Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events
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Published By Springer Berlin Heidelberg

9783642170850, 9783642170867

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Space-Time Processes and Geostatistics

Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events ◽

10.1007/978-3-642-17086-7_1 ◽

2011 ◽

pp. 1-23 ◽

Cited By ~ 1

Author(s):

Gema Fernández-Avilés ◽

José-María Montero ◽

Emilio Porcu ◽

Martin Schlather

Keyword(s):

Space Time

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Bayesian Inference for Non-Markovian Point Processes

Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events ◽

10.1007/978-3-642-17086-7_4 ◽

2011 ◽

pp. 79-102 ◽

Cited By ~ 6

Author(s):

Peter Guttorp ◽

Thordis L. Thorarinsdottir

Keyword(s):

Bayesian Inference ◽

Point Processes

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Random Fields Arising in Chaotic Systems: Burgers Equation and Fractal Pseudodifferential Systems

Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events ◽

10.1007/978-3-642-17086-7_8 ◽

2011 ◽

pp. 165-219

Author(s):

Nikolai N. Leonenko ◽

M. Dolores Ruiz-Medina

Keyword(s):

Random Fields ◽

Chaotic Systems ◽

Burgers Equation

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On Some Local, Global and Regularity Behaviour of Some Classes of Covariance Functions

Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events ◽

10.1007/978-3-642-17086-7_9 ◽

2011 ◽

pp. 221-238 ◽

Cited By ~ 8

Author(s):

Emilio Porcu ◽

Michael L. Stein

Keyword(s):

Covariance Functions

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A Review on Spatial Extreme Modelling

Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events ◽

10.1007/978-3-642-17086-7_5 ◽

2011 ◽

pp. 103-124 ◽

Cited By ~ 5

Author(s):

Jean-Noël Bacro ◽

Carlo Gaetan

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Modeling Spatial and Spatio-Temporal Non Gaussian Processes

Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events ◽

10.1007/978-3-642-17086-7_7 ◽

2011 ◽

pp. 141-164 ◽

Cited By ~ 5

Author(s):

Denis Allard

Keyword(s):

Gaussian Processes ◽

Spatio Temporal ◽

Non Gaussian

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Construction of Covariance Functions and Unconditional Simulation of Random Fields

Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events ◽

10.1007/978-3-642-17086-7_2 ◽

2011 ◽

pp. 25-54 ◽

Cited By ~ 9

Author(s):

Martin Schlather

Keyword(s):

Random Fields ◽

Covariance Functions

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Asymptotics and Computation for Spatial Statistics

Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events ◽

10.1007/978-3-642-17086-7_10 ◽

2011 ◽

pp. 239-252

Author(s):

Hao Zhang

Keyword(s):

Spatial Statistics

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Relations Between Designs for Prediction and Estimation in Random Fields: An Illustrative Case

Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events ◽

10.1007/978-3-642-17086-7_6 ◽

2011 ◽

pp. 125-139 ◽

Cited By ~ 5

Author(s):

Werner G. Müller ◽

Luc Pronzato ◽

Helmut Waldl

Keyword(s):

Random Fields ◽

Illustrative Case

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Geostatistics for Large Datasets

Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events ◽

10.1007/978-3-642-17086-7_3 ◽

2011 ◽

pp. 55-77 ◽

Cited By ~ 34

Author(s):

Ying Sun ◽

Bo Li ◽

Marc G. Genton

Keyword(s):

Large Datasets

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Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural EventsLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

Space-Time Processes and Geostatistics

Bayesian Inference for Non-Markovian Point Processes

Random Fields Arising in Chaotic Systems: Burgers Equation and Fractal Pseudodifferential Systems

On Some Local, Global and Regularity Behaviour of Some Classes of Covariance Functions

A Review on Spatial Extreme Modelling

Modeling Spatial and Spatio-Temporal Non Gaussian Processes

Construction of Covariance Functions and Unconditional Simulation of Random Fields

Asymptotics and Computation for Spatial Statistics

Relations Between Designs for Prediction and Estimation in Random Fields: An Illustrative Case

Geostatistics for Large Datasets

Lecture Notes in Statistics - Advances and Challenges in Space-time Modelling of Natural Events
Latest Publications