45 citations · 292 across the 21 of their papers we have counts for
3 papers · 1 filter
Better together? Statistical learning in models made of modules
Pierre E. Jacob, Lawrence M. Murray, Chris C. Holmes +1
In modern applications, statisticians are faced with integrating heterogeneous data modalities relevant for an inference, prediction, or decision problem. In such circumstances, it…
Delayed Sampling and Automatic Rao-Blackwellization of Probabilistic Programs
Lawrence M. Murray, Daniel Lundén, Jan Kudlicka +2
We introduce a dynamic mechanism for the solution of analytically-tractable substructure in probabilistic programs, using conjugate priors and affine transformations to reduce vari…
Probabilistic learning of nonlinear dynamical systems using sequential Monte Carlo
Thomas B. Schön, Andreas Svensson, Lawrence Murray +1
Probabilistic modeling provides the capability to represent and manipulate uncertainty in data, models, predictions and decisions. We are concerned with the problem of learning pro…