activity
20102026
most citedExact sampling for intractable probability distributions via a Bernoulli factory

26 citations · 60 across the 7 of their papers we have counts for

collaborators

8 papers

stat.CO2026

Exact Simulation of Diffusions via Brownian Bridge Range Reconstruction

Radu Herbei, Kumar Somnath

We develop an exact simulation algorithm for scalar diffusion paths and diffusion bridges when the Poisson potential is unbounded in both tails. The method reconstructs the realize…

math.PR2026

Interval-Constrained Brownian Paths: Exact Interpolation and Extrapolation

Radu Herbei, Kumar Somnath

We study Brownian motion and Brownian bridge processes conditioned to remain in a fixed interval , focusing on the conditional distribution at a single time. For a Brownian…

stat.ME2021★ 2 cited

The Taxicab Sampler: MCMC for Discrete Spaces with Application to Tree Models

Vincent Geels, Matthew Pratola, Radu Herbei

Motivated by the problem of exploring discrete but very complex state spaces in Bayesian models, we propose a novel Markov Chain Monte Carlo search algorithm: the taxicab sampler.…

stat.ME2020★ 5 cited

Analyzing Stochastic Computer Models: A Review with Opportunities

Evan Baker, Pierre Barbillon, Arindam Fadikar +10

In modern science, computer models are often used to understand complex phenomena, and a thriving statistical community has grown around analyzing them. This review aims to bring a…

stat.CO2017

Bayesian Inference of Selection in the Wright-Fisher Diffusion Model

Jeffrey J. Gory, Radu Herbei, Laura S. Kubatko

The increasing availability of population-level allele frequency data across one or more related populations necessitates the development of methods that can efficiently estimate p…

stat.ME2014★ 3 cited

Maximum Likelihood Estimation for Stochastic Differential Equations Using Sequential Kriging-Based Optimization

Grant Schneider, Peter F. Craigmile, Radu Herbei

Stochastic Differential Equations (SDEs) are used as statistical models in many disciplines. However, intractable likelihood functions for SDEs make inference challenging, and we n…