Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities.
Ryan Prescott AdamsIain MurrayDavid J. C. MacKayPublished in: ICML (2009)
Keyphrases
- gaussian process
- poisson processes
- bayesian inference
- poisson process
- hyperparameters
- gaussian processes
- expectation propagation
- probabilistic model
- posterior distribution
- prior information
- variational bayes
- approximate inference
- variational inference
- latent variables
- bayesian model
- bayesian methods
- model selection
- regression model
- particle filter
- bayesian framework
- density estimation