Some adaptive Monte Carlo methods for Bayesian inference

被引:0
|
作者
Tierney, L [1 ]
机构
[1] Univ Minnesota, Sch Stat, Minneapolis, MN 55455 USA
关键词
D O I
暂无
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
引用
收藏
页码:552 / 552
页数:1
相关论文
共 50 条
  • [31] ON THE CONVERGENCE OF ADAPTIVE SEQUENTIAL MONTE CARLO METHODS
    Beskos, Alexandros
    Jasra, Ajay
    Kantas, Nikolas
    Thiery, Alexandre
    ANNALS OF APPLIED PROBABILITY, 2016, 26 (02): : 1111 - 1146
  • [32] Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks
    Huang, Yanping
    Rao, Rajesh P. N.
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 27 (NIPS 2014), 2014, 27
  • [33] Limitations of Markov chain Monte Carlo algorithms for Bayesian inference of phylogeny
    Mossel, Elchanan
    Vigoda, Eric
    ANNALS OF APPLIED PROBABILITY, 2006, 16 (04): : 2215 - 2234
  • [34] Biological Network Inference With GRASP: A Bayesian Network Structure Learning Method Using Adaptive Sequential Monte Carlo
    Yu, Kaixian
    Cui, Zihan
    Sui, Xin
    Qiu, Xing
    Zhang, Jinfeng
    FRONTIERS IN GENETICS, 2021, 12
  • [35] Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference
    Li, Zhize
    Zhang, Tianyi
    Cheng, Shuyu
    Zhu, Jun
    Li, Jian
    MACHINE LEARNING, 2019, 108 (8-9) : 1701 - 1727
  • [36] Bayesian Phylogenetic Inference Using a Combinatorial Sequential Monte Carlo Method
    Wang, Liangliang
    Bouchard-Cote, Alexandre
    Doucet, Arnaud
    JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2015, 110 (512) : 1362 - 1374
  • [38] Bayesian Mechanistic Inference, Statistical Mechanics, and a New Era for Monte Carlo
    Zuckerman, Daniel M.
    George, August
    JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2024, 20 (08) : 2971 - 2984
  • [39] Following a moving target - Monte Carlo inference for dynamic Bayesian models
    Gilks, WR
    Berzuini, C
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2001, 63 : 127 - 146
  • [40] Stochastic gradient Hamiltonian Monte Carlo with variance reduction for Bayesian inference
    Zhize Li
    Tianyi Zhang
    Shuyu Cheng
    Jun Zhu
    Jian Li
    Machine Learning, 2019, 108 : 1701 - 1727