1 citations · 1 across the 1 of their papers we have counts for
4 papers
Practical Bayesian System Identification using Hamiltonian Monte Carlo
Johannes Hendriks, Adrian Wills, Brett Ninness +1
This paper considers Bayesian parameter estimation of dynamic systems using a Markov Chain Monte Carlo (MCMC) approach. The Metroplis-Hastings (MH) algorithm is employed, and the m…
Real-Time Robotic Search using Hierarchical Spatial Point Processes
Olov Andersson, Per Sidén, Johan Dahlin +2
Aerial robots hold great potential for aiding Search and Rescue (SAR) efforts over large areas. Traditional approaches typically searches an area exhaustively, thereby ignoring tha…
Correlated pseudo-marginal Metropolis-Hastings using quasi-Newton proposals
Johan Dahlin, Adrian Wills, Brett Ninness
Pseudo-marginal Metropolis-Hastings (pmMH) is a versatile algorithm for sampling from target distributions which are not easy to evaluate point-wise. However, pmMH requires good pr…
Particle-based Gaussian process optimization for input design in nonlinear dynamical models
Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas +1
We propose a novel approach to input design for identification of nonlinear state space models. The optimal input sequence is obtained by maximizing a scalar cost function of the F…