Tag - Poisson

Modeling Frequency Outcomes with Ordinal Models

Share Tweet When modeling frequency outcomes, we often need to go beyond the standard Poisson regression due to the strict distributional assumption and to consider more flexible alternatives. In general, there are two broad categories of modeling ap...

New Course: Generalized Linear Models in R

Share Tweet Here is the course link. Course Description Linear regression serves as a workhorse of statistics, but cannot handle some types of complex data. A generalized linear model (GLM) expands upon linear regression to include non-normal distrib...

Surface Reconstruction Based on Neural Networks

“Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understan...