We propose a global smoothing method based on polynomial splines for the estimation of functional coefficient regression models for non-linear time series. Consistency and rate of convergence results ...

A geometric framework for constructing optimal Bayesian designs and maximin designs for non-linear models with a single unknown parameter and a prior distribution on that parameter, which is ...

Specialization: Intro to Statistical Learning Instructor: Osita Onyejeweke, InstructorPrior knowledge needed: Intro Statistics and Foundational MathLearning Outcomes Apply resampling methods in order ...

Course TopicsIn many applications, the response variable is not Normally distributed. GLM can be used to analyze data from various non-Normal distributions. In this short course, we will introduce two ...