In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

A general program that focuses on the analysis of quantities, magnitudes, forms, and their relationships, using symbolic logic and language. Includes instruction in algebra, calculus, functional ...

This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data ...

Join a university ranked in the UK top five for mathematics research (THE analysis of REF 2021) with an excellent reputation for teaching and learning. This three-year course provides a rigorous ...

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 ...

Bayesian spatial statistics and modeling represent a robust inferential framework where uncertainty in spatial processes is explicitly quantified through probability distributions. This approach ...