Approximate Bayesian Inference

被引:10
|
作者
Alquier, Pierre [1 ]
机构
[1] RIKEN, Ctr Adv Intelligence Project AIP, Tokyo 1030027, Japan
关键词
Bayesian statistics; machine learning; variational approximations; PAC-Bayes; expectation-propagation; Markov chain Monte Carlo; Langevin Monte Carlo; sequential Monte Carlo; Laplace approximations; approximate Bayesian computation; Gibbs posterior; VON-MISES THEOREM; CHAIN MONTE-CARLO; VARIATIONAL INFERENCE; COMPUTATION; MODELS; DISTRIBUTIONS; POSTERIOR; ENTROPY; STATE; MCMC;
D O I
10.3390/e22111272
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This is the Editorial article summarizing the scope of the Special Issue: Approximate Bayesian Inference.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Decentralized Approximate Bayesian Inference for Distributed Sensor Network
    Gholami, Behnam
    Yoon, Sejong
    Pavlovic, Vladimir
    THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2016, : 1582 - 1588
  • [42] Quantum approximate Bayesian computation for NMR model inference
    Dries Sels
    Hesam Dashti
    Samia Mora
    Olga Demler
    Eugene Demler
    Nature Machine Intelligence, 2020, 2 : 396 - 402
  • [44] Approximate Bayesian inference by adaptive quantization of the hypothesis space
    Johansson, M
    Bayesian Inference and Maximum Entropy Methods in Science and Engineering, 2005, 803 : 181 - 188
  • [45] Approximate Inference for Fully Bayesian Gaussian Process Regression
    Lalchand, Vidhi
    Rasmussen, Carl Edward
    SYMPOSIUM ON ADVANCES IN APPROXIMATE BAYESIAN INFERENCE, VOL 118, 2019, 118
  • [46] APPROXIMATE BAYESIAN-INFERENCE WITH THE WEIGHTED LIKELIHOOD BOOTSTRAP
    NEWTON, MA
    RAFTERY, AE
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1994, 56 (01) : 3 - 48
  • [47] Quantum approximate Bayesian computation for NMR model inference
    Sels, Dries
    Dashti, Hesam
    Mora, Samia
    Demler, Olga
    Demler, Eugene
    NATURE MACHINE INTELLIGENCE, 2020, 2 (07) : 396 - 402
  • [48] Approximate Bayesian inference in semi-mechanistic models
    Aderhold, Andrej
    Husmeier, Dirk
    Grzegorczyk, Marco
    STATISTICS AND COMPUTING, 2017, 27 (04) : 1003 - 1040
  • [49] AABC: Approximate approximate Bayesian computation for inference in population-genetic models
    Buzbas, Erkan O.
    Rosenberg, Noah A.
    THEORETICAL POPULATION BIOLOGY, 2015, 99 : 31 - 42
  • [50] Approximate Bayesian Inference for Piecewise-Linear Stiffness Systems
    Nayek, Rajdip
    Ben Abdessalem, Mohamed Anis
    Dervilis, Nikolaos
    Cross, Elizabeth J.
    Worden, Keith
    NONLINEAR STRUCTURES & SYSTEMS, VOL 1, 2023, : 165 - 175