Showing 1–20 of 21 results
/ Date/ Name
Aug 30, 2025SANVI: A Fast Spectral-Assisted Network Variational Inference Method with an Extended Surrogate Likelihood FunctionMar 7, 2021Euclidean Representation of Low-Rank Matrices and Its Statistical ApplicationsMar 30, 2022Eigenvector-Assisted Statistical Inference for Signal-Plus-Noise Matrix ModelsDec 9, 2025Uncertainty quantification for mixed membership in multilayer networks with degree heterogeneity using Gaussian variational inferenceJul 4, 2022Statistical inference of random graphs with a surrogate likelihood functionJan 26, 2024Higher-Order Entrywise Eigenvectors Analysis of Low-Rank Random Matrices: Bias Correction, Edgeworth Expansion, and BootstrapJun 17, 2021Entrywise limit theorems of eigenvectors for signal-plus-noise matrix models with weak signalsMar 3, 2018Bayesian Projected Calibration of Computer ModelsDec 15, 2017A Theoretical Framework for Bayesian Nonparametric RegressionApr 26, 2019Optimal Bayesian Estimation for Random Dot Product GraphsAug 22, 2018Bayesian Estimation of Sparse Spiked Covariance Matrices in High DimensionsOct 10, 2019Efficient Estimation for Random Dot Product Graphs via a One-step ProcedureOct 22, 2017Adaptive Bayesian nonparametric regression using kernel mixture of polynomials with application to partial linear modelJun 12, 2024Bias-Corrected Joint Spectral Embedding for Multilayer Networks with Invariant Subspace: Entrywise Eigenvector Perturbation and InferenceFeb 15, 2019BAREB: A Bayesian repulsive biclustering model for periodontal dataMar 27, 2017Bayesian Repulsive Gaussian Mixture ModelFeb 26, 2017BayCount: A Bayesian Decomposition Method for Inferring Tumor Heterogeneity using RNA-Seq CountsJul 10, 2018A theoretical framework of the scaled Gaussian stochastic process in prediction and calibrationJul 21, 2022Bayesian Sparse Gaussian Mixture Model in High DimensionsJan 5, 2022An approximate Bayes factor based high dimensional MANOVA using Random Projections