters and some exploratory data analysis techniquesHistory of statistics (7,618 words) [view diff] exact match in snippet view article find links to article
analysis of variance, Fisher named and promoted the method of maximum likelihood estimation. Fisher also originated the concepts of sufficiency, ancillaryNeural coding (8,613 words) [view diff] exact match in snippet view article find links to article
However, the noise inherent in neural responses means that a maximum likelihood estimation function is more accurate. This type of code is used to encodePearson's chi-squared test (5,788 words) [view diff] exact match in snippet view article find links to article
minimizing the chi-squared statistic. More generally however, when maximum likelihood estimation does not coincide with minimum chi-squared estimation, the distributionMinflux (1,829 words) [view diff] exact match in snippet view article find links to article
be estimated from the photon numbers, using, for example, a maximum likelihood estimation of the form: r → m ^ = a r g m a x L ( r → ∣ { n 0 , . . .Seismic array (3,063 words) [view diff] no match in snippet view article find links to article
in 1969 and further developed to include wide-band analysis, maximum-likelihood estimation techniques, and three-component data in the 1980s. The methodologyMean-field particle methods (8,571 words) [view diff] exact match in snippet view article find links to article
and estimation. Studies on: Filtering, optimal control, and maximum likelihood estimation. Convention DRET no. 89.34.553.00.470.75.01. Research reportQuantitative comparative linguistics (7,843 words) [view diff] exact match in snippet view article find links to article
positively misleading - Systematic Zoology 27 (1978). Rogers : Maximum likelihood estimation of phylogenetic trees is consistent when substitution ratesParticle filter (16,920 words) [view diff] exact match in snippet view article find links to article
and estimation. Studies on: Filtering, optimal control, and maximum likelihood estimation. Convention DRET no. 89.34.553.00.470.75.01. Research reportBiological neuron model (14,904 words) [view diff] exact match in snippet view article find links to article
PMID 7903867. S2CID 6195748. Paninski L (November 2004). "Maximum likelihood estimation of cascade point-process neural encoding models". Network: ComputationJerry M. Mendel (2,830 words) [view diff] no match in snippet view article find links to article
which involves utilizing state-variable technology (smoothing), maximum-likelihood estimation, and a sparse spike train model to detect reflectors. MendelAncestral reconstruction (13,021 words) [view diff] exact match in snippet view article find links to article
PMID 14530136. Doornik JA, Ooms M (2003). "Computational aspects of maximum likelihood estimation of autoregressive fractionally integrated moving average models"Thomas J. Sargent (2,078 words) [view diff] exact match in snippet view article find links to article
[permanent dead link] Sargent, T. J. (1979). "A note on maximum likelihood estimation of the rational expectations model of the term structure" (PDF)