Procrustes meets theseus: maximum likelihood and Bayesian superpositions

被引：0
|
作者：
Theobald, D. L. [1 ]
机构：
[1] Brandeis Univ, Waltham, MA 02254 USA
来源：
FEBS JOURNAL | 2007年 / 274卷
关键词：
D O I：
暂无
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
引用
收藏
页码：257 / 257
页数：1
相关论文
共 50 条
  • [21] Bayesian and maximum likelihood analyses of rotifer-acanthocephalan relationships
    Mark Welch, D
    HYDROBIOLOGIA, 2005, 546 (1) : 47 - 54
  • [22] A modified randomized maximum likelihood for improved Bayesian history matching
    Stordal, Andreas S.
    Naevdal, Geir
    COMPUTATIONAL GEOSCIENCES, 2018, 22 (01) : 29 - 41
  • [23] Comparison of Bayesian and maximum likelihood bootstrap measures of phylogenetic reliability
    Douady, CJ
    Delsuc, F
    Boucher, Y
    Doolittle, WF
    Douzery, EJP
    MOLECULAR BIOLOGY AND EVOLUTION, 2003, 20 (02) : 248 - 254
  • [24] A modified randomized maximum likelihood for improved Bayesian history matching
    Andreas S. Stordal
    Geir Nævdal
    Computational Geosciences, 2018, 22 : 29 - 41
  • [25] Bayesian Properties of Normalized Maximum Likelihood and its Fast Computation
    Barron, Andrew
    Roos, Teemu
    Watanabe, Kazuho
    2014 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2014, : 1667 - 1671
  • [26] Bayesian and Maximum Likelihood Estimation for Gaussian Processes on an Incomplete Lattice
    Stroud, Jonathan R.
    Stein, Michael L.
    Lysen, Shaun
    JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS, 2017, 26 (01) : 108 - 120
  • [27] SIMULATION PROPERTIES OF THE BAYESIAN AND MAXIMUM-LIKELIHOOD ESTIMATORS OF AVAILABILITY
    KUO, W
    MICROELECTRONICS AND RELIABILITY, 1984, 24 (06): : 1057 - 1068
  • [28] LAMARC 2.0: maximum likelihood and Bayesian estimation of population parameters
    Kuhner, MK
    BIOINFORMATICS, 2006, 22 (06) : 768 - 770
  • [29] Maximum-likelihood ambiguity resolution based on Bayesian principle
    Zhu, J
    Ding, X
    Chen, Y
    JOURNAL OF GEODESY, 2001, 75 (04) : 175 - 187
  • [30] Maximum-likelihood ambiguity resolution based on Bayesian principle
    J. Zhu
    X. Ding
    Y. Chen
    Journal of Geodesy, 2001, 75 : 175 - 187
12345