A FAST MODEL SELECTION PROCEDURE FOR LARGE FAMILIES OF MODELS

被引：28
|
作者：
EDWARDS, D
HAVRANEK, T
机构：
[1] UNIV COPENHAGEN, INST BIOSTAT, DK-1168 COPENHAGEN, DENMARK
[2] CZECHOSLOVAK ACAD SCI, CTR GEN COMP, CS-18207 PRAGUE, CZECHOSLOVAKIA
来源：
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 1987年 / 82卷 / 397期
关键词：
D O I：
10.2307/2289155
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
引用
收藏
页码：205 / 213
页数：9
相关论文
共 50 条
  • [1] A FAST PROCEDURE OF VARIABLE SELECTION IN LINEAR REGRESSION MODEL
    安柏庆
    [J]. Journal of Systems Science & Complexity, 1989, (03) : 266 - 274
  • [2] Fast Robust Model Selection in Large Datasets
    Dupuis, Debbie J.
    Victoria-Feser, Maria-Pia
    [J]. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2011, 106 (493) : 203 - 212
  • [3] Stratified exponential families: Graphical models and model selection
    Geiger, D
    Heckerman, D
    King, H
    Meek, C
    [J]. ANNALS OF STATISTICS, 2001, 29 (02): : 505 - 529
  • [4] Fast progressive training of mixture models for model selection
    Adhikari, Prem Raj
    Hollmen, Jaakko
    [J]. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, 2015, 44 (02) : 223 - 241
  • [5] Fast Model Selection and Hyperparameter Tuning for Generative Models
    Chen, Luming
    Ghosh, Sujit K.
    [J]. ENTROPY, 2024, 26 (02)
  • [6] Fast progressive training of mixture models for model selection
    Prem Raj Adhikari
    Jaakko Hollmén
    [J]. Journal of Intelligent Information Systems, 2015, 44 : 223 - 241
  • [7] Consistent Model Selection Procedure for Random Coefficient INAR Models
    Yu, Kaizhi
    Tao, Tielai
    [J]. ENTROPY, 2023, 25 (08)
  • [8] A new model selection procedure for finite mixture regression models
    Yu, Conglian
    Wang, Xiyang
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 2020, 49 (18) : 4347 - 4366
  • [9] Efficient estimation and model selection in large graphical models
    Wedelin, D
    [J]. STATISTICS AND COMPUTING, 1996, 6 (04) : 313 - 323
  • [10] Fast rates for ranking with large families
    Rejchel, Wojciech
    [J]. NEUROCOMPUTING, 2015, 168 : 1104 - 1110
12345