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searching for Importance sampling 33 found (81 total)

Non-linear mixed-effects modeling software (602 words) [view diff] exact match in snippet view article find links to article

(LAPL), approximation methods such as iterative-two stage (ITS), importance sampling (IMP), stochastic approximation estimation (SAEM) or direct sampling

Metadynamics (3,757 words) [view diff] exact match in snippet view article find links to article

original and well-tempered metadynamics were derived in the context of importance sampling and shown to be a special case of the adaptive biasing potential

Normalizing constant (1,010 words) [view diff] exact match in snippet view article find links to article

Monte Carlo estimator, the generalized harmonic mean estimator, and importance sampling. The Legendre polynomials are characterized by orthogonality with

Numerical sign problem (2,218 words) [view diff] exact match in snippet view article find links to article

configurations numerically, using standard techniques such as Monte Carlo importance sampling. The sign problem arises when ρ [ σ ] {\displaystyle \rho [\sigma

ADMB (1,680 words) [view diff] exact match in snippet view article find links to article

effects in a frequentist framework using Laplace approximation and importance sampling. ADMB is widely used by scientists in academic institutions, government

Cinema 4D (1,010 words) [view diff] case mismatch in snippet view article find links to article

shader, normalizer Subsurface Scattering enhancements. GI Multiple Importance Sampling Radiosity Maps NUKE export with position pass render Xrefs enhanced

Permutation test (2,837 words) [view diff] exact match in snippet view article find links to article

10477989. Mehta, C. R.; Patel, N. R.; Senchaudhuri, P. (1988). "Importance sampling for estimating exact probabilities in permutational inference". Journal

Computational chemistry (8,359 words) [view diff] exact match in snippet view article find links to article

random sampling method, which makes use of the so-called importance sampling. Importance sampling methods are able to generate low energy states, as this

Multivariate probit model (1,416 words) [view diff] exact match in snippet view article find links to article

can be used to simulated the choice probabilities. Methods using importance sampling include the GHK algorithm, AR (accept-reject), Stern's method. There

NONMEM (460 words) [view diff] exact match in snippet view article find links to article

(LAPL), approximation methods such as iterative-two stage (ITS), importance sampling (IMP), stochastic approximation estimation (SAEM) or direct sampling

Probabilistic programming (1,777 words) [view diff] case mismatch in snippet view article find links to article

Saurabh (January 28, 2020), MultiVerse: Causal Reasoning using Importance Sampling in Probabilistic Programming, arXiv:1910.08091 Gorinova, Maria I

Bruce R. Davis (506 words) [view diff] exact match in snippet view article find links to article

the 1989 IREE Norman W. V. Hayes Medal. B. R. Davis, "An improved importance sampling method for digital-communication system simulations," IEEE Transactions

Shading language (1,537 words) [view diff] exact match in snippet view article find links to article

define how surfaces or volumes scatter light in a way that allows for importance sampling; thus, it is well suited for physically-based renderers that support

Softmax function (4,737 words) [view diff] case mismatch in snippet view article find links to article

that restrict the normalization sum to a sample of outcomes (e.g. Importance Sampling, Target Sampling). Geometrically the softmax function maps the vector

Michael Keane (economist) (3,215 words) [view diff] exact match in snippet view article

known for work on the following topics: Keane's work on recursive importance sampling (the "GHK" algorithm), contained in his thesis (1990) and published

Yuguo Chen (214 words) [view diff] case mismatch in snippet view article find links to article

Institutions University of Illinois at Urbana-Champaign Thesis Sequential Importance Sampling with Resampling: Theory and Applications (2001) Doctoral advisor

Peter Richtarik (874 words) [view diff] exact match in snippet view article find links to article

Learning. pp. 1110–1119. Dominik Csiba & Peter Richtarik (2016). "Importance sampling for minibatches". arXiv:1602.02283 [cs.LG]. Dominik Csiba & Peter

