Efficient Bayesian Methods for Counting Processes in Partially Observable EnvironmentsDownload PDFOpen Website

2018 (modified: 03 Nov 2022)AISTATS 2018Readers: Everyone
Abstract: When sensors that count events are unreliable, the data sets that result cannot be trusted. We address this common problem by developing practical Bayesian estimators for a partially observable Poi...
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