4 citations · 7 across the 2 of their papers we have counts for
2 papers
stat.ME2017★ 4 cited
The nonparametric Fisher geometry and the chi-square process density prior
Andrew Holbrook, Shiwei Lan, Jeffrey Streets +1
It is well known that the Fisher information induces a Riemannian geometry on parametric families of probability density functions. Following recent work, we consider the nonparame…
stat.CO2015★ 3 cited
Sampling constrained probability distributions using Spherical Augmentation
Shiwei Lan, Babak Shahbaba
Statistical models with constrained probability distributions are abundant in machine learning. Some examples include regression models with norm constraints (e.g., Lasso), probit,…