Nested sampling algorithm (2,160 words) [view diff] exact match in snippet view article find links to article

from the Bayesian literature such as bridge sampling and defensive importance sampling. Here is a simple version of the nested sampling algorithm, followed

Vivek Borkar (1,744 words) [view diff] exact match in snippet view article find links to article

limits and developed a protocol which used conditional version of importance sampling for the estimation of Markov chain averages; the scheme was later

Radford M. Neal (693 words) [view diff] exact match in snippet view article find links to article

ISSN 1061-8600. JSTOR 1390653. Neal, Radford M. (2001). "Annealed importance sampling". Statistics and Computing. 11 (2): 125–139. doi:10.1023/A:1008923215028

Pseudo-marginal Metropolis–Hastings algorithm (1,287 words) [view diff] exact match in snippet view article find links to article

the integral on the right-hand side is not analytically available, importance sampling can be used to estimate the likelihood. Introduce an auxiliary distribution

Luby transform code (1,582 words) [view diff] case mismatch in snippet view article find links to article

December 2005. Optimizing the Degree Distribution of LT Codes with an Importance Sampling Approach, by Esa Hyytiä, Tuomas Tirronen, and Jorma Virtamo (2006)

Newton's method (8,366 words) [view diff] case mismatch in snippet view article find links to article

(2007). "Chapter 9. Root Finding and Nonlinear Sets of Equations Importance Sampling". Numerical Recipes: The Art of Scientific Computing (3rd ed.). New

Herman K. van Dijk (841 words) [view diff] exact match in snippet view article find links to article

the computation of posterior moments and densities using simple importance sampling." The Statistician (1987): 83-90. Christiaan Heij et al. (2004) List

Perfect phylogeny (1,646 words) [view diff] exact match in snippet view article find links to article

BJ (July 2017). "Tumor phylogeny inference using tree-constrained importance sampling". Bioinformatics. 33 (14): i152–i160. doi:10.1093/bioinformatics/btx270

Farthest-first traversal (3,123 words) [view diff] exact match in snippet view article find links to article

Ravi; Belongie, Serge J.; Jensen, Henrik Wann (2003), "Structured importance sampling of environment maps", ACM Trans. Graph., 22 (3): 605–612, doi:10

Mi Zhang (1,043 words) [view diff] case mismatch in snippet view article find links to article

"Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling". ACM Conference on Embedded Networked Sensor Systems (SenSys), (2021)

Steve MacEachern (372 words) [view diff] case mismatch in snippet view article find links to article

MacEachern, Steven N.; Clyde, Merlise; Liu, Jun S. (1999). "Sequential Importance Sampling for Nonparametric Bayes Models: The Next Generation". The Canadian

Infinite sites model (992 words) [view diff] exact match in snippet view article find links to article

S2CID 592613. Hobolth, Asger; Uyenoyama, Marcy K.; Wiuf, Carsten (2008). "Importance sampling for the infinite sites model". Statistical Applications in Genetics

Tumour heterogeneity (6,937 words) [view diff] exact match in snippet view article find links to article

Gryte (2017). "Tumor phylogeny inference using tree-constrained importance sampling". Bioinformatics. 33 (14): i152–i160. doi:10.1093/bioinformatics/btx270

Kaczmarz method (4,520 words) [view diff] exact match in snippet view article find links to article

descent and randomized Newton method. Block versions and versions with importance sampling of all these methods also arise as special cases. The method is shown

Stein discrepancy (4,573 words) [view diff] exact match in snippet view article find links to article

" arXiv preprint arXiv:2105.09994. 2021. Liu Q, Lee J. Black-box importance sampling. In Artificial Intelligence and Statistics 2017 (pp. 952-961). PMLR

Worst-case distance (1,539 words) [view diff] exact match in snippet view article find links to article

partial results are combined into an overall estimate. In opposite to importance sampling or WCD, SSS makes no assumptions on the fail boundary shape or number