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searching for Ridge regression 76 found (123 total)

alternate case: ridge regression

Gaussian process (5,929 words) [view diff] no match in snippet view article find links to article

In probability theory and statistics, a Gaussian process is a stochastic process (a collection of random variables indexed by time or space), such that
Mark Pagel (744 words) [view diff] exact match in snippet view article find links to article
Washington where he was awarded a PhD in Mathematics in 1980 for work on ridge regression. During the late 1980s, Pagel worked on developing ways to analyse
Spike-triggered average (1,249 words) [view diff] exact match in snippet view article find links to article
variance). A common approach to this problem is ridge regression. The regularized STA, computed using ridge regression, can be written S T A r i d g e = T n s
Jan Kmenta (1,495 words) [view diff] exact match in snippet view article find links to article
missing observations, estimation of production function parameters, and ridge regression among many others. Much of his published research is focused on econometric
Goodness of fit (1,150 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Regression validation (1,117 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Multinomial probit (701 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Nonparametric regression (677 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Matt McGue (213 words) [view diff] exact match in snippet view article find links to article
Psychology Behavioral genetics Institutions University of Minnesota Thesis Ridge regression: Estimation and Prediction  (1981) Doctoral advisor Thomas J. Bouchard
Binary regression (581 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Nonlinear regression (1,394 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Isotonic regression (1,449 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Least-angle regression (769 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Non-negative least squares (935 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Semiparametric regression (1,170 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Iteratively reweighted least squares (820 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Hrishikesh Vinod (1,061 words) [view diff] case mismatch in snippet view article find links to article
1016/0304-4076(76)90010-5. Vinod, Hrishikesh D. (1976). "Application of New Ridge Regression Methods to a Study of Bell System Scale Economies". Journal of the
List of University of Delaware people (3,057 words) [view diff] case mismatch in snippet view article find links to article
Prize in Chemistry Laureate Arthur Hoerl, Statistics, co-inventor of Ridge Regression Christine Leigh Heyrman, History William Innes Homer (1929–2012), Art
George Casella (415 words) [view diff] case mismatch in snippet view article find links to article
University Cornell University University of Florida Thesis Minimax Ridge Regression Estimation (1977) Doctoral advisor Leon Jay Gleser Doctoral students
Random effects model (1,216 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Keith Mitchell (1,187 words) [view diff] exact match in snippet view article find links to article
Retrieved 1 October 2011. Mitchell, Keith Claudius (1980). A study of ridge regression and some examples of its application in multivariate analysis (Thesis)
Manifold regularization (3,872 words) [view diff] exact match in snippet view article find links to article
labels, subject to regularization. Ridge regression is one form of RLS; in general, RLS is the same as ridge regression combined with the kernel method.[citation
Linear least squares (5,375 words) [view diff] exact match in snippet view article find links to article
techniques can be applied in such cases, the most common of which is called ridge regression. If further information about the parameters is known, for example
Segmented regression (1,430 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Marchenko–Pastur distribution (1,294 words) [view diff] exact match in snippet view article find links to article
Marchenko-Pastur law, show up in the limiting Bias and Variance respectively, of ridge regression and other regularized linear regression problems. One can show that
Ordered logit (1,313 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
General linear model (1,207 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Weighted least squares (2,249 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Binomial regression (2,055 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Errors and residuals (2,168 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Mixed logit (1,816 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Shogun (toolbox) (468 words) [view diff] case mismatch in snippet view article
SGD-QN, Vowpal Wabbit Clustering algorithms: k-means and GMM Kernel Ridge Regression, Support Vector Regression Hidden Markov Models K-Nearest Neighbors
Studentized residual (1,575 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Mixed model (2,887 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Multivariate probit model (1,493 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Analytics (ice hockey) (1,667 words) [view diff] exact match in snippet view article
statistic a high number of samples. RAPM uses a mathematical model with ridge regression that takes into account raw shot creation, Corsi and xG, and outside
