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04/27/2023
Diffusion MRI Prediction and Harmonization through Q-space Modeling
We propose a novel nonparametric model for diffusion MRI signal in q-spa...
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02/03/2023
Characterization and estimation of high dimensional sparse regression parameters under linear inequality constraints
Modern statistical problems often involve such linear inequality constra...
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07/18/2022
Spatial Autoregressive Model for von-Mises Fisher Distributed Principal Diffusion Directions
The principal diffusion directions are one of the most important statist...
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06/20/2022
Double soft-thresholded model for multi-group scalar on vector-valued image regression
In this paper, we develop a novel spatial variable selection method for ...
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02/01/2022
Spectral Clustering, Spanning Forest, and Bayesian Forest Process
Spectral clustering algorithms are very popular. Starting from a pairwis...
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10/11/2021
Nonparametric Group Variable Selectionwith Multivariate Response forConnectome-Based Prediction of Cognitive Scores
In this article, we study possible relations between the structural conn...
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07/14/2021
Bayesian Semiparametric Multivariate Density Deconvolution via Stochastic Rotation of Replicates
We consider the problem of multivariate density deconvolution where the ...
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04/21/2021
Optimal Bayesian Smoothing of Functional Observations over a Large Graph
In modern contexts, some types of data are observed in high-resolution, ...
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09/13/2020
Time-varying auto-regressive models for count time-series
Count-valued time series data are routinely collected in many applicatio...
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09/13/2020
Bayesian modelling of time-varying conditional heteroscedasticity
Conditional heteroscedastic (CH) models are routinely used to analyze fi...
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04/05/2020
Bayesian semiparametric time varying model for count data to study the spread of the COVID-19 cases
Recent outbreak of the novel corona virus COVID-19 has affected all of o...
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10/07/2019
Perturbed factor analysis: Improving generalizability across studies
Factor analysis is routinely used for dimensionality reduction. However,...
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04/27/2019
Bayesian time-aligned factor analysis of paired multivariate time series
Many modern data sets require inference methods that can estimate the sh...
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01/03/2019
Nonparametric graphical model for counts
Although multivariate count data are routinely collected in many applica...
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05/08/2018
Spatial shrinkage via the product independent Gaussian process prior
We study the problem of sparse signal detection on a spatial domain. We ...
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12/19/2017