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Research map / Probabilistic and scientific modeling / Uncertainty and Gaussian processes

Fast Bayesian Intensity Estimation for the Permanental Process

ICML 2017 · Probabilistic and scientific modeling › Uncertainty and Gaussian processes · approach: Simulation-based inference · 9 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use LBPP-G instead of VBPPBayesian permanental-process intensity estimation · 1D toy examplesfit timeHelped
Use LBPP-G instead of VBPPBayesian permanental-process intensity estimation · 1D toy examplesexpected test log likelihoodNo clear effect
Use the cosine covariance instead of the Gaussian covarianceLBPP · 1D toy examplesexpected test log likelihoodHurt
Use the cosine covariance instead of the Gaussian covarianceLBPP · real-world datasetstest log likelihoodHelped
Use marginal likelihood for model selectionLBPP · 1D toy examplesintensity estimation errorHelped

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