Complete open course for students, researchers, and applied data scientists who want to learn Bayesian statistics from first principles and use it in real research workflows. This course is designed ...

We provide scientific training courses, Workshops & consulting sessions in Bioinformatics, Genomics & Data Science, promoting the transfer of new methods & emerging techniques to a broad range of ...

Start date: 16 March 2026 End date: 20 March 2026 Location: Online. The link to the streaming platform will be provided to the registrants only. Welcome to the Introduction to Bayesian Learning Course ...

SERC copy Purchased with Adopt-a-Book funds. "Statistical Rethinking: A Bayesian Course with Examples in R and Stan builds readers’ knowledge of and confidence in statistical modeling. Reflecting the ...

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 ...

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 ...

Accurate classification of brain tumor subtypes is important for prognosis and treatment. Researchers are developing tools based on static and dynamic feature extraction and applying machine learning ...

A Bayesian inference method for refining crystallographic structures is presented. The distribution of model parameters is stochastically sampled using Markov chain Monte Carlo. Posterior probability ...