Showing stat.MLShow all
2 papers · 1 filter
stat.ML2016
Optimal Encoding and Decoding for Point Process Observations: an Approximate Closed-Form Filter
Yuval Harel, Ron Meir, Manfred Opper
The process of dynamic state estimation (filtering) based on point process observations is in general intractable. Numerical sampling techniques are often practically useful, but l…
stat.ML2015
An Analytically Tractable Bayesian Approximation to Optimal Point Process Filtering
Yuval Harel, Ron Meir, Manfred Opper
The process of dynamic state estimation (filtering) based on point process observations is in general intractable. Numerical sampling techniques are often practically useful, but l…