Tractable nonparametric bayesian inference in poisson processes with Gaussian process intensities

ACM International Conference Proceeding Series

Volumn 382, Issue , 2009, Pages

  Adams, Ryan Prescott ^a   Murray, Iain ^b   MacKay, David J C ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF TORONTO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; GAUSSIAN NOISE (ELECTRONIC); INFERENCE ENGINES; LEARNING SYSTEMS; MARKOV PROCESSES; MONTE CARLO METHODS; POISSON DISTRIBUTION; STOCHASTIC SYSTEMS;

DOUBLY STOCHASTIC POISSON PROCESS; GAUSSIAN PROCESSES; INFINITE DIMENSIONAL; INHOMOGENEOUS POISSON PROCESS; MARKOV CHAIN MONTE-CARLO; NON-PARAMETRIC BAYESIAN INFERENCES; NON-PARAMETRIC BAYESIAN MODELING; PRIOR DISTRIBUTION;

GAUSSIAN DISTRIBUTION;

EID: 70049088149     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1553374.1553376     Document Type: Conference Paper

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