Uncover the power of Bayesian Item Response Theory in PyMC. Learn how it revolutionizes data analysis and opens up new possibilities for personality modeling.

AUTHORED BY

Thomas Wiecki

DATE

2022-10-26

Introduction

In this panel discussion, we discuss IRT (Item Response Theory), GRM (Graded Response Model) and the advantages to using the Bayesian approach at Alva Labs.

Item response theory, also known as the latent response theory, refers to a family of mathematical models that attempt to explain the relationship between latent traits (unobservable characteristic or attribute) and their manifestations (i.e. observed outcomes, responses or performance). Graded response model (or Ordered Categorical Responses Model) is a family of mathematical models for grading responses.

If you are interested in seeing what we at PyMC Labs can do for you, then please email info@pymc-labs.com. We work with companies at a variety of scales and with varying levels of existing modeling capacity.
We also run corporate workshop training events and can provide sessions ranging from introduction to Bayes to more advanced topics.