scientific article; zbMATH DE number 6860784
From MaRDI portal
Publication:4636988
zbMath1440.62253arXiv1509.06490MaRDI QIDQ4636988
Shaan Qamar, Rajarshi Guhaniyogi, David B. Dunson
Publication date: 17 April 2018
Full work available at URL: https://arxiv.org/abs/1509.06490
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
posterior consistencymagnetic resonance imaging (MRI)tensor regressionmultiway shrinkage priorParafac decomposition
Linear regression; mixed models (62J05) Applications of statistics to biology and medical sciences; meta analysis (62P10) Image analysis in multivariate analysis (62H35)
Related Items
An optimal statistical and computational framework for generalized tensor estimation, Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination, Convergence rate of Bayesian supervised tensor modeling with multiway shrinkage priors, Improved estimation in tensor regression with multiple change-points, Low-rank, Orthogonally Decomposable Tensor Regression With Application to Visual Stimulus Decoding of fMRI Data, Bayesian Regression Analysis of Skewed Tensor Responses, Bayesian analysis for matrix-variate logistic regression with/without response misclassification, Tensor Response Quantile Regression with Neuroimaging Data, Bayesian tensor response regression with an application to brain activation studies, Unnamed Item, Bayesian Dynamic Tensor Regression, Bayesian Markov-Switching Tensor Regression for Time-Varying Networks, Bayesian predictive modeling of multi-source multi-way data, Bayesian additive regression trees for genotype by environment interaction models, Cross: efficient low-rank tensor completion, Unnamed Item, Joint Bayesian estimation of voxel activation and inter-regional connectivity in fMRI experiments, Bayesian Regression With Undirected Network Predictors With an Application to Brain Connectome Data, ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching
Cites Work
- Tensor Decompositions and Applications
- Regularized 3D functional regression for brain image data via Haar wavelets
- Multilinear tensor regression for longitudinal relational data
- The statistical analysis of fMRI data
- The statistical analysis of functional MRI data
- Adaptive estimation of a quadratic functional by model selection.
- Adaptive Bayesian density estimation with location-scale mixtures
- Adaptive higher-order spectral estimators
- Posterior consistency in linear models under shrinkage priors
- Functional Generalized Linear Models with Images as Predictors
- Generalized double Pareto shrinkage
- Jump Surface Estimation, Edge Detection, and Image Restoration
- Tensor Regression with Applications in Neuroimaging Data Analysis
- Dirichlet–Laplace Priors for Optimal Shrinkage
- Bayesian Factorizations of Big Sparse Tensors
- Local Shrinkage Rules, Lévy Processes and Regularized Regression