Statistics and Its Interface

ISSN Print 1938-7989  ISSN Online 1938-7997

4 issues per year


Ming-Hui Chen (University of Connecticut)

Yuedong Wang (University of California at Santa Barbara)

HomeEditorsSubmissionsAcceptedRead Online

Closed Issues Awaiting Publication

Currently, there are no closed issues awaiting publication.

Accepted Papers Currently Awaiting Publication

For IssueSeq.TitleAuthor(s)Date of Acceptance
--Threshold Time Series Model in Finance: A Review

Cathy WS Chen

Mike KP So

Feng Chi Liu

2010 Dec 4
--A new unconditional test based on Bayesian estimation for testing non-inferiority in matched-pairs design

Weiquan Chen

Hua Jin

2011 Apr 4
--Improving the estimation of HIV treatment-efficacy by combining structural nested mean models with pharmacokinetic models of antiretroviral drug exposure

Laetitia Comté

Stijn Vansteelandt

Richard Rode

Bernard Vrijens

2011 Jul 20
--Quantifying LC-MS/MS data by ion abundance and spectral: two case studies

Thomas I. Milac

Timothy W. Randolph

Pei Wang

2011 Nov 16
--On the false discovery rate control in proteomic analysis of post-translational modifications

Yan Fu

2011 Nov 28
--Designing Time-To-Event Multi-Arm Clinical Trials using Weibull Models

Oleksandr Sverdlov

Yevgen Ryeznik

weng kee wong

2012 Jan 19
--Statistical Inference for Cultural Transmission in Twin and Family Studies

Xiaobo Guo

Tian Ji

Xueqin Wang

Heping Zhang

Shouqiang Zhong

2012 May 2
--A Novel Semi-Parametric Approach for Imputing Mixed Data

Irene B Helenowski

Hakan Demirtas

2013 Jun 19
--KPSS test for functional time series

Piotr Kokoszka

Gabriel Young

2015 Sep 3
--Efficient estimation and variable selection in generalized partially nonlinear models with nonignorable missing responses

Niansheng Tang

Lin Tang

2017 Feb 8
--An $L_2$-norm based ANOVA test for the equality of weakly dependent functional time series

Jia Guo

Ying Chen

2018 Aug 27
--Analyzing Beijing Point of Interest Data Using Group Linked Cox Process

Yu Chen

Rui Pan

Rong Guan

Hansheng Wang

2018 Dec 19
--Estimating Extreme Value Index by Subsampling for Massive Datasets with Heavy-Tailed Distributions

Liujun Chen

Deyuan Li

Yongxin Li

Hansheng Wang

2022 Jul 16
--Default Bayesian Testing for the Zero-inflated Poisson Distribution

Yewon Han

Haewon Hwang

Seong Kim

Hon Keung Ng

2022 Jul 25
--Community Detection in Temporal Citation Network via a Tensor-based Approach

Tianchen Gao

Rui Pan

Hansheng Wang

Junfei Zhang

2022 Aug 5
--A Random Projection Method for Large-Scale Community Detection

Haobo Qi

Hansheng Wang

Xuening Zhu

2022 Aug 5
--A latent class selection model for categorical response variables with nonignorably missing data

Jung Lee

Ofer Harel

2022 Aug 17
--A consistent specification test for functional linear quantile regression models

Gongming Shi

Lili Xia

Zhongzhan Zhang

2022 Aug 21
--A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian Data

Faming Liang

2022 Sep 2
--Improved Naive Bayes with Mislabeled Data

Shuning Sun

Feifei Wang

Hansheng Wang

Qianhan Zeng

Weichen Zhao

Xuening Zhu

Yingqiu Zhu

2022 Sep 2
--Variable Selection and Estimation for High-Dimensional Partially Linear Spatial Autoregressive Models with Measurement Errors

Zhensheng Huang

Shuyu Meng

Linlin Zhang

2022 Sep 3
--Debiased distributed quantile regression in high dimensions

Canyi Chen

Yiran He

Wangli Xu

2022 Sep 12
--Portmanteau test for ARMA-GARCH models with possible infinite variance innovations by weighted Empirical likelihood method

Donghui Fang

Catherine Liu

Xiaohui Liu

Xu Zhang

2022 Sep 17
--Flexible quasi-beta prime regression models for dependent continuous positive data

Caio Azevedo

João Freitas

Juvêncio Nobre

2022 Oct 2
--Modeling and identifiability of non-homogenous Poisson process cure rate model

Anup Dewanji

Asha Gopalakrishnan

Soorya Surendren

2022 Nov 4
--Composite Quantile Regression based Robust Empirical Likelihood for Partially Linear Spatial Autoregressive Models

