Positions

Research Areas research areas

Selected Publications

Academic Article

Year Title
2024 Multimodal functional deep learning for multiomics data..  Briefings in Bioinformatics.  25:bbae448. 2024
2024 Parameter estimation for Logistic errors-in-variables regression under case–control studies.  Statistical Methods and Applications.  33:661-684. 2024
2024 Functional Neural Networks for High-Dimensional Genetic Data Analysis..  IEEE/ACM Transactions on Computational Biology and Bioinformatics.  21:383-393. 2024
2022 Estimation of functional-coefficient autoregressive models with measurement error.  Journal of Multivariate Analysis.  192:105077-105077. 2022
2022 Weighted empirical minimum distance estimators in linear errors-in-variables regression models.  Journal of Statistical Planning and Inference.  219:147-174. 2022
2019 Minimum distance model checking in Berkson measurement error models with validation data.  Test.  28:879-899. 2019
2019 An integrative U method for joint analysis of multi-level omic data..  BMC Genetics.  20:40. 2019
2017 Model checking in Tobit regression with measurement errors using validation data.  Journal of Statistical Planning and Inference.  190:15-31. 2017
2016 Parameter estimation for the logistic regression model under case-control study.  Statistics and Probability Letters.  109:168-177. 2016

Chapter

Year Title
2020 Weighted Empirical Minimum Distance Estimators in Berkson Measurement Error Regression Models.  Springer Proceedings in Mathematics and Statistics. 31-71. 2020

Principal Investigator On

Teaching Activities

Education And Training

  • Ph.D. Statistics, Michigan State University

    • Full Name

  • Pei Geng