Bayesian statistics in contemporary data science signify a paradigm revolution in probabilistic argumentation that provides ...

5/9: Solutions to HW 4 are now posted below. 5/8: Solutions to review problems are here. 5/4: Final Exam Review Problems are here. (I may post a couple more on Saturday.) 3/21: Project time! You can ...

A common misconception about Bayesian statistics is that it mainly involves incorporating personal prior beliefs or subjective opinions. While priors do play a role, the core strength of Bayesian ...

The integration of Bayesian statistics into modern analytics has redefined industries, and Alexandre Andorra’s work exemplifies its transformative potential. With expertise spanning sports analytics, ...

1 Describe the fundamental differences between the Bayesian and frequentist approaches to statistics. 2 Construct conjugate families of prior distributions for common sampling distributions. 3 Explain ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

This course is available on the BSc in Actuarial Science, BSc in Business Mathematics and Statistics, BSc in Data Science ... loss and utility functions, Bayesian expected loss, Frequentist risk.