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Gaussian process modulated Poisson processes provide a flexible framework for modelling spatiotemporal point patterns.
A kernel method for smoothing point process data
Diggle, Peter J · 1985
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Log Gaussian Cox processes
Møller, Jesper, Syversveen, Anne Randi, and Waagepetersen, Rasmus Plenge · 1998
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Advances in Markov chain Monte Carlo methods
Murray, Iain · 2007
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Sparse log Gaussian processes via MCMC for spatial epidemiology
Vanhatalo, Jarno and Vehtari, Aki · 2007
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Random features for large-scale kernel machines
Rahimi, Ali and Recht, Benjamin · 2008
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Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities
Adams, Ryan P., Murray, Iain, and MacKay, David J. C · 2009
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Sparse spectrum Gaussian process regression
Lázaro-Gredilla, Miguel, Quiñonero-Candela, Joaquin, Rasmussen, Carl Edward, and Figueiras-Vidal, Aníbal R · 2010
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Bayesian Gaussian process latent variable model
Titsias, Michalis and Lawrence, Neil D · 2010
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Spatial and spatio-temporal log-Gaussian Cox processes: Extending the geostatistical paradigm
Diggle, Peter J., Moraga, Paula, Rowlingson, Barry, and Taylor, Benjamin M · 2013
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Predicting taxi–passenger demand using streaming data
Moreira-Matias, Luis, Gama, Joao, Ferreira, Michel, Mendes-Moreira, Joao, and Damas, Luis · 2013
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Efficient Bayesian nonparametric modelling of structured point processes
Gunter, Tom, Lloyd, Chris, Osborne, Michael A., and Roberts, Stephen J · 2014
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MCMC for variationally sparse Gaussian processes
Hensman, James, Matthews, Alexander G. de G., Filippone, Maurizio, and Ghahramani, Zoubin · 2015
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Variational inference for Gaussian process modulated Poisson processes
Bayesian inference and data augmentation schemes for spatial, spatiotemporal and multivariate log-Gaussian Cox processes in R
Taylor, Benjamin M., Davies, Tilman, Rowlingson, Barry, and Diggle, Peter J · 2015
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Poisson intensity estimation with reproducing kernels
Flaxman, Seth, Whye Teh, Yee, and Sejdinovic, Dino · 2016
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Variational Fourier features for Gaussian processes
Hensman, James, Durrande, Nicolas, and Solin, Arno · 2016
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Scalable Gaussian process inference using variational methods
Matthews, Alexander G. de G · 2016
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On sparse variational methods and the Kullback-Leibler divergence between stochastic processes
Matthews, Alexander G. de G., Hensman, James, Turner, Richard, and Ghahramani, Zoubin · 2016
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Lloyd, Chris, Gunter, Tom, Osborne, Michael, and Roberts, Stephen · 2015
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Flaxman, Seth, Chirico, Michael, Pereira, Pau, and Loeffler, Charles · 2018
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