2 papers
stat.ME2025
Time-Averaged Drift Approximations are Inconsistent for Inference in Drift Diffusion Models
Sicheng Liu, Alexander Fengler, Michael J. Frank +1
Drift diffusion models (DDMs) have found widespread use in computational neuroscience, cognitive science, mathematical psychology as well as other fields. They model evidence accum…
stat.ME2025
Efficient Inference in First Passage Time Models
Sicheng Liu, Alexander Fengler, Michael J. Frank +1
First passage time models describe the time it takes for a random process to exit a region of interest and are widely used across various scientific fields. Fast and accurate numer…