Bayesian modeling of the structural connectome for studying Alzheimer's disease
From MaRDI portal
Publication:2281223
DOI10.1214/19-AOAS1257zbMath1433.62316arXiv1710.04560MaRDI QIDQ2281223
Kingshuk Roy Choudhury, Jeffrey Prescott, Arkaprava Roy, Subhashis Ghosal
Publication date: 19 December 2019
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1710.04560
Numerical computation using splines (65D07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Image analysis in multivariate analysis (62H35) Monte Carlo methods (65C05) Probabilistic graphical models (62H22)
Related Items (1)
Uses Software
Cites Work
- A nonparametric two-sample hypothesis testing problem for random graphs
- Limits of dense graph sequences
- Representations for partially exchangeable arrays of random variables
- Bayesian modeling of the structural connectome for studying Alzheimer's disease
- Adaptive Bayesian Procedures Using Random Series Priors
- On scale mixtures of normal distributions
- Bayesian Analysis of Binary and Polychotomous Response Data
- Fundamentals of Nonparametric Bayesian Inference
This page was built for publication: Bayesian modeling of the structural connectome for studying Alzheimer's disease
