Hosting the Analytical Paleobiology School

Our 3-week school aims to introduce graduate students to a range of analytical methods that are foundational to or at the cutting edge of paleobiological research. Topics, taught by rotating expert instructors, will include probability theory, maximum likelihood and Bayesian methods, resampling techniques, correlation and regression, multivariate statistics, methods of measuring biodiversity, morphometrics, phylogenetic methods, spatial and time-series analyses and other related topics. The school will also provide practical hands-on training in statistical programming and data analysis and visualization in R.

More information:

• our next call will be in spring 2024
• Details and application