Proceedings of COMPSTAT'2010 (eBook, PDF)
19th International Conference on Computational StatisticsParis France, August 22-27, 2010 Keynote, Invited and Contributed Papers
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Proceedings of COMPSTAT'2010 (eBook, PDF)
19th International Conference on Computational StatisticsParis France, August 22-27, 2010 Keynote, Invited and Contributed Papers
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Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
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Proceedings of the 19th international symposium on computational statistics, held in Paris august 22-27, 2010.Together with 3 keynote talks, there were 14 invited sessions and more than 100 peer-reviewed contributed communications.
Produktdetails
- Produktdetails
- Verlag: Physica
- Erscheinungstermin: 8. November 2010
- Englisch
- ISBN-13: 9783790826043
- Artikelnr.: 37398903
- Verlag: Physica
- Erscheinungstermin: 8. November 2010
- Englisch
- ISBN-13: 9783790826043
- Artikelnr.: 37398903
Part I: Keynote.- Part II: ABC Methods for Genetic Data.- Part III: Algorithms for Robust Statistics.- Part IV: Brain Imaging.- Part V: Computational Econometrics.- Part VI: Computer-Intensive Actuarial Methods.- Part VII: Data Stream Mining.- Part VIII: Functional Data Analysis.- Part IX: Kernel Methods.-Part X: Monte Carlo Methods in System Safety, Reliability and Risk Analysis.- Part XI: Optimization Heuristics in Statistical Modelling.- Part XII: Spatial Statistics / Spatial Epidemiology.- Part XIII: ARS Session (Financial) Time Series.- Part XIV: KDD Session: Topological Learning.- Part XV: IFCS Session: New Developments in Two or Highermode Clustering; Model Based Clustering and Reduction for High Dimensional Data.- Part XVI: Selected Contributed Papers.- Part XVII: E-supplementary material: Contributed Papers.
Part I: Keynote.- Part II: ABC Methods for Genetic Data.- Part III: Algorithms for Robust Statistics.- Part IV: Brain Imaging.- Part V: Computational Econometrics.- Part VI: Computer-Intensive Actuarial Methods.- Part VII: Data Stream Mining.- Part VIII: Functional Data Analysis.- Part IX: Kernel Methods.-Part X: Monte Carlo Methods in System Safety, Reliability and Risk Analysis.- Part XI: Optimization Heuristics in Statistical Modelling.- Part XII: Spatial Statistics / Spatial Epidemiology.- Part XIII: ARS Session (Financial) Time Series.- Part XIV: KDD Session: Topological Learning.- Part XV: IFCS Session: New Developments in Two or Highermode Clustering; Model Based Clustering and Reduction for High Dimensional Data.- Part XVI: Selected Contributed Papers.- Part XVII: E-supplementary material: Contributed Papers.
Part I: Keynote.- Part II: ABC Methods for Genetic Data.- Part III: Algorithms for Robust Statistics.- Part IV: Brain Imaging.- Part V: Computational Econometrics.- Part VI: Computer-Intensive Actuarial Methods.- Part VII: Data Stream Mining.- Part VIII: Functional Data Analysis.- Part IX: Kernel Methods.-Part X: Monte Carlo Methods in System Safety, Reliability and Risk Analysis.- Part XI: Optimization Heuristics in Statistical Modelling.- Part XII: Spatial Statistics / Spatial Epidemiology.- Part XIII: ARS Session (Financial) Time Series.- Part XIV: KDD Session: Topological Learning.- Part XV: IFCS Session: New Developments in Two or Highermode Clustering; Model Based Clustering and Reduction for High Dimensional Data.- Part XVI: Selected Contributed Papers.- Part XVII: E-supplementary material: Contributed Papers.
Part I: Keynote.- Part II: ABC Methods for Genetic Data.- Part III: Algorithms for Robust Statistics.- Part IV: Brain Imaging.- Part V: Computational Econometrics.- Part VI: Computer-Intensive Actuarial Methods.- Part VII: Data Stream Mining.- Part VIII: Functional Data Analysis.- Part IX: Kernel Methods.-Part X: Monte Carlo Methods in System Safety, Reliability and Risk Analysis.- Part XI: Optimization Heuristics in Statistical Modelling.- Part XII: Spatial Statistics / Spatial Epidemiology.- Part XIII: ARS Session (Financial) Time Series.- Part XIV: KDD Session: Topological Learning.- Part XV: IFCS Session: New Developments in Two or Highermode Clustering; Model Based Clustering and Reduction for High Dimensional Data.- Part XVI: Selected Contributed Papers.- Part XVII: E-supplementary material: Contributed Papers.