STATISTICA SINICA

Sparse Bayesian Additive Nonparametric Regression with Application to Health Effects of Pesticides Mixtures

An Adaptive Test on High-dimensional Parameters in Generalized Linear Models

Spatial Joint Species Distribution Modeling using Dirichlet Processes.

Hierarchical Models for Spatial Data with Errors that are Correlated with the Latent Process

FMEM: Functional Mixed Effects Models for Longitudinal Functional Responses.

Entropy Learning for Dynamic Treatment Regimes.

Le Cam maximin tests for symmetry of circular data based on the characteristic function.

TENSOR GENERALIZED ESTIMATING EQUATIONS FOR LONGITUDINAL IMAGING ANALYSIS.

Optimal Paired Choice Block Designs

Statistical Inference for Structurally Changed Threshold Autoregressive Models

Efficient Estimation of Non-stationary Spatial Covariance Functions with Application to High-resolution Climate Model Emulation

The semi-parametric Bernstein-von Mises theorem for regression models with symmetric errors

Quadratic Discriminant Analysis for High-Dimensional Data

A test for equality of two distributions via integrating characteristic functions

INFERENCE FOR LOW-DIMENSIONAL COVARIATES IN A HIGH-DIMENSIONAL ACCELERATED FAILURE TIME MODEL.

On algorithmic and modeling approaches to imputation in large data sets

Bayesian Generalized Two-way ANOVA Modeling for Functional Data Using INLA

A MATRIX-FREE METHOD FOR SPATIAL-TEMPORAL GAUSSIAN STATE-SPACE MODELS

Nonlinear function on function additive model with multiple predictor curves

Empirical Likelihood Estimation Using Auxiliary Summary Information with Different Covariate Distributions

Smoothed Rank Regression for the Accelerated Failure Time Competing Risks Model with Missing Cause of Failure.

A Popularity Scaled Latent Space Model for Large-Scale Directed Social Network

Closed-population capture--recapture models with measurement error and missing observations in covariates

The Impact of Missing Values on Different Measures of Uncertainty

An assembly and decomposition approach for constructing separable minorizing functions in a class of MM algorithms

Imprinting and Maternal Effect Detection Using Partial Likelihood Based on Discordant Sibpair Data

Sufficient Dimension Reduction under Dimension-reduction-based Imputation with Predictors Missing at Random

Discrete longitudinal data modeling with a mean-correlation regression approach

High dimensional semiparametric estimate of latent covariance matrix for matrix-variate

Multiple Quantile Modelling via Reduced Rank Regression

Criteria for Multiple Surrogates

Large-Scale Simultaneous Testing of Cross-Covariance Matrices with Applications to PheWAS.

Nonlinear interaction detection through model-based sufficient dimension reduction

Maximum Partial-Rank Correlation Estimation for Left-Truncated and Right-Censored Survival Data

Pseudo value method for ultra high-dimensional semiparametric models with life-time data

ON ESTIMATION OF PARTIALLY LINEAR VARYING-COEFFICIENT TRANSFORMATION MODELS WITH CENSORED DATA

The bias mapping of the Yule-Walker estimator is a contraction

Testing homogeneity of high-dimensional covariance matrices

MM ALGORITHMS FOR VARIANCE COMPONENT ESTIMATION AND SELECTION IN LOGISTIC LINEAR MIXED MODEL.

SEMIPARAMETRIC TRANSFORMATION MODELS WITH MULTILEVEL RANDOM EFFECTS FOR CORRELATED DISEASE ONSET IN FAMILIES.

Functional Sliced Inverse Regression in a Reproducing Kernel Hilbert Space: a Theoretical Connection to Functional Linear Regression

Optimal Model Averaging Estimation for Partially Linear Models

Semiparametric Modeling with Nonseparable and Nonstationary Spatio-Temporal Covariance Functions and Its Inference

Asymptotics for Redescending M-estimators in Linear Models with Increasing Dimension

On profile MM algorithms for gamma frailty survival models

Nonparametric estimation of time-dependent quantiles in a simulation model

Semiparametric Estimation and Inference of Variance Function with Large Dimensional Covariates