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[Lecture Notes in Statistics] Advances and Challenges in Space-time Modelling of Natural Events Volume 207 || Bayesian Inference for Non-Markovian Point Processes

✍ Scribed by Porcu, Emilio; Montero, José–María; Schlather, Martin

Book ID
120465101
Publisher
Springer Berlin Heidelberg
Year
2011
Tongue
German
Weight
593 KB
Edition
1st
Category
Article
ISBN
3642170862

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✦ Synopsis

This Book Arises As The Natural Continuation Of The International Spring School Advances And Challenges In Space-time Modelling Of Natural Events, Which Took Place In Toledo (spain) In March 2010. This Spring School Above All Focused On Young Researchers (master Students, Phd Students And Post-doctoral Researchers) In Academics, Extra-university Research And The Industry Who Are Interested In Learning About Recent Developments, New Methods And Applications In Spatial Statistics And Related Areas, And In Exchanging Ideas And Findings With Colleagues.

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[Lecture Notes in Statistics] Advances and Challenges in Space-time Modelling of Natural Events Volume 207 || On Some Local, Global and Regularity Behaviour of Some Classes of Covariance Functions
✍ Porcu, Emilio; Montero, José–María; Schlather, Martin 📂 Article 📅 2011 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 256 KB

This Book Arises As The Natural Continuation Of The International Spring School Advances And Challenges In Space-time Modelling Of Natural Events, Which Took Place In Toledo (spain) In March 2010. This Spring School Above All Focused On Young Researchers (master Students, Phd Students And Post-docto