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Spatiotemporal clustering using Gaussian processes embedded in a mixture model
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Bayesian modelling of inseparable space‐time variation in disease risk
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Finite Mixture Models for Mapping Spatially Dependent Disease Counts
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Hierarchical multivariate mixture generalized linear models for the analysis of spatial data: An application to disease mapping
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Modelling biological regions from multi‐species and environmental data
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Restricted spatial regression in practice: geostatistical models, confounding, and robustness under model misspecification
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Spatiotemporal multivariate mixture models for Bayesian model selection in disease mapping
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Approximate inference for disease mapping with sparse Gaussian processes
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Clustering of Spatial Data by the EM Algorithm
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Bayesian spatial modeling of genetic population structure
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The Classification Society’s Bibliography Over Four Decades: History and Content Analysis
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Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA)
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Dynamic model-based clustering for spatio-temporal data
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Markov chain Monte Carlo with the Integrated Nested Laplace Approximation
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Multinomial probit: The theory and its application to demand forecasting
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How many demersal fish species in the deep sea? A test of a method to extrapolate from local to global diversity
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A technique for measuring like-mindedness.
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Molecular ecology of social behaviour: analyses of breeding systems and genetic structure
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Biology of peron's threadfin bream, Nemipterus peronii (Valenciennes), from the north west shelf of Australia
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Accurate Approximations for Posterior Moments and Marginal Densities
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Bioregions in Marine Environments: Combining Biological and Environmental Data for Management and Scientific Understanding
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Identifying clusters in Bayesian disease mapping
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Bayesian spatial multispecies modelling to assess pelagic fish stocks from acoustic- and trawl-survey data
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Mixture models with adaptive spatial regularization for segmentation with an application to FMRI data
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Gaussian-Mixture-Model-Based Spatial Neighborhood Relationships for Pixel Labeling Problem
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Dealing With Label Switching in Mixture Models
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Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
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The Statistical Analysis of Compositional Data
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A Multivariate Spatial Mixture Model for Areal Data: Examining Regional Differences in Standardized Test Scores
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Ecological Grouping of Survey Sites When Sampling Artefacts are Present
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Modeling the spatial distribution of larval fish abundance provides essential information for management
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Adaptive Mixtures of Local Experts
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Hierarchical Mixtures of Experts and the EM Algorithm
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Hidden Markov Models and Disease Mapping
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MCMC Using Hamiltonian Dynamics
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Prior distributions for variance parameters in hierarchical models (comment on article by Browne and Draper)
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Life History Strategies and Recent Changes in Population Structure in the Lizardfish Genus, Saurida, on the Australian Northwest Shelf
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Nested Expectation Propagation for Gaussian Process Classification with a Multinomial Probit Likelihood
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Does Wind Affect the Orientation of Vegetation Stripes? A Copula‐Based Mixture Model for Axial and Circular Data
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Bayesian Nonparametric Clustering for Spatiotemporal Data, With an Application to Air Pollution
inferred← citeshttps://doi.org/10.1007/s00357-025-09527-0openalex-snapshot
Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
inferred← citeshttps://doi.org/10.1007/s10109-024-00454-zopenalex-snapshot
Spatiotemporal forecasting models with and without a confounded covariate
inferred← citeshttps://doi.org/10.1007/s13253-024-00600-6openalex-snapshot
A Spatial Mixture Model for Spaceborne Lidar Observations Over Mixed Forest and Non-forest Land Types
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109637openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.envc.2026.101440openalex-snapshot
Comparative analysis of machine learning approaches for spatio-temporal mapping and migration of groundwater contamination in northern ontario
inferred← citeshttps://doi.org/10.1080/01621459.2022.2098135openalex-snapshot
Discussion of “Measuring Housing Vitality from Multi-Source Big Data and Machine Learning”
inferred← citeshttps://doi.org/10.1109/icassp48485.2024.10447983openalex-snapshot
Scalable Model-Based Gaussian Process Clustering
inferred← citeshttps://doi.org/10.1111/2041-210x.14184openalex-snapshot
Spatiotemporal joint species distribution modelling: A basis function approach
inferred← citeshttps://doi.org/10.3390/diagnostics12123072openalex-snapshot
DECT-CLUST: Dual-Energy CT Image Clustering and Application to Head and Neck Squamous Cell Carcinoma Segmentation
inferred← citeshttps://doi.org/10.36227/techrxiv.19089995openalex-snapshot
Spectral image clustering on dual-energy CT scans using functional regression mixtures
inferred← citeshttps://doi.org/10.36227/techrxiv.19089995.v1openalex-snapshot
Spectral image clustering on dual-energy CT scans using functional regression mixtures
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