Simulation-based bayesian inference using BUGS

被引：0
作者：
Ching-fan Sheu
Suzanne L. O’Curry
机构：
[1] DePaul University,Department of Psychology
来源：
Behavior Research Methods, Instruments, & Computers | 1998年 / 30卷
关键词：
Bayesian Inference; Gibbs Sampling; Markov Chain Monte Carlo Method; Bayesian Computation; Markov Chain Monte Carlo Procedure;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We illustrate the application of BUGS, a Bayesian computer program, with two examples. The algorithm used in the program is a popular Markov chain Monte Carlo procedure called Gibbs sampling. Bayesian analysis based on simulation has been applied to a wide range of complex problems (Gilks, Richardson, & Spiegelhalter, 1996). The availability of a general purpose program like BUGS should facilitate important applications of Bayesian inference in psychological research.
引用
收藏
页码：232 / 237
页数：5
相关论文
共 50 条
  • [21] High accurate analysis by experiment and simulation using Bayesian inference for corrugated cardboard
    Shimamura, Masahiko
    Ezawa, Yoshitaka
    Tamura, Yoshiaki
    Takashimizu, Satoru
    Satou, Daisuke
    MECHANICAL ENGINEERING JOURNAL, 2016, 3 (04):
  • [22] Bayesian inference with missing data using bound and collapse
    Sebastiani, P
    Ramoni, M
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2000, 9 (04) : 779 - 800
  • [23] Simulation-based Bayesian optimal design for multi-factor accelerated life tests
    Nasir, Ehab
    Pan, Rong
    COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 2017, 46 (02) : 980 - 993
  • [24] Using the BACC Software for Bayesian Inference
    William J. McCausland
    Computational Economics, 2004, 23 (3) : 201 - 218
  • [25] Inference for deterministic simulation models: The Bayesian melding approach
    Poole, D
    Raftery, AE
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2000, 95 (452) : 1244 - 1255
  • [26] Impact localization in anisotropic composite plates based on Bayesian inference
    Wang, Hongyuan
    Qiu, Jinhao
    Ji, Hongli
    INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2016, 52 (1-2) : 261 - 269
  • [27] Probabilistic estimation of variogram parameters of geotechnical properties with a trend based on Bayesian inference using Markov chain Monte Carlo simulation
    Xu, Jiabao
    Zhang, Lulu
    Li, Jinhui
    Cao, Zijun
    Yang, Haoqing
    Chen, Xiangyu
    GEORISK-ASSESSMENT AND MANAGEMENT OF RISK FOR ENGINEERED SYSTEMS AND GEOHAZARDS, 2021, 15 (02) : 83 - 97
  • [28] Bayesian survival analysis with BUGS
    Alvares, Danilo
    Lazaro, Elena
    Gomez-Rubio, Virgilio
    Armero, Carmen
    STATISTICS IN MEDICINE, 2021, 40 (12) : 2975 - 3020
  • [29] Decision making procedure based on Multiattribute Utility theory Using Bayesian inference
    Hayashida, Tomohiro
    Nishizaki, Ichiro
    Sekizaki, Shinya
    Ono, Masato
    2022 JOINT 12TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS AND 23RD INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS (SCIS&ISIS), 2022,
  • [30] TDR-based Pipe Leakage Detection and Location using Bayesian Inference
    Kim, Taejin
    Woo, Sihyeong
    Youn, Byeng D.
    Huh, Young Cheol
    2015 IEEE CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (PHM), 2015,
12345