147 related articles for article (PubMed ID: 33851463)
21. Bayesian latent time joint mixed effect models for multicohort longitudinal data.
Li D; Iddi S; Thompson WK; Donohue MC;
Stat Methods Med Res; 2019 Mar; 28(3):835-845. PubMed ID: 29168432
[TBL] [Abstract][Full Text] [Related]
22. Study of Bayesian variable selection method on mixed linear regression models.
Li Y; Liu H; Li R
PLoS One; 2023; 18(3):e0283100. PubMed ID: 36930589
[TBL] [Abstract][Full Text] [Related]
23. Empirical Markov Chain Monte Carlo Bayesian analysis of fMRI data.
de Pasquale F; Del Gratta C; Romani GL
Neuroimage; 2008 Aug; 42(1):99-111. PubMed ID: 18538586
[TBL] [Abstract][Full Text] [Related]
24. Bayesian inference for generalized linear mixed models with predictors subject to detection limits: an approach that leverages information from auxiliary variables.
Yue YR; Wang XF
Stat Med; 2016 May; 35(10):1689-705. PubMed ID: 26643287
[TBL] [Abstract][Full Text] [Related]
25. A Partially Confirmatory Approach to the Multidimensional Item Response Theory with the Bayesian Lasso.
Chen J
Psychometrika; 2020 Sep; 85(3):738-774. PubMed ID: 32979182
[TBL] [Abstract][Full Text] [Related]
26. Ultra-Fast Approximate Inference Using Variational Functional Mixed Models.
Huo S; Morris JS; Zhu H
J Comput Graph Stat; 2023; 32(2):353-365. PubMed ID: 37608921
[TBL] [Abstract][Full Text] [Related]
27. Group-representative functional network estimation from multi-subject fMRI data via MRF-based image segmentation.
Tang B; Iyer A; Rao V; Kong N
Comput Methods Programs Biomed; 2019 Oct; 179():104976. PubMed ID: 31443856
[TBL] [Abstract][Full Text] [Related]
28. Estimating uncertainty in MRF-based image segmentation: A perfect-MCMC approach.
Awate SP; Garg S; Jena R
Med Image Anal; 2019 Jul; 55():181-196. PubMed ID: 31085445
[TBL] [Abstract][Full Text] [Related]
29. Variational inference accelerates accurate DNA mixture deconvolution.
Susik M; Sbalzarini IF
Forensic Sci Int Genet; 2023 Jul; 65():102890. PubMed ID: 37257308
[TBL] [Abstract][Full Text] [Related]
30. Inversion of hierarchical Bayesian models using Gaussian processes.
Lomakina EI; Paliwal S; Diaconescu AO; Brodersen KH; Aponte EA; Buhmann JM; Stephan KE
Neuroimage; 2015 Sep; 118():133-45. PubMed ID: 26048619
[TBL] [Abstract][Full Text] [Related]
31. Variational inference for rare variant detection in deep, heterogeneous next-generation sequencing data.
Zhang F; Flaherty P
BMC Bioinformatics; 2017 Jan; 18(1):45. PubMed ID: 28103803
[TBL] [Abstract][Full Text] [Related]
32. Bayesian adaptive lasso for additive hazard regression with current status data.
Wang C; Li Q; Song X; Dong X
Stat Med; 2019 Sep; 38(20):3703-3718. PubMed ID: 31197854
[TBL] [Abstract][Full Text] [Related]
33. Bayesian Multiresolution Variable Selection for Ultra-High Dimensional Neuroimaging Data.
Zhao Y; Kang J; Long Q
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(2):537-550. PubMed ID: 29610102
[TBL] [Abstract][Full Text] [Related]
34. Variational Bayes for high-dimensional proportional hazards models with applications within gene expression.
Komodromos M; Aboagye EO; Evangelou M; Filippi S; Ray K
Bioinformatics; 2022 Aug; 38(16):3918-3926. PubMed ID: 35751586
[TBL] [Abstract][Full Text] [Related]
35. Functional regression via variational Bayes.
Goldsmith J; Wand MP; Crainiceanu C
Electron J Stat; 2011 Jan; 5():572-602. PubMed ID: 22163061
[TBL] [Abstract][Full Text] [Related]
36. A novel Bayesian continuous piecewise linear log-hazard model, with estimation and inference via reversible jump Markov chain Monte Carlo.
Chapple AG; Peak T; Hemal A
Stat Med; 2020 May; 39(12):1766-1780. PubMed ID: 32086957
[TBL] [Abstract][Full Text] [Related]
37. Bayesian methods for FMRI time-series analysis using a nonstationary model for the noise.
Oikonomou VP; Tripoliti EE; Fotiadis DI
IEEE Trans Inf Technol Biomed; 2010 May; 14(3):664-74. PubMed ID: 20123577
[TBL] [Abstract][Full Text] [Related]
38. An Annealed Sequential Monte Carlo Method for Bayesian Phylogenetics.
Wang L; Wang S; Bouchard-Côté A
Syst Biol; 2020 Jan; 69(1):155-183. PubMed ID: 31173141
[TBL] [Abstract][Full Text] [Related]
39. Parallel probability density approximation.
Lin YS; Heathcote A; Holmes WR
Behav Res Methods; 2019 Dec; 51(6):2777-2799. PubMed ID: 31471826
[TBL] [Abstract][Full Text] [Related]
40. Bayesian variable selection in linear quantile mixed models for longitudinal data with application to macular degeneration.
Ji Y; Shi H
PLoS One; 2020; 15(10):e0241197. PubMed ID: 33104698
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]