most citedMCMC for Bayesian uncertainty quantification from time-series data

28 citations · 28 across the 1 of their papers we have counts for

collaborators

2 papers

stat.CO2020★ 28 cited

MCMC for Bayesian uncertainty quantification from time-series data

Philip Maybank, Patrick Peltzer, Uwe Naumann +1

Many problems in science and engineering require uncertainty quantification that accounts for observed data. For example, in computational neuroscience, Neural Population Models (N…

cs.MS2019

Eigen-AD: Algorithmic Differentiation of the Eigen Library

Patrick Peltzer, Johannes Lotz, Uwe Naumann

In this work we present useful techniques and possible enhancements when applying an Algorithmic Differentiation (AD) tool to the linear algebra library Eigen using our in-house AD…