5 citations · 5 across the 1 of their papers we have counts for
3 papers
eess.IV2020
Performance Estimation of a Real-Time Rosette Imager
Gene Stoltz, Marnus Stoltz
In this paper, we model a real-time feasible rosette imager, consisting of a rosette scanner, an optical sensor and a deterministic image reconstruction algorithm. We fine-tune the…
stat.CO2020★ 5 cited
A 1000-fold Acceleration of Hidden Markov Model Fitting using Graphical Processing Units, with application to Nonvolcanic Tremor Classification
Marnus Stoltz, Gene Stoltz, Kazushige Obara +2
Hidden Markov models (HMMs) are general purpose models for time-series data widely used across the sciences because of their flexibility and elegance. However fitting HMMs can ofte…
q-bio.PE2019
Bayesian inference of species trees using diffusion models
Marnus Stoltz, Boris Bauemer, Remco Bouckaert +3
We describe a new and computationally efficient Bayesian methodology for inferring species trees and demographics from unlinked binary markers. Likelihood calculations are carried…