A random projection method for large-scale community detection

2024-1-1

Default Bayesian testing for the zero-inflated Poisson distribution

2024-1-1

Multi-way overlapping clustering by Bayesian tensor decomposition

2024-1-1

A selective review on conditional density estimation

2024-1-1

Data integration of multiple genome-wide association studies under group homogeneous structure

2024-1-1

Associations between EEG-defined subgroups and antidepressant response: a joint mixture of probabilistic multilinear principal component analysis modeling approach

2024-1-1

A novel update and propagation-based dynamic graph neural network and its application to consumer finance data

2024-1-1

Towards better clinical prediction and interpretation via a new imputation strategy from National Health and Nutrition Examination Survey

2024-1-1

Robust subgroup analysis for network-linked data

2024-1-1

Variable selection and estimation for high-dimensional partially linear spatial autoregressive models with measurement errors

2024-1-1

Asymptotic properties of relative error estimation for accelerated failure time model with divergent number of parameters

2024-1-1

Sieve maximum likelihood estimation for generalized linear mixed models with an unknown link function

2024-1-1

Frequentist Bayesian compound inference

2024-1-1

Rank-R matrix autoregressive models for modeling spatio-temporal data

2024-1-1

Bayesian methods in tensor analysis

2024-1-1

Guiding light: An essay for Professor Lincheng Zhao on the occasion of his 80th birthday

2024-1-1

Welfare and fairness dynamics in federated learning: a client selection perspective

2024-1-1

Robust and powerful gene-environment interaction tests using rare genetic variants in case-control studies

2024-1-1

Model-based statistical depth for matrix data

2024-1-1

Simultaneous change-point detection and curve estimation

2024-1-1

Improved Naive Bayes with mislabeled data

2024-1-1

Scalable and globally convergent algorithm for sufficient dimension reduction

2024-1-1

Debiased distributed quantile regression in high dimensions

2024-1-1

The use of parental genotypes in Mendelian randomization

2024-1-1

An asymptotically normal representation for the minimal clinically important difference under a nonconvex surrogate loss

2024-1-1

Imaging mediation analysis for longitudinal outcomes: a case study of childhood brain tumor survivorship

2024-1-1

Semi-supervised learning in unbalanced networks with heterogeneous degree

2024-1-1

Abnormal sample detection based on robust Mahalanobis distance estimation in adversarial machine learning

2024-1-1

Flexible quasi-beta prime regression models for dependent continuous positive data

2024-1-1

Composite quantile regression based robust empirical likelihood for partially linear spatial autoregressive models

2024-1-1

Estimating extreme value index by subsampling for massive datasets with heavy-tailed distributions

2024-1-1

Empirical likelihood-based weighted estimation of average treatment effects in randomized clinical trials with missing outcomes

2024-1-1

Aligning sample size calculations with estimands in clinical trials with time-to-event outcomes

2024-1-1

A nonparametric concurrent regression model with multivariate functional inputs

2024-1-1

Learning conditional dependence graph for concepts via matrix normal graphical model

2024-1-1

Robust and covariance-assisted tensor response regression

2024-1-1

$L_1$-regularized functional support vector machine

2024-1-1

Estimation of partially linear varying coefficient spatial autoregressive models

2024-1-1

Spatially robust adaptive ensemble average propagator reconstruction via spherical polar Fourier imaging

2024-1-1

Scalable inference for individual treatment effect

2024-1-1

Joint model-based distance embedding of multi-track Hi-C data for chromosomal conformation learning

2024-1-1

An improved strategy for predicting Alzheimer's disease progression in patients with mild cognitive impairment by clustering hippocampal shape data

2024-1-1

Copy number variation detection based on constraint least squares

2024-1-1

Bayesian tensor-on-tensor regression with efficient computation

2024-1-1

Latent class proportional hazards regression with heterogeneous survival data

2024-1-1

A latent class selection model for categorical response variables with nonignorably missing data

2024-1-1

Modeling and identifiability of non-homogenous Poisson process cure rate model

2024-1-1

A consistent specification test for functional linear quantile regression models

2024-1-1

A review of nonparametric regression methods for longitudinal data

2024-1-1

Density-convoluted tensor support vector machines

2024-1-1