P. Song

发表

Modelling Heterogeneous Dispersion in Marginal Models for Longitudinal Proportional Data

Peter X.-K. Song, M. Tan, P. X. Song, 2004 .

A state-space model for multivariate longitudinal count data

B. Jørgensen, P. X. Song, S. Lundbye-Christensen, 1999 .

State space mixed models for longitudinal observations with binary and binomial responses

C. Czado, P. X. Song, P. Song, 2008 .

Multivariate online regression analysis with heterogeneous streaming data

Lan Luo, P. Song, 2021, Canadian Journal of Statistics.

Renewable estimation and incremental inference in generalized linear models with streaming data sets

Peter X.-K. Song, Lan Luo, P. X. Song, 2019, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Statistical analysis of repeated measurements with informative censoring times.

J Sun, P X Song, P. X. Song, 2001, Statistics in medicine.

EM algorithm in Gaussian copula with missing data

Peter X.-K. Song, Wei Ding, Wei Ding, 2016, Comput. Stat. Data Anal..

Joint composite estimating functions in spatiotemporal models

Peter X.-K. Song, P. X. Song, Yun Bai, 2012 .

Multivariate Dispersion Models Generated From Gaussian Copula

P. X. Song, P. Song, 2000 .

Efficient Estimation of the Partly Linear Additive Hazards Model with Current Status Data

P. X. Song, Xuewen Lu, P. Song, 2015 .

Joint Regression Analysis of Correlated Data Using Gaussian Copulas

Mingyao Li, Ying Yuan, P. X. Song, 2009, Biometrics.

fastMI: A fast and consistent copula-based nonparametric estimator of mutual information

S. Purkayastha, P. Song, 2022, Journal of Multivariate Analysis.

Real-Time Regression Analysis of Streaming Clustered Data With Possible Abnormal Data Batches

Peter X.-K. Song, Lan Luo, Ling Zhou, 2021, Journal of the American Statistical Association.

Subgroup-effects models for the analysis of personal treatment effects

P. X. Song, H. Fu, Shiquan Sun, 2022, The Annals of Applied Statistics.

Varying Index Coefficient Models

P. X. Song, Shujie Ma, P. Song, 2015 .

Distributed Empirical Likelihood Approach to Integrating Unbalanced Datasets

P. X. Song, Xichen She, Lingzhi Zhou, 2022, Statistica Sinica.

Time-Deformation Modeling of Stock Returns Directed by Duration Processes

T. Wirjanto, D. Feng, P. Song, 2015 .

Goodness-of-Fit Test in Multivariate Jump Diffusion Models

Qian M. Zhou, Dongming Zhu, P. X. Song, 2019 .

Collaborative causal inference with a distributed data-sharing management

P. X. Song, Xu Shi, Mengtong Hu, 2022, 2204.00857.

P. X. Song, P. Song, 2007 .

Longitudinal Data Analysis with Event Time as a Covariate

B. Nan, M. Sowers, P. X. Song, 2010 .

Doubly regularized estimation and selection in linear mixed-effects models for high-dimensional longitudinal data.

Ji Zhu, Sijian Wang, Naisyin Wang, 2018, Statistics and its interface.

Doubly Regularized REML for Estimation and Selection of Fixed and Random Effects in Linear Mixed-Effects Models

Ji Zhu, Sijian Wang, P. X. Song, 2010 .

fastMI : a fast and consistent copula-based estimator of mutual information

P. X. Song, S. Purkayastha, P. Song, 2022 .

Goodness-of-fit test for specification of semiparametric copula dependence models

Qian M. Zhou, P. X. Song, Shulin Zhang, 2016 .

Information ratio test for model misspecification on parametric structures in stochastic diffusion models

Daimin Shi, Qian M. Zhou, Peter X.-K. Song, 2012, Comput. Stat. Data Anal..

Information Ratio Test for Model Misspecification in Quasi-Likelihood Inference

Qian M. Zhou, Mary E. Thompson, Peter X.-K. Song, 2012 .

Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis*

Bingyuan Liu, Lingzhou Xue, Peter X.K. Song, 2021, Journal of the American Statistical Association.

BAYESIAN HIERARCHICAL MODELS FOR MULTI-LEVEL REPEATED ORDINAL DATA USING WinBUGS

Ming Tan, Zhenguo Qiu, Peter X K Song, 2002, Journal of biopharmaceutical statistics.

Assessing conditional independence for log-linear poisson models with random effects

Wenxin Jiang, P. Song, 2000 .

Vector Generalized Linear Models: A Gaussian Copula Approach

Mingyao Li, P. X. Song, Peng Zhang, 2013 .

Efficient pairwise composite likelihood estimation for spatial‐clustered data

Jian Kang, P. X. Song, Jian Kang, 2014, Biometrics.

Longitudinal data analysis using the conditional empirical likelihood method

Lu Wang, P. X. Song, Peisong Han, 2014 .

Stationary state space models for longitudinal data

P. X. Song, Bent Jøsrgensen, P. Song, 2007 .

State‐space models for multivariate longitudinal data of mixed types

B. Jørgensen, P. X. Song, S. Lundbye-Christensen, 1996 .

Quadratic inference function approach to merging longitudinal studies: validation and joint estimation

Fei Wang, Lu Wang, Peter X.-K. Song, 2012 .

Partially linear single-index proportional hazards model with current status data

Xuewen Lu, Peter X.-K. Song, Pooneh Pordeli, 2016, J. Multivar. Anal..

Tests for covariance structures with high-dimensional repeated measurements

Chih-Ling Tsai, Pingshou Zhong, P. X. Song, 2017 .

Generating dependent random numbers with given correlations and margins from exponential dispersion models

P. X. Song, P. Song, 1997 .

Efficient Estimation for Patient‐Specific Rates of Disease Progression Using Nonnormal Linear Mixed Models

Annie Qu, Tom Greene, A. Qu, 2008, Biometrics.