Bayesian statisticsThe theory of inverse probability

被引：0
|
作者：
Mohan Delampady
T. Krishnan
机构：
[1] Indian Statistical Institute,
[2] Systat Software Asia-Pacific(P) Ltd.,undefined
来源：
Resonance | 2002年 / 7卷 / 4期
关键词：
Statistical inference; inductive inference; probability model; likelihood function; prior probability; posterior probability; estimation; estimation error; maximum likelihood estimate; maximum a posteriori estimate; penalized likelihood; statistical computing; Bayes theorem; confidence interval;
D O I：
10.1007/BF02836136
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：27 / 38
页数：11
相关论文
共 50 条
  • [41] Inverse probability.
    Isserlis, L
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY, 1936, 99 : 130 - 137
  • [42] VAGUENESS AND BAYESIAN PROBABILITY
    WILSON, N
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1994, 2 (01) : 34 - 36
  • [43] FISHER AND INVERSE PROBABILITY
    JEFFREYS, H
    INTERNATIONAL STATISTICAL REVIEW, 1974, 42 (01) : 1 - 3
  • [44] Inverse or "a posteriori" Probability
    Wilson, JC
    NATURE, 1901, 63 : 154 - 156
  • [45] The Research on Image Segmentation Based on the Minimum Error Probability Bayesian Decision Theory
    Chen, Zhiyuan
    Luo, Gang
    Fei, Zhigen
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 1151 - +
  • [46] Bayesian probability updates using sampling/importance resampling: Applications in nuclear theory
    Jiang, Weiguang
    Forssen, Christian
    FRONTIERS IN PHYSICS, 2022, 10
  • [47] Asymptotic Theory for Longitudinal Data with Missing Responses Adjusted by Inverse Probability Weights
    Balan, R. M.
    Jankovic, D.
    MATHEMATICAL METHODS OF STATISTICS, 2019, 28 (02) : 83 - 103
  • [48] High-resolution elastic recoil detection utilizing Bayesian probability theory
    Neumaier, P
    Dollinger, G
    Bergmaier, A
    Genchev, I
    Görgens, L
    Fischer, R
    Ronning, C
    Hofsäss, H
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS, 2001, 183 (1-2): : 48 - 61
  • [49] Renal DCE-MRI Model Selection Using Bayesian Probability Theory
    Beeman, Scott C.
    Osei-Owusu, Patrick
    Duan, Chong
    Engelbach, John
    Bretthorst, G. Larry
    Ackerman, Joseph J. H.
    Blumer, Kendall J.
    Garbow, Joel R.
    TOMOGRAPHY, 2015, 1 (01) : 61 - 68
  • [50] Characterization of the fast wave in cancellous bone using the Bayesian probability theory approach
    Matsukawa, Mami
    Mizuno, Katsunori
    Hoffman, Joseph J.
    Nelson, Amber M.
    Holland, Mark R.
    Nagatani, Yoshiki
    Miller, James G.
    2011 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2011, : 1606 - 1609
12345