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Tag: topic/spatial-point-processes
44 items with this tag.
Nov 08, 2026
Friedman 2000 - Bayesian Structure Learning Framework
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Nov 08, 2026
Friedman 2000 - Being Bayesian about Network Structure - Overview
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Nov 08, 2026
Friedman 2000 - Closed Form for a Known Ordering
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Nov 08, 2026
Friedman 2000 - Experiments Mixing and Feature Recovery
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Nov 08, 2026
Friedman 2000 - MCMC over Orderings and Computational Tricks
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Nov 08, 2026
Index: Friedman 2000 - Being Bayesian about Network Structure
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Nov 08, 2026
Hoff 2002 - Discussion Extensions and Stochastic Blockmodel Contrast
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Nov 08, 2026
Hoff 2002 - Distance and Projection Models
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Nov 08, 2026
Hoff 2002 - Latent Space Models Overview
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Nov 08, 2026
Hoff 2002 - Likelihood Estimation and Procrustes MCMC
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Nov 08, 2026
Hoff 2002 - Monks Florentine Families and Classroom Examples
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Nov 08, 2026
Index: Hoff 2002 - Latent Space Approaches to Social Network Analysis
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Nov 08, 2026
Li 2019 - Graphical Horseshoe Estimator - Overview
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Nov 08, 2026
Li 2019 - Graphical Horseshoe Model and Gibbs Sampler
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Nov 08, 2026
Li 2019 - Kullback-Leibler Risk Bound and Bias Theory
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Nov 08, 2026
Li 2019 - Simulation Study and Gene Expression Application
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Nov 08, 2026
Index: Li 2019 - Graphical Horseshoe Estimator
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Nov 08, 2026
Network Outcome Models - Stochastic Block Models and Network Checks
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Nov 08, 2026
Reinhart 2018 - Crime, Epidemic and Network Applications
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Nov 08, 2026
Reinhart 2018 - ETAS Earthquake Models and Omori Law
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Nov 08, 2026
Reinhart 2018 - Hawkes Processes and Conditional Intensity
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Nov 08, 2026
Reinhart 2018 - Likelihood, EM and Bayesian Estimation
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Nov 08, 2026
Reinhart 2018 - Self-Exciting Spatio-Temporal Point Processes - Overview
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Nov 08, 2026
Reinhart 2018 - Simulation, Inference and Diagnostics
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Nov 08, 2026
Reinhart 2018 - Stochastic Declustering
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Nov 08, 2026
Index: Reinhart 2018 - Self-Exciting Spatio-Temporal Point Processes
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Nov 08, 2026
Riebler 2016 - BYM2 Intuitive Spatial Model - Overview
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Nov 08, 2026
Riebler 2016 - Classical Disease Mapping Models Besag BYM Leroux Dean
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Nov 08, 2026
Riebler 2016 - Penalised Complexity Priors for BYM2
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Nov 08, 2026
Riebler 2016 - Scaling and the BYM2 Construction
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Nov 08, 2026
Riebler 2016 - Simulation Study and Sardinia IDDM Application
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Nov 08, 2026
Index: Riebler 2016 - BYM2 Intuitive Spatial Model
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Nov 08, 2026
Simpson 2016 - Convergence Theory
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Nov 08, 2026
Simpson 2016 - Examples BCI Sampling Effort and Ocean
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Nov 08, 2026
Simpson 2016 - Going Off Grid - Overview
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Nov 08, 2026
Simpson 2016 - LGCP Likelihood and the Lattice Approximation
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Nov 08, 2026
Simpson 2016 - Matern SPDE and GMRF Representation
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Nov 08, 2026
Simpson 2016 - Off-Grid Poisson-Form Likelihood
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Nov 08, 2026
Index: Simpson 2016 - Going Off Grid LGCP Inference
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Nov 08, 2026
Spatial Fields - Gaussian Random Fields, Kriging and Field-Level Inference
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Nov 08, 2026
Bayesian Causal Discovery - BGe Score, Interventions and Sachs Data
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Nov 08, 2026
Bayesian Gaussian Graphical Models - G-Wishart and Neighbourhood Selection
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Nov 08, 2026
Phylogenetic Regression - Brownian Motion, OU and Pagel Lambda
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Nov 08, 2026
Index: Point Processes, Spatial Fields and Networks
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