Suli Cheng

Peixin Zhao

Xiaoshuang Zhou

2022 Nov 13
--A Robust Two-Stage Sequential Design for Estimating the Effective Range Based on Binary Responses

Yuxia Liu

Yubin Tian

Dianpeng Wang

2022 Nov 17
--Nonparametric kernel estimation for local tail-event correlation

Ji Eun Choi

Dong Wan Shin

2022 Nov 18
--Order determination via sample splitting

Xu Guo

Hongwei Shi

Wenjun Xia

Changliang Zou

2022 Nov 19
--Regression analysis of semi-parametric transformation models based on multivariate general interval-censored data from case-cohort studies

Yichen Lou

Jianguo Sun

Peijie Wang

2022 Nov 23
--Regularized maximum likelihood for directed networks

Mengya Liu

Lu Pan

2022 Dec 3
--Correlated Wishart Matrices Classification via an Expectation-Maximization Composite Likelihood-Based Algorithm

Zhou Lan

2022 Dec 5
--Robust Statistical Methods for Exclusive Hypothesis Test

Meng Li

jianguo Sun

Xingwei Tong

2022 Dec 20
--Guiding Light: An Essay for Professor Lincheng Zhao on the Occasion of his 80th Birthday

Zhidong Bai

2022 Dec 21
--$L_1$-regularized Functional Support Vector Machine

Bingfan Liu

Peijun Sang

2022 Dec 26
--Robust Subgroup Analysis for Network-Linked Data

Kyongson Jon

Yu Xing

Wensheng Zhu

2023 Jan 4
--Estimation of partially linear varying coefficient spatial autoregressive models

Jiang Du

2023 Jan 11
--Variable Selection for Doubly Robust Causal Inference

Eunah Cho

Shu Yang

2023 Jan 16
--How to schedule the upcoming exam using low-dose CT in lung cancer?

Dongfeng Wu

2023 Jan 16
--Modelling Uncertainty of Responses in Factor Models for Multivariate Ordinal Data

Weiping Zhang

Zhi Zheng

2023 Jan 21
--Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective

Xuan Bi

Le Peng

Ju Sun

Yash Travadi

Mochen Yang

2023 Jan 28
--Associations Between EEG-Defined Subgroups and Antidepressant Response: A Joint Mixture of Probabilistic Multilinear Principle Component Analysis Modeling Approach

Bei Jiang

2023 Jan 28
--Scalable inference for individual treatment effect

Xiaodong Yan

2023 Jan 29
--A nonparametric concurrent regression model with multivariate functional inputs

Yuedong Wang

Zhanfeng Wang

Yutong Zhai

2023 Feb 4
--Towards better clinical prediction and interpretation via a new imputation strategy from National Health and Nutrition Examination Survey

Zhe Gao

YinYing Kong

Ting Tian

Xueqin Wang

Wangwei Wu

Yanfang Xu

2023 Feb 9
--Learning conditional dependence graph for concepts via matrix normal graphical model

Jizheng Lai

Jianxin Yin

2023 Feb 13
--Latent Class Proportional Hazards Regression with Heterogeneous Survival Data

Teng Fei

John Hanfelt

Limin Peng

2023 Feb 14
--Bayesian Tensor-on-Tensor Regression with Efficient Computation

Kunbo Wang

Yanxun Xu

2023 Feb 15
--Testing for a change in the failure time distribution using combined data from an incident and a prevalent cohort

Vittorio Addona

James McVittie

David Stephens

David Wolfson

2023 Feb 21
--A Novelty Update and Propagation-based Dynamic Graph Neural Networks and Its Application to Consumer Finance Data

Shujun Guo

Xin Liu

Shaoli Wang

Zhen Zhang

2023 Mar 1
--Spectral feature selection with the Graphical Lasso estimator for ultra-high dimensional Gaussian graphical models

Rui Chen

Erbo Li

Yushan Xue

Yuehan Yang

2023 Mar 1
--Multi-Way Overlapping Clustering by Bayesian Tensor Decomposition

Kejun He

Yang Ni

Zhuofan Wang

Fangting Zhou

2023 Mar 9
--Spatially Robust Adaptive Ensemble Average Propagator Reconstruction via Spherical Polar Fourier Imaging

Jian Cheng

Joseph Ibrahim

Shangbang Rao

Xifeng Wang

Ye Wu

Pew-Thian Yap

Hongtu Zhu

2023 Mar 15
--Minimum Matusita distance estimation method of the parameters of the strict-sense stationary univariate generalized autoregressive conditional heteroscedasticity model of order r,s

