Martin Hewing

Data Analyst

Math 4432: Statistical Learning

Math4432: Statistical Learning This course is open to graduates and senior undergraduates in applied mathematics, statistics, and engineering who are interested in learning from data. It covers hot topics in statistical learning, also known as machine learning, featured with various in-class projects in computer vision, pattern recognition, computational advertisement, bioinformatics, and social networks, etc.

Mixed Effects Models

Introduction to Linear Mixed Models This page briefly introduces linear mixed models LMMs as a method for analyzing data that are non independent, multilevel/hierarchical, longitudinal, or correlated. We focus on the general concepts and interpretation of LMMS, with less time spent on the theory and technical details.