user

Bayesian size-and-shape regression modelling

被引：0
|
作者：
Di Noia, Antonio [1 ,2 ]
Mastrantonio, Gianluca [3 ]
Lasinio, Giovanna Jona [4 ]
机构：
[1] Swiss Fed Inst Technol, Dept Math, Seminar Stat, Ramistr 101, CH-8092 Zurich, Switzerland
[2] Univ Svizzera Italiana, Fac Econ, Via Giuseppe Buffi 13, CH-6900 Lugano, Switzerland
[3] Politecn Torino, Dept Math Sci, Corso Duca Abruzzi 24, I-10129 Turin, Italy
[4] Sapienza Univ, Dept Stat Sci, Ple Aldo Moro 5, I-00185 Rome, Italy
来源：
STATISTICS & PROBABILITY LETTERS | 2024年 / 204卷
关键词：
Bayesian models; Size-and-shape; Latent variables; Statistics on manifolds;
D O I：
10.1016/j.spl.2023.109928
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：
Building on Dryden et al. (2021), this note presents the Bayesian estimation of a regression model for size-and-shape response variables with Gaussian landmarks. Our proposal fits into the framework of Bayesian latent variable models and, potentially, allows for a highly flexible modelling framework.& COPY; 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数：4
相关论文
共 50 条
  • [21] Bayesian hierarchical modelling of size spectra
    Wesner, Jeff S.
    Pomeranz, Justin P. F.
    Junker, James R.
    Gjoni, Vojsava
    METHODS IN ECOLOGY AND EVOLUTION, 2024, 15 (05): : 856 - 867
  • [22] Predicting implant size in total knee arthroplasty using demographic variables LINEAR REGRESSION AND BAYESIAN MODELLING
    Blevins, J. L.
    Rao, V
    Chiu, V
    Man, S.
    Westrich, G. H.
    BONE & JOINT JOURNAL, 2020, 102B (06): : 85 - 90
  • [23] Bayesian Regression Analysis for Dependent Data with an Elliptical Shape
    Yu, Yian
    Tang, Long
    Ren, Kang
    Chen, Zhonglue
    Chen, Shengdi
    Shi, Jianqing
    ENTROPY, 2024, 26 (12)
  • [24] Regression modelling with the tilted beta distribution: A Bayesian approach
    Hahn, Eugene D.
    CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 2021, 49 (02): : 262 - 282
  • [25] BAYESIAN NONPARAMETRIC MODELLING WITH THE DIRICHLET PROCESS REGRESSION SMOOTHER
    Griffin, J. E.
    Steel, M. F. J.
    STATISTICA SINICA, 2010, 20 (04) : 1507 - 1527
  • [26] Bayesian modelling for binary outcomes in the regression discontinuity design
    Geneletti, Sara
    Ricciardi, Federico
    O'Keeffe, Aidan G.
    Baio, Gianluca
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY, 2019, 182 (03) : 983 - 1002
  • [27] Nonparametric Bayesian Regression Under Combinations of Local Shape Constraints
    Khadraoui, Khader
    INTERDISCIPLINARY BAYESIAN STATISTICS, EBEB 2014, 2015, 118 : 135 - 147
  • [28] Bayesian modelling of nonlinear Poisson regression with artificial neural networks
    Rodrigo, Hansapani
    Tsokos, Chris
    JOURNAL OF APPLIED STATISTICS, 2020, 47 (05) : 757 - 774
  • [29] Modelling chronic malnutrition in Zambia: A Bayesian distributional regression approach
    Moonga, Given
    Bose-O'Reilly, Stephan
    Berger, Ursula
    Harttgen, Kenneth
    Michelo, Charles
    Nowak, Dennis
    Siebert, Uwe
    Yabe, John
    Seiler, Johannes
    PLOS ONE, 2021, 16 (08):
  • [30] Modelling monotonic effects of ordinal predictors in Bayesian regression models
    Burkner, Paul-Christian
    Charpentier, Emmanuel
    BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY, 2020, 73 (03): : 420 - 451
12345