Statistics Seminar: Adaptive Shared-Basis Learning for Subject-Specific Density Estimation
Caihong Qin will present a shared-basis neural-network approach to…
Sep 1, 2026
Honglang Wang is an researcher and teacher about data science, Statistics! He is an Associate Professor in the Department of Mathematical Sciences, School of Science, Indiana University Indianapolis.
Education
PhD in Statistics (2015): Department of Statistics and Probability, Michigan State University. Advisors: Yuehua Cui and Ping-Shou Zhong.
Dual PhD in Quantitative Biology (2015): Natural Science, Michigan State University. Advisors: C. Robin Buell and Yuehua Cui.
MS in Mathematics (2010): Center of Mathematical Sciences, Zhejiang University. Advisor: Kefeng Liu.
BS in Mathematics and Applied Mathematics (2007): Department of Mathematics, Tianjin University, Tian, China.
See my Curriculum Vitae for more information.
Research Interests
Statistical Analysis for Longitudinal and Functional Data
High Dimensional Statistical Inference and its Applications
Causal Inference
Machine Learning/Deep Learning
Nonparametric Statistics
Empirical Likelihood Methods and its Applications
Statistical Genetics and Statistical Genomics
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