78 citations · 362 across the 40 of their papers we have counts for
4 papers · 1 filter
Gibbsian polar slice sampling
Philip Schär, Michael Habeck, Daniel Rudolf
Polar slice sampling (Roberts & Rosenthal, 2002) is a Markov chain approach for approximate sampling of distributions that is difficult, if not impossible, to implement efficiently…
Geodesic slice sampling on the sphere
Michael Habeck, Mareike Hasenpflug, Shantanu Kodgirwar +1
Probability measures on the sphere form an important class of statistical models and are used, for example, in modeling directional data or shapes. Due to their widespread use, but…
Analyzing cross-talk between superimposed signals: Vector norm dependent hidden Markov models and applications to ion channels
Laura Jula Vanegas, Benjamin Eltzner, Daniel Rudolf +3
We propose and investigate a hidden Markov model (HMM) for the analysis of dependent, aggregated, superimposed two-state signal recordings. A major motivation for this work is that…
Convergence of hybrid slice sampling via spectral gap
Krzysztof Łatuszyński, Daniel Rudolf
It is known that the simple slice sampler has robust convergence properties, however the class of problems where it can be implemented is limited. In contrast, we consider hybrid s…