Bayesian subset selection and variable importance for interpretable prediction and classification

被引:0
|
作者
Kowal, Daniel R. [1 ]
机构
[1] Department of Statistics, Rice University, Houston,TX,77005, United States
关键词
723.2 Data Processing and Image Processing - 921.4 Combinatorial Mathematics; Includes Graph Theory; Set Theory - 922.2 Mathematical Statistics;
D O I
暂无
中图分类号
学科分类号
摘要
48
引用
收藏
相关论文
共 50 条
  • [1] Bayesian subset selection and variable importance for interpretable prediction and classification
    Kowal, Daniel R.
    [J]. JOURNAL OF MACHINE LEARNING RESEARCH, 2022, 23
  • [2] Multivariate Bayesian variable selection and prediction
    Brown, PJ
    Vannucci, M
    Fearn, T
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1998, 60 : 627 - 641
  • [3] Multivariate Bayesian variable selection and prediction
    Brown, PJ
    Vannucci, M
    Fearn, T
    [J]. MINING AND MODELING MASSIVE DATA SETS IN SCIENCE, ENGINEERING, AND BUSINESS WITH A SUBTHEME IN ENVIRONMENTAL STATISTICS, 1997, 29 (01): : 271 - 271
  • [4] Scalable importance tempering and Bayesian variable selection
    Zanella, Giacomo
    Roberts, Gareth
    [J]. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2019, 81 (03) : 489 - 517
  • [5] An accurate and interpretable Bayesian classification model for prediction of HERG liability
    Sun, HM
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2005, 230 : U1408 - U1409
  • [6] An accurate and interpretable Bayesian classification model for prediction of hERG liability
    Sun, Hongmao
    [J]. CHEMMEDCHEM, 2006, 1 (03) : 315 - 322
  • [7] Partially Bayesian variable selection in classification trees
    Noe, Douglas A.
    He, Xuming
    [J]. STATISTICS AND ITS INTERFACE, 2008, 1 (01) : 155 - 167
  • [8] Bayesian Subset Selection for Two-Threshold Variable Autoregressive Models
    Ni, Shuxia
    Xia, Qiang
    Liu, Jinshan
    [J]. STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, 2018, 22 (04):
  • [9] Bayesian Rule Sets for Interpretable Classification
    Wang, Tong
    Rudin, Cynthia
    Velez-Doshi, Finale
    Liu, Yimin
    Klampfl, Erica
    MacNeille, Perry
    [J]. 2016 IEEE 16TH INTERNATIONAL CONFERENCE ON DATA MINING (ICDM), 2016, : 1269 - 1274
  • [10] PROTOTYPE SELECTION FOR INTERPRETABLE CLASSIFICATION
    Bien, Jacob
    Tibshirani, Robert
    [J]. ANNALS OF APPLIED STATISTICS, 2011, 5 (04): : 2403 - 2424