nonparametric statistics

Bayesian Regression Trees, Nonparametric Heteroscedastic Regression Modeling and MCMC Sampling

Matthew Pratola, Assistant Professor of Statistics, The Ohio State University

Nov 24, 15:00 - 16:00

B1 L2

nonparametric statistics Bayesian Statistics

In this talk, we introduce a new Bayesian regression tree model that allows for possible heteroscedasticity in the variance model and devise novel MCMC samplers that appear to adequately explore the posterior tree space of this model.

Ziling Ma

Ph.D. Student, Statistics

Time Series Analysis robust statistics nonparametric statistics

Ziling is a doctoral student in Statistics at King Abdullah University of Science and Technology (KAUST), where she is conducting her research under the mentorship of Professor Hernando Ombao in the Biostatistics research group and Professor Ying Sun in the Environmental Statistics research group. Education and Initial Professional Experience Ziling Ma earned her Bachelor's degree in Mathematics and Applied Mathematics from Tianjin Normal University in China. She then furthered her education at KU Leuven in Belgium, where she was awarded a Master's degree in Mathematics. Ziling embarked on her