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08/25/2023
Degrees of Freedom: Search Cost and Self-consistency
Model degrees of freedom () is a fundamental concept in statistics becau...
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03/28/2023
Explicit Planning Helps Language Models in Logical Reasoning
Language models have been shown to perform remarkably well on a wide ran...
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03/22/2023
Learning Brain Connectivity in Social Cognition with Dynamic Network Regression
Dynamic networks have been increasingly used to characterize brain conne...
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02/20/2023
Bayesian subtyping for multi-state brain functional connectome with application on adolescent brain cognition
Converging evidence indicates that the heterogeneity of cognitive profil...
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10/27/2022
Clustering High-dimensional Data via Feature Selection
High-dimensional clustering analysis is a challenging problem in statist...
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09/08/2022
Statistical Inference of Cell-type Proportions Estimated from Bulk Expression Data
There is a growing interest in cell-type-specific analysis from bulk sam...
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01/17/2021
Variance Estimation and Confidence Intervals from High-dimensional Genome-wide Association Studies Through Misspecified Mixed Model Analysis
We study variance estimation and associated confidence intervals for par...
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07/18/2020
A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis
Spectral clustering is one of the fundamental unsupervised learning meth...
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06/25/2020
BoXHED: Boosted eXact Hazard Estimator with Dynamic covariates
The proliferation of medical monitoring devices makes it possible to tra...
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05/24/2019
Inference of Dynamic Graph Changes for Functional Connectome
Dynamic functional connectivity is an effective measure to characterize ...
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12/03/2018
A Hidden Markov Model Based Unsupervised Algorithm for Sleep/Wake Identification Using Actigraphy
Study Objective: Actigraphy is widely used in sleep studies but lacks a ...
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03/16/2018
Phylogeny-based tumor subclone identification using a Bayesian feature allocation model
Tumor cells acquire different genetic alterations during the course of e...
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03/11/2018
A pathway-based kernel boosting method for sample classification using genomic data
The analysis of cancer genomic data has long suffered "the curse of dime...
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01/15/2014
Low-Rank Modeling and Its Applications in Image Analysis
Low-rank modeling generally refers to a class of methods that solve prob...
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07/31/2013