Bayesian partition modelling

被引：28
|
作者：
Denison, DGT [1 ]
Adams, NM [1 ]
Holmes, CC [1 ]
Hand, DJ [1 ]
机构：
[1] Univ London Imperial Coll Sci Technol & Med, London SW7 2BU, England
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2002年 / 38卷 / 04期
关键词：
Bayesian model averaging; classification; Markov chain Monte Carlo; partitioning;
D O I：
10.1016/S0167-9473(01)00073-1
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper reviews recent ideas in Bayesian classification modelling via partitioning. These methods provide predictive estimates for class assignments using averages of a sample of models generated from the posterior distribution of the model parameters. We discuss modifications to the basic approach more suitable for problems when there are many predictor variables and/or a large training smple. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码：475 / 485
页数：11
相关论文
共 50 条
  • [41] Information optimality and Bayesian modelling
    Clarke, Bertrand
    [J]. JOURNAL OF ECONOMETRICS, 2007, 138 (02) : 405 - 429
  • [42] DYNAMIC NETWORK PARTITION VIA BAYESIAN CONNECTIVITY BI-PARTITION CHANGE POINT MODEL
    Lian, Zhichao
    Li, Xiang
    Young, Thomas
    Hao, Yun
    Xing, Jianchuan
    Lv, Jinglei
    Jiang, Xi
    Zhu, Dajiang
    Liu, Tianming
    Zhang, Jing
    [J]. 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014, : 545 - 548
  • [43] Advances in Bayesian network modelling: Integration of modelling technologies
    Marcot, Bruce G.
    Penman, Trent D.
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2019, 111 : 386 - 393
  • [44] Modelling gradient elution in centrifugal partition chromatography
    vanBuel, MJ
    vanderWielen, LAM
    Luyben, KCAM
    [J]. JOURNAL OF CHROMATOGRAPHY A, 1997, 773 (1-2) : 13 - 22
  • [45] Modelling transport mechanism through a porous partition
    Khayet, M
    Godino, MP
    Mengual, JI
    [J]. JOURNAL OF NON-EQUILIBRIUM THERMODYNAMICS, 2001, 26 (01) : 1 - 14
  • [46] Statistical modelling using product partition models
    Jordan, Claire
    Livingstone, Vicki
    Barry, Daniel
    [J]. STATISTICAL MODELLING, 2007, 7 (03) : 275 - 295
  • [47] Random Partition Models and Exchangeability for Bayesian Identification of Population Structure
    Jukka Corander
    Mats Gyllenberg
    Timo Koski
    [J]. Bulletin of Mathematical Biology, 2007, 69 : 797 - 815
  • [48] Bayesian Partition Models for Identifying Expression Quantitative Trait Loci
    Jiang, Bo
    Liu, Jun S.
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2015, 110 (512) : 1350 - 1361
  • [49] Bayesian Testing for Exogenous Partition Structures in Stochastic Block Models
    Legramanti, Sirio
    Rigon, Tommaso
    Durante, Daniele
    [J]. SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY, 2022, 84 (01): : 108 - 126
  • [50] Learning Big Gaussian Bayesian Networks: Partition, Estimation and Fusion
    Gu, Jiaying
    Zhou, Qing
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2020, 21
12345