1 citations · 1 across the 1 of their papers we have counts for
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★ 1 cited
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…