HOT PAPERS - STATISTICS - BAYESIAN COMPUTATION VIA THE GIBBS SAMPLER AND RELATED MARKOV-CHAIN MONTE-CARLO METHODS - SMITH,AFM, ROBERTS,GO

被引：0
|
作者：
ROBERTS, G
机构：
来源：
SCIENTIST | 1994年 / 8卷 / 21期
关键词：
D O I：
暂无
中图分类号：
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号：
1205 ; 120501 ;
摘要：
statistician Gareth Roberts expands on MCMC methodology.
引用
收藏
页码：16 / 16
页数：1
相关论文
共 4 条
  • [1] BAYESIAN COMPUTATION VIA THE GIBBS SAMPLER AND RELATED MARKOV-CHAIN MONTE-CARLO METHODS
    SMITH, AFM
    ROBERTS, GO
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1993, 55 (01): : 3 - 23
  • [2] BAYESIAN MODEL CHOICE VIA MARKOV-CHAIN MONTE-CARLO METHODS
    CARLIN, BP
    CHIB, S
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-METHODOLOGICAL, 1995, 57 (03): : 473 - 484
  • [3] BAYESIAN-ANALYSIS OF RING-RECOVERY DATA VIA MARKOV-CHAIN MONTE-CARLO SIMULATION
    VOUNATSOU, P
    SMITH, AFM
    BIOMETRICS, 1995, 51 (02) : 687 - 708
  • [4] Bayesian calibration and fitting of nuclear thermal-hydraulic models by Markov chain Monte Carlo methods using the Gibbs sampler
    Munoz-Cobo, Jose L.
    Berna-Escriche, Cesar
    Blanco, David
    ANNALS OF NUCLEAR ENERGY, 2024, 198
1