Brito, Paula
COMPSTAT 2008
Part I.Keynote
1. Nonparametric Methods for Estimating Periodic Functions, with Applications in Astronomy
Peter Hall
Part II.Advances on Statistical Computing Environments
2. Back to the Future: Lisp as a Base for a Statistical Computing System
Ross Ihaka, Duncan Temple Lang
3. Computable Statistical Research and Practice
Anthony Rossini
4. Implicit and Explicit Parallel Computing in R
Luke Tierney
Part III.Classification and Clustering of Complex Data
5. Probabilistic Modeling for Symbolic Data
Hans-Hermann Bock
6. Monothetic Divisive Clustering with Geographical Constraints
Marie Chavent, Yves Lechevallier, Françoise Vernier, Kevin Petit
7. Comparing Histogram Data Using a Mahalanobis–Wasserstein Distance
Rosanna Verde, Antonio Irpino
Part IV.Computation for Graphical Models and Bayes Nets
8. Iterative Conditional Fitting for Discrete Chain Graph Models
Mathias Drton
9. Graphical Models for Sparse Data: Graphical Gaussian Models with Vertex and Edge Symmetries
Søren Højsgaard
10. Parameterization and Fitting of a Class of Discrete Graphical Models
Giovanni M. Marchetti, Monia Lupparelli
Part V.Computational Econometrics
11. Exploring the Bootstrap Discrepancy
Russell Davidson
12. On Diagnostic Checking Time Series Models with Portmanteau Test Statistics Based on Generalized Inverses and
Pierre Duchesne, Christian Francq
13. New Developments in Latent Variable Models: Non-linear and Dynamic Models
Irini Moustaki
Part VI.Computational Statistics and Data Mining Methods for Alcohol Studies
14. Estimating Spatiotemporal Effects for Ecological Alcohol Systems
Yasmin H. Said
15. A Directed Graph Model of Ecological Alcohol Systems Incorporating Spatiotemporal Effects
Edward J. Wegman, Yasmin H. Said
16. Spatial and Computational Models of Alcohol Use and Problems
William F. Wieczorek, Yasmin H. Said, Edward J. Wegman
Part VII.Finance and Insurance
17. Optimal Investment for an Insurer with Multiple Risky Assets Under Mean-Variance Criterion
Junna Bi, Junyi Guo
18. Inhomogeneous Jump-GARCH Models with Applications in Financial Time Series Analysis
Chunhang Chen, Seisho Sato
19. The Classical Risk Model with Constant Interest and Threshold Strategy
Yinghui Dong, Kam C. Yuen
20. Estimation of Structural Parameters in Crossed Classification Credibility Model Using Linear Mixed Models
Wing K. Fung, Xiaochen Xu
Part VIII.Information Retrieval for Text and Images
21. A Hybrid Approach for Taxonomy Learning from Text
Ahmad El Sayed, Hakim Hacid
22. Image and Image-Set Modeling Using a Mixture Model
Charbel Julien, Lorenza Saitta
23. Strategies in Identifying Issues Addressed in Legal Reports
Gilbert Ritschard, Matthias Studer, Vincent Pisetta
Part IX.Knowledge Extraction by Models
24. Sequential Automatic Search of a Subset of Classifiers in Multiclass Learning
Francesco Mola, Claudio Conversano
25. Possibilistic PLS Path Modeling: A New Approach to the Multigroup Comparison
Francesco Palumbo, Rosaria Romano
26. Models for Understanding Versus Models for Prediction
Gilbert Saporta
27. Posterior Prediction Modelling of Optimal Trees
Roberta Siciliano, Massimo Aria, Antonio D’Ambrosio
Part X.Model Selection Algorithms
28. Selecting Models Focussing on the Modeller’s Purpose
Jean-Patrick Baudry, Gilles Celeux, Jean-Michel Marin
29. A Regression Subset-Selection Strategy for Fat-Structure Data
Cristian Gatu, Marko Sysi-Aho, Matej Orešic
30. Fast Robust Variable Selection
Stefan Aelst, Jafar A. Khan, Ruben H. Zamar
Part XI.Models for Latent Class Detection
31. Latent Classes of Objects and Variable Selection
Giuliano Galimberti, Angela Montanari, Cinzia Viroli
32. Modelling Background Noise in Finite Mixtures of Generalized Linear Regression Models
Friedrich Leisch
33. Clustering via Mixture Regression Models with Random Effects
Geoffrey J. McLachlan, Shu Kay (Angus) Ng, Kui Wang
Part XII.Multiple Testing Procedures
34. Testing Effects in ANOVA Experiments: Direct Combination of All Pair-Wise Comparisons Using Constrained Synchronized Permutations
Dario Basso, Fortunato Pesarin, Luigi Salmaso
35. Multiple Comparison Procedures in Linear Models
Frank Bretz, Torsten Hothorn, Peter Westfall
36. Inference for the Top-
Peter Hall, Michael G. Schimek
Part XIII.Random Search Algorithms
37. Monitoring Random Start Forward Searches for Multivariate Data
Anthony C. Atkinson, Marco Riani, Andrea Cerioli
38. Generalized Differential Evolution for General Non-Linear Optimization
Saku Kukkonen, Jouni Lampinen
39. Statistical Properties of Differential Evolution and Related Random Search Algorithms
Daniela Zaharie
Part XIV.Robust Statistics
40. Robust Estimation of the Vector Autoregressive Model by a Least Trimmed Squares Procedure
Christophe Croux, Kristel Joossens
41. The Choice of the Initial Estimate for Computing MM-Estimates
Marcela Svarc, Víctor J. Yohai
42. Metropolis Versus Simulated Annealing and the Black-Box-Complexity of Optimization Problems
Ingo Wegener
Part XV.Signal Extraction and Filtering
43. Filters for Short Nonstationary Sequences: The Analysis of the Business Cycle
