SANVI: A Fast Spectral-Assisted Network Variational Inference Method with an Extended Surrogate Likelihood Function

A Bayes factor function for high dimensional MANOVA using random projections

Statistical inference of random graphs with a surrogate likelihood function

Higher-Order Entrywise Eigenvectors Analysis of Low-Rank Random Matrices: Bias Correction, Edgeworth Expansion, and Bootstrap

Bayesian Sparse Gaussian Mixture Model in High Dimensions

Bias-Corrected Joint Spectral Embedding for Multilayer Networks with Invariant Subspace: Entrywise Eigenvector Perturbation and Inference

Spectral Norm Posterior Contraction in Bayesian Sparse Spiked Covariance Matrix Model

An Eigenvector-Assisted Estimation Framework for Signal-Plus-Noise Matrix Models

Entrywise limit theorems for eigenvectors of signal-plus-noise matrix models with weak signals

Euclidean Representation of Low-Rank Matrices and Its Geometric Properties

Efficient Estimation for Random Dot Product Graphs via a One-step Procedure

A Theoretical Framework of the Scaled Gaussian Stochastic Process in Prediction and Calibration

Simultaneous Learning the Dimension and Parameter of a Statistical Model with Big Data

Bayesian Sparse Spiked Covariance Model with a Continuous Matrix Shrinkage Prior

Bayesian Projected Calibration of Computer Models

BAREB: A Bayesian repulsive biclustering model for periodontal data

Optimal Bayesian Estimation for Random Dot Product Graphs

Bayesian Repulsive Gaussian Mixture Model

Adaptive Bayesian Nonparametric Regression using Kernel Mixture of Polynomials with Application to Partial Linear Model

Rates of Contraction with respect to L2-distance for Bayesian Nonparametric Regression

BayCount: A Bayesian Decomposition Method for Inferring Tumor Heterogeneity using RNA-Seq Counts