4 papers
Adaptive Approximate Bayesian Computation Tolerance Selection
Umberto Simola, Jessica Cisewski-Kehe, Michael U. Gutmann +1
Approximate Bayesian Computation (ABC) methods are increasingly used for inference in situations in which the likelihood function is either computationally costly or intractable to…
Measuring precise radial velocities and cross-correlation function line-profile variations using a Skew Normal density
Umberto Simola, Xavier Dumusque, Jessi Cisewski-Kehe
Stellar activity is one of the primary limitations to the detection of low-mass exoplanets using the radial-velocity (RV) technique. We propose to estimate the variations in shape…
Machine Learning Accelerated Likelihood-Free Event Reconstruction in Dark Matter Direct Detection
U. Simola, B. Pelssers, D. Barge +2
Reconstructing the position of an interaction for any dual-phase time projection chamber (TPC) with the best precision is key to directly detecting Dark Matter. Using the likelihoo…
Approximate Bayesian Computation for Finite Mixture Models
Umberto Simola, Jessi Cisewski-Kehe, Robert L. Wolpert
Finite mixture models are used in statistics and other disciplines, but inference for mixture models is challenging due, in part, to the multimodality of the likelihood function an…