VMCMC: a graphical and statistical analysis tool for Markov chain Monte Carlo traces

被引：0
|
作者：
Raja H. Ali
Mikael Bark
Jorge Miró
Sayyed A. Muhammad
Joel Sjöstrand
Syed M. Zubair
Raja M. Abbas
Lars Arvestad
机构：
[1] KTH Royal Institute of Technology,Department of Numerical Analysis and Computer Science, Swedish e
[2] Swedish e-Science Research Centre,Science Research Centre, Science for Life Laboratory
[3] Science for Life Laboratory,Department of Computer Science and Information Technology
[4] School of Computer Science and Communication,Department of Computer Science and Engineering
[5] KTH Royal Institute of Technology,undefined
[6] School of Information and Communication Technology,undefined
[7] Stockholm University,undefined
[8] KTH Royal Institute of Technology,undefined
[9] Laboratory for Communication Networks,undefined
[10] School of Electrical Engineering,undefined
[11] University of Balochistan,undefined
[12] University of Gothenburg,undefined
来源：
BMC Bioinformatics | / 18卷
关键词：
Convergence; Markov chain Monte Carlo; Metropolis-Hastings; Phylogenetics; Software; Visualization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] The pharmacokinetics of saquinavir: A Markov chain Monte Carlo population analysis
    Lunn, DJ
    Aarons, L
    JOURNAL OF PHARMACOKINETICS AND BIOPHARMACEUTICS, 1998, 26 (01): : 47 - 74
  • [32] Markov Chain Monte Carlo for Automated Face Image Analysis
    Sandro Schönborn
    Bernhard Egger
    Andreas Morel-Forster
    Thomas Vetter
    International Journal of Computer Vision, 2017, 123 : 160 - 183
  • [33] Data Analysis Recipes: Using Markov Chain Monte Carlo
    Hogg, David W.
    Foreman-Mackey, Daniel
    ASTROPHYSICAL JOURNAL SUPPLEMENT SERIES, 2018, 236 (01):
  • [34] The Pharmacokinetics of Saquinavir: A Markov Chain Monte Carlo Population Analysis
    David J. Lunn
    Leon Aarons
    Journal of Pharmacokinetics and Biopharmaceutics, 1998, 26 : 47 - 74
  • [35] Indirect gradient analysis by Markov-chain Monte Carlo
    Steven C. Walker
    Plant Ecology, 2015, 216 : 697 - 708
  • [36] Indirect gradient analysis by Markov-chain Monte Carlo
    Walker, Steven C.
    PLANT ECOLOGY, 2015, 216 (05) : 697 - 708
  • [37] Adaptive Markov chain Monte Carlo forward projection for statistical analysis in epidemic modelling of human papillomavirus
    Korostil, Igor A.
    Peters, Gareth W.
    Cornebise, Julien
    Regan, David G.
    STATISTICS IN MEDICINE, 2013, 32 (11) : 1917 - 1953
  • [38] Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models
    Dellaportas, P
    Forster, JJ
    BIOMETRIKA, 1999, 86 (03) : 615 - 633
  • [39] Sequential Monte Carlo Samplers with Independent Markov Chain Monte Carlo Proposals
    South, L. F.
    Pettitt, A. N.
    Drovandi, C. C.
    BAYESIAN ANALYSIS, 2019, 14 (03): : 753 - 776
  • [40] A SWITCHING MARKOV CHAIN MONTE CARLO METHOD FOR STATISTICAL IDENTIFIABILITY OF NONLINEAR PHARMACOKINETICS MODELS
    Kim, Seongho
    Li, Lang
    STATISTICA SINICA, 2012, 22 (03) : 1199 - 1215
12345