Nedret Billor (201 words) [view diff] case mismatch in snippet view article find links to article
University of Sheffield in 1992; her dissertation, Diagnostic Methods in Ridge Regression and Errors-in-variables Model, was supervised by Robert Loynes. She
Least absolute deviations (2,154 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Robust regression (2,643 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Polynomial regression (2,418 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Generalized least squares (2,846 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Variance inflation factor (1,770 words) [view diff] case mismatch in snippet view article find links to article
Brooks/Cole. p. 615. Marquardt, D. W. (1970). "Generalized Inverses, Ridge Regression, Biased Linear Estimation, and Nonlinear Estimation". Technometrics
DeFries–Fulker regression (685 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Bayesian multivariate linear regression (2,737 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Ordinal regression (1,316 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Partial least squares regression (2,972 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Fixed effects model (3,166 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Regression analysis (5,343 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Total least squares (3,298 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Generalized linear model (4,246 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Psathyrostachys juncea (1,287 words) [view diff] case mismatch in snippet view article find links to article
Wang, Xianguo; Zhou, He; Han, Jianguo; Gislum, René (2011). "Path and Ridge Regression Analysis of Seed Yield and Seed Yield Components of Russian Wildrye
Probit model (3,260 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Mlpack (1,438 words) [view diff] case mismatch in snippet view article find links to article
Nearest Neighbor (RANN) Simple Least-Squares Linear Regression (and Ridge Regression) Sparse Coding, Sparse dictionary learning Tree-based Neighbor Search
Quantile regression (4,109 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Simple linear regression (5,331 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Non-linear least squares (4,539 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Least-squares spectral analysis (3,354 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
HeuristicLab (1,117 words) [view diff] case mismatch in snippet view article find links to article
Classification Support Vector Regression and Classification Elastic-Net Kernel Ridge Regression Decision Tree Regression Barnes-Hut t-SNE User-Defined Algorithm: Allows
Multinomial logistic regression (5,245 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Nonlinear mixed-effects model (3,677 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Arellano–Bond estimator (2,164 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Local regression (5,124 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Multilevel model (4,923 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Multilevel regression with poststratification (1,643 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Errors-in-variables model (5,731 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Working–Hotelling procedure (2,085 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Fay–Herriot model (1,066 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Vector generalized linear model (4,746 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Discrete choice (6,346 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Extreme learning machine (3,643 words) [view diff] exact match in snippet view article find links to article
Steil, Jochen J. (2013). "Optimizing extreme learning machines via ridge regression and batch intrinsic plasticity". Neurocomputing. 102: 23–30. doi:10
P. A. V. B. Swamy (2,359 words) [view diff] case mismatch in snippet view article find links to article
Rappoport (1978), "Two Methods of Evaluating Hoerl and Kennard's Ridge Regression,"Communications in Statistics - Theory and Methods 7, Issue 12:1133-1155
List of mass spectrometry software (3,996 words) [view diff] case mismatch in snippet view article find links to article
L. J. E.; Gevaert, K.; Clement, L. (2016). "Peptide-level Robust Ridge Regression Improves Estimation, Sensitivity, and Specificity in Data-dependent
Polygenic score (6,725 words) [view diff] case mismatch in snippet view article find links to article
S2CID 235732957. de Vlaming R, Groenen PJ (2015). "The Current and Future Use of Ridge Regression for Prediction in Quantitative Genetics". BioMed Research International
Variance function (4,499 words) [view diff] exact match in snippet view article find links to article
Generalized Generalized estimating equation Partial Total Non-negative Ridge regression Regularized Least absolute deviations Iteratively reweighted Bayesian
Gary Smith (economist) (3,098 words) [view diff] case mismatch in snippet view article
259–293. Smith, Gary, Campbell, Frank. (1980). “A Critique of Some Ridge Regression Methods,” Journal of the American Statistical Association, with discussion
Kernel embedding of distributions (9,762 words) [view diff] exact match in snippet view article find links to article
the outputs. In other words, one can consider the following kernel ridge regression problem ( λ > 0 ) {\displaystyle (\lambda >0)} J ( f ) = 1 ℓ ∑ i =