Refereed

CS029 Theory and Methods for Markov Chains and Nonparametric Estimation

Thu, Apr 30, 3:45 PM - 5:15 PM Room Milwaukee A Hyatt Regency Milwaukee

Sakib SalamChair

Data Science Applications

3 Presentations

Orthogonal Series Estimation of Density and Regression Functions from Interval-Valued Data with Application to Climatology.

3:50 PM - 4:15 PM

Co-authors: Oluwatobi Akinbode (North Carolina A&T State University), Sayed Mostafa (Department of Mathematics and Statistics, North Carolina A & T State University), Oluwatobi Akinbode (North Carolina A&T State University)

interval-valued data, orthogonal series density midpoint-based estimator and monte-carlo based estimator.

Solidarity of Spectral Gaps for Component-Wise Markov Chains

4:15 PM - 4:40 PM

Co-authors: Youngwoo Kwon, Qian Qin (University of Minnesota), Youngwoo Kwon, Galin Jones (University of Minnesota)

Markov chain Monte Carlo Component-wise Markov chains Gibbs sampler Deterministic and random scan Metropolis-adjusted Langevin algorithm

Efficient and Accurate Variational Inference for Multilevel Threshold Autoregressive Models in Intensive Longitudinal Data

4:40 PM - 5:05 PM

Co-authors: Azizur Rahman (Government of manitoba), Azizur Rahman (Government of manitoba)

Intensive longitudinal data,Multilevel threshold autoregressive Variational Bayes Markov Chain Monte Carlo