Annual statistics summer school
Science and statistics is/are one unitary thing; you cannot do one without the other.
Towards this end, I teach some (in my opinion) critically important classes that provide a solid statistical foundation for doing research in cognitive science.
- Free online course, four weeks (MOOC), enrollments open (starts Jan 25, 2023):
Introduction to Bayesian Data Analysis.
- Short (four-hour) tutorial on Bayesian statistics, taught at EMLAR 2022: here
- Introduction to (frequentist) statistics
- Introduction to Bayesian data analysis for cognitive science
Over the last 20 years, our work has been focused on developing computational models of sentence comprehension, both for unimpaired adult speakers and impaired populations (individuals with aphasia). My current focus is on modeling systematic individual differences.
Along with my former student Felix Engelmann
, I have recently published a book with Cambridge University Press that summarizes the achievements of the last 20 years of work from my lab:
Sentence Comprehension as a Cognitive Process
A Computational Approach
Public talks (special pandemic edition)
- Stanford, April 20, 2021: Dependency completion in sentence processing: Some recent and computational investigations
- Tuebingen, Feb 22, 2021: Individual differences in cue-weighting in sentence processing: An evaluation using Approximate Bayesian Computation
- Michigan Linguistics, Feb 6, 2020): Computational models of retrieval processes: An evaluation using benchmark data