Sajjad Piradl

2023 Mar 18
--A Simultaneous Testing of Independence and Goodness-of-fit in Nonlinear Regression Models

Nan Tang

Kai Xu

2023 Mar 22
--Stochastic Generalized Functional Linear Models for Gene-based Association Analysis of Binary Traits in Longitudinal Studies

Ruzong Fan

2023 Mar 30
--The Use of Parental Genotypes in Mendelian Randomization

Rui Feng

2023 Apr 1
--Density-Convoluted Tensor Support Vector Machines

Qing Mai

Boxiang Wang

Jian Yang

Le Zhou

2023 Apr 4
--Frequentist Bayesian Compound Inference

Jinfeng Xu

Ao Yuan

2023 Apr 10
--Scalable and Globally Convergent Algorithm for Sufficient Dimension Reduction

Canyi Chen

2023 May 3
--A Comparative Study of Sequential Detection Procedures for Transient Signals in High Dimensional Data Stream

David Siegmund

yanhong wu

2023 May 15
--Robust and powerful gene-environment interaction tests using rare genetic variants in case-control studies

Hong Zhang

2023 May 19
--A review of nonparametric regression methods for longitudinal data

Changxin Yang

Zhongyi Zhu

2023 May 25
--Semiparametric Imputation-based Inference for the Additive Mean Residual Life Model with Missing Censoring Indicators

Baolin Chen

Gregg E. Dinse

Yong Zhou

2023 Jun 2
--Bayesian Methods in Tensor Analysis

Weining Shen

Yiyao Shi

2023 Jun 2
--Aligning sample size calculations with estimands in clinical trials with time-to-event outcomes

Yixin Fang

Man Jin

Chengqing Wu

2023 Jun 5
--Bayesian analysis of multivariate binary longitudinal data: Metabolic Syndrome during the menopausal transition

Samar Ek Khoudary

Ellen Gold

Imke Janssen

Wesley Johnson

Geoff Jones

2023 Jun 30
--Simultaneous Change-point Detection and Curve Estimation

Ning Hao

Zhaoying Lu

Hao Zhang

2023 Jul 16
--Detecting changes in linear trend and variance based on isolate-detect

Yao Hu

Siyu Li

Jimei Wang

2023 Jul 26
--Semi-supervised Learning in Unbalanced Networks with Heterogeneous Degree

Bing-Yi Jing

Li Ting

Ningchen Ying

Xianshi Yu

2023 Jul 27
--Data Integration of Multiple Genome-Wide Association Studies Under Group Homogeneous Structure

Yuan Jiang

Kai Li

Chi Song

2023 Aug 1
--An Improved Spectral Clustering Method for Large-Scale Sparse Networks

Jiayi Deng

Yi Ding

Bo Zhang

2023 Aug 10
--Rank-R Matrix Autoregressive Models for Modeling Spatio-Temporal Data

Nan-Jung Hsu

Hsin-Cheng Huang

Tzu-Chieh Kao

Ruey S. Tsay

2023 Aug 12
--Sieve Maximum Likelihood Estimation for Generalized Linear Mixed Models with an Unknown Link Function

Guoqing Diao

Mengdie Yuan

2023 Aug 12
--Copy Number Variation Detection based on Constraint Least Squares

Xiaopu Wang

Xueqin Wang

Canhong Wen

Aijun Zhang

2023 Aug 14
--Asymptotic Properties of Relative Error Estimation for Accelerated Failure Time Model with Divergent Number of Parameters

Ying Yang

Fei Ye

Hongyi Zhou

2023 Aug 15
--Imaging mediation analysis for longitudinal outcomes: a case study of childhood brain tumor survivorship

Heather Conklin

Amar Gajjar

Cai Li

Yimei Li

Arzu Onar-Thomas

Wilburn Reddick

Xiaoqing Wang

Chen Zhou

2023 Aug 15

Sameh Kessentini

Fatma Ktari

Raoudha Zine

2023 Aug 24
--Abnormal sample detection based on robust Mahalanobis distance estimation in adversarial machine learning

Hengjian Cui

Wan Tian

Lingyue Zhang

2023 Aug 24
--Varying-coefficients additive hazards regression with current status data and time-dependent treatment

Yanqin Feng

Shuang Ma

Xiuqing Zhou

2023 Aug 25
--Composition Estimation via Shrinkage

Chong Gu

2023 Aug 25
--A Selective Reivew on Conditional Density Estimation

Trinetri Ghosh

Menggang Yu

Jiwei Zhao

2023 Sep 3
--An improved strategy for predicting Alzheimer's disease progression in patients with mild cognitive impairment by clustering hippocampal shape data

Zhe Gao

Tingyin Wang

Xueqin Wang

2023 Sep 4