Improving the performance of predictive process modeling for large datasets.
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Imputation of confidential data sets with spatial locations using disease mapping modelsHierarchical factor models for large spatially misaligned data: a low-rank predictive process approach.Hierarchical Modeling for Spatial Data ProblemsBayesian calibration of simulation models for supporting management of the elimination of the macroparasitic disease, Lymphatic Filariasis.Modelling heterogeneity in malaria transmission using large sparse spatio-temporal entomological data.BAYESIAN SPATIAL-TEMPORAL MODELING OF ECOLOGICAL ZERO-INFLATED COUNT DATA.Hierarchical Spatial Process Models for Multiple Traits in Large Genetic TrialsA Hierarchical Model for Quantifying Forest Variables Over Large Heterogeneous Landscapes With Uncertain Forest AreasEfficient Gaussian process regression for large datasets.Kernel Averaged Predictors for Spatio-Temporal Regression ModelsSpace-time investigation of the effects of fishing on fish populations.Adaptive Gaussian Predictive Process Models for Large Spatial Datasets.Bayesian Modeling for Large Spatial Datasets.High-Dimensional Bayesian Geostatistics.Bayesian Modeling and Analysis of Geostatistical Data.Comparing and Blending Regional Climate Model Predictions for the American SouthwestPoint pattern modelling for degraded presence-only data over large regionsDiscussing the “big n problem”Disentangling spatio-temporal processes in a hierarchical system: a case study in fisheries discardsNonstationary Gaussian Process Models Using Spatial Hierarchical Clustering from Finite DifferencesA Fused Lasso Approach to Nonstationary Spatial Covariance EstimationAn Overview of Approaches to the Analysis and Modelling of Multivariate Geostatistical DataUsing spatiotemporal statistical models to estimate animal abundance and infer ecological dynamics from survey countsAssessing trends and uncertainties in satellite-era ocean chlorophyll using space-time modeling
P2860
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P2860
Improving the performance of predictive process modeling for large datasets.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on June 2009
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Improving the performance of predictive process modeling for large datasets.
@en
Improving the performance of predictive process modeling for large datasets.
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type
label
Improving the performance of predictive process modeling for large datasets.
@en
Improving the performance of predictive process modeling for large datasets.
@nl
prefLabel
Improving the performance of predictive process modeling for large datasets.
@en
Improving the performance of predictive process modeling for large datasets.
@nl
P2093
P1476
Improving the performance of predictive process modeling for large datasets.
@en
P2093
Alan E Gelfand
Andrew O Finley
Huiyan Sang
Sudipto Banerjee
P2860
P304
P356
10.1016/J.CSDA.2008.09.008
P577
2009-06-01T00:00:00Z