397 related articles for article (PubMed ID: 28649173)
1. Markov Chain Monte Carlo Inference of Parametric Dictionaries for Sparse Bayesian Approximations.
Chaspari T; Tsiartas A; Tsilifis P; Narayanan S
IEEE Trans Signal Process; 2016 Jun; 64(12):3077-3092. PubMed ID: 28649173
[TBL] [Abstract][Full Text] [Related]
2. Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology.
Dhamala J; Arevalo HJ; Sapp J; Horácek BM; Wu KC; Trayanova NA; Wang L
Med Image Anal; 2018 Aug; 48():43-57. PubMed ID: 29843078
[TBL] [Abstract][Full Text] [Related]
3. A comparison of computational algorithms for the Bayesian analysis of clinical trials.
Chen Z; Berger JS; Castellucci LA; Farkouh M; Goligher EC; Hade EM; Hunt BJ; Kornblith LZ; Lawler PR; Leifer ES; Lorenzi E; Neal MD; Zarychanski R; Heath A
Clin Trials; 2024 May; ():17407745241247334. PubMed ID: 38752434
[TBL] [Abstract][Full Text] [Related]
4. BAYESIAN INFERENCE OF STOCHASTIC REACTION NETWORKS USING MULTIFIDELITY SEQUENTIAL TEMPERED MARKOV CHAIN MONTE CARLO.
Catanach TA; Vo HD; Munsky B
Int J Uncertain Quantif; 2020; 10(6):515-542. PubMed ID: 34007522
[TBL] [Abstract][Full Text] [Related]
5. Shrinkage with shrunken shoulders: Gibbs sampling shrinkage model posteriors with guaranteed convergence rates.
Nishimura A; Suchard MA
Bayesian Anal; 2023 Jun; 18(2):367-390. PubMed ID: 38770434
[TBL] [Abstract][Full Text] [Related]
6. Adaptive Mixture Modelling Metropolis Methods for Bayesian Analysis of Non-linear State-Space Models.
Niemi J; West M
J Comput Graph Stat; 2010 Jun; 19(2):260-280. PubMed ID: 20563281
[TBL] [Abstract][Full Text] [Related]
7. A Gibbs Sampler for Learning DAGs.
Goudie RJ; Mukherjee S
J Mach Learn Res; 2016 Apr; 17(30):1-39. PubMed ID: 28331463
[TBL] [Abstract][Full Text] [Related]
8. Discriminative Bayesian Dictionary Learning for Classification.
Akhtar N; Shafait F; Mian A
IEEE Trans Pattern Anal Mach Intell; 2016 Dec; 38(12):2374-2388. PubMed ID: 26886965
[TBL] [Abstract][Full Text] [Related]
9. A Semiparametric Bayesian Approach to Heterogeneous Spatial Autoregressive Models.
Liu T; Xu D; Ke S
Entropy (Basel); 2024 Jun; 26(6):. PubMed ID: 38920507
[TBL] [Abstract][Full Text] [Related]
10. Monte Carlo samplers for efficient network inference.
Kilic Z; Schweiger M; Moyer C; Pressé S
PLoS Comput Biol; 2023 Jul; 19(7):e1011256. PubMed ID: 37463156
[TBL] [Abstract][Full Text] [Related]
11. Geometric ergodicity of a hybrid sampler for Bayesian inference of phylogenetic branch lengths.
Spade DA; Herbei R; Kubatko LS
Math Biosci; 2015 Oct; 268():9-21. PubMed ID: 26256054
[TBL] [Abstract][Full Text] [Related]
12. A general construction for parallelizing Metropolis-Hastings algorithms.
Calderhead B
Proc Natl Acad Sci U S A; 2014 Dec; 111(49):17408-13. PubMed ID: 25422442
[TBL] [Abstract][Full Text] [Related]
13. An Auxiliary Variable Method for Markov Chain Monte Carlo Algorithms in High Dimension.
Marnissi Y; Chouzenoux E; Benazza-Benyahia A; Pesquet JC
Entropy (Basel); 2018 Feb; 20(2):. PubMed ID: 33265201
[TBL] [Abstract][Full Text] [Related]
14. Population PBPK modeling using parametric and nonparametric methods of the Simcyp Simulator, and Bayesian samplers.
Wedagedera JR; Afuape A; Chirumamilla SK; Momiji H; Leary R; Dunlavey M; Matthews R; Abduljalil K; Jamei M; Bois FY
CPT Pharmacometrics Syst Pharmacol; 2022 Jun; 11(6):755-765. PubMed ID: 35385609
[TBL] [Abstract][Full Text] [Related]
15. Study on mapping quantitative trait loci for animal complex binary traits using Bayesian-Markov chain Monte Carlo approach.
Liu J; Zhang Y; Zhang Q; Wang L; Zhang J
Sci China C Life Sci; 2006 Dec; 49(6):552-9. PubMed ID: 17312993
[TBL] [Abstract][Full Text] [Related]
16. Bayesian K-SVD Using Fast Variational Inference.
Serra JG; Testa M; Molina R; Katsaggelos AK
IEEE Trans Image Process; 2017 Jul; 26(7):3344-3359. PubMed ID: 28362587
[TBL] [Abstract][Full Text] [Related]
17. Stability of noisy Metropolis-Hastings.
Medina-Aguayo FJ; Lee A; Roberts GO
Stat Comput; 2016; 26(6):1187-1211. PubMed ID: 32055107
[TBL] [Abstract][Full Text] [Related]
18. Perturbation bounds for Monte Carlo within Metropolis via restricted approximations.
Medina-Aguayo F; Rudolf D; Schweizer N
Stoch Process Their Appl; 2020 Apr; 130(4):2200-2227. PubMed ID: 32255890
[TBL] [Abstract][Full Text] [Related]
19. Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning.
Pisharady PK; Sotiropoulos SN; Duarte-Carvajalino JM; Sapiro G; Lenglet C
Neuroimage; 2018 Feb; 167():488-503. PubMed ID: 28669918
[TBL] [Abstract][Full Text] [Related]
20. A Novel and Highly Effective Bayesian Sampling Algorithm Based on the Auxiliary Variables to Estimate the Testlet Effect Models.
Lu J; Zhang J; Zhang Z; Xu B; Tao J
Front Psychol; 2021; 12():509575. PubMed ID: 34456774
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
