Invited talks
EcoSta 2023, July 2024
Inference for Quantile Mediation Effects in the Presence of Complex Confounding via Deep Neural Networks
Statistics and Data Science Seminar, DMS, Auburn University, Apr 2024
Inference on High-dimensional Mediation Analysis with Convoluted Confounding via Deep Neural Networks
Department of Mathematics and Statistics, Texas Tech University, Dec 2023
Subgroups and Multiple Changepoints Detection of Natural Disease History for Huntington’s Disease
JSM 2023, Aug 2023
High-dimensional Mediation Analysis via Deep Neural Networks
EcoSta 2023, Aug 2023
Quantile mediation analysis with convoluted confounding effects via deep neural networks
the 64th ISI World Statistics Congress, July 2023
High-dimensional Mediation Analysis via Deep Neural Networks
ICSA 2023 Applied Statistics Symposium, June 2023
Multiclass Classification for Multidimensional Functional Data through Deep Neural Networks
the 36th New England Statistics Symposium, June 2023
Multiclass Classification for Multidimensional Functional Data through Deep Neural Networks
Department of Mathematics and Statistics, Texas Tech University, Apr 2023
High-dimensional Quantile Mediation Analysis via Deep Neural Networks
Department of Mathematics and Statistics, Auburn University, Oct 2021
Optimal Classification for Functional Data
ICSA 2021 Applied Statistics Symposium, Sept 2021
Optimal Classification for Functional Data
Department of Mathematical Sciences, Indiana University -Purdue University Indianapolis, Sept 2021
Functional Data Regression via Deep neural networks
Statistics and Data Science Seminar, DMS, Auburn University, Feb 2021
Estimation of the Mean Function of Functional Data via Deep Neural Networks
Department of Mathematics and Statistics, Auburn University, Feb 2021
Estimation of the Mean Function of Functional Data via Deep Neural Networks
ICSA 2020 Applied Statistics Symposium, Dec 2020
Empirical Likelihood Ratio Tests for Varying Coefficient Geo Models