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The Kriged Kalman filter · Study

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ArticleThe Kriged Kalman filter

Kanti V. Mardia1998

Article1998

The Kriged Kalman filter

Kanti V. Mardia · Colin R. Goodall · Edwin J. Redfern · Francisco Alonso

211 citations·0/0 files stored·Test

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Spatial and Panel Data Analysis Target Tracking and Data Fusion in Sensor Networks Gaussian Processes and Bayesian Inference

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References

1990Forecasting, Structural Time Series Models and the Kalman Filter 1981Spatial statistics 1998Model-Based Geostatistics 1981Spatial Statistics 1994Statistics for Spatial Data, Revised Edition.1984Maximum Likelihood Estimation of Models for Residual Covariance in Spatial Regression 1976Bayesian Forecasting 1993A Bayesian Analysis of Kriging

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2010A general science-based framework for dynamical spatio-temporal models 2010Fixed Rank Filtering for Spatio-Temporal Data 2005Spatial process modelling for univariate and multivariate dynamic spatial data 2011Spatio‐temporal smoothing and EM estimation for massive remote‐sensing data sets 2004Methods for generating non-separable spatiotemporal covariance models with potential environmental applications 2004A Spatiotemporal Model for Mexico City Ozone Levels

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2003An Introduction to Model-Based Geostatisticschapter · 6 shared references 1993A Bayesian Analysis of Krigingarticle · 4 shared references 2010Matérn Cross-Covariance Functions for Multivariate Random Fieldsarticle · 4 shared references 2003Hierarchical Models in Environmental Sciencearticle · 4 shared references 1996Analysis of Variance, Design, and Regression: Applied Statistical Methodsbook · 4 shared references 2002On Estimation and Prediction for Spatial Generalized Linear Mixed Modelsarticle · 4 shared references

Details

Year1998

Typearticle

Published1998-12-01

VenueTest

ISSN-L1133-0686

Languageen

Citations211

Files0 public / 0

ShelfSpatial and Panel Data Analysis

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doi10.1007/bf02565111

openalex_workW1982283335

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2016

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2008Spatial dynamic factor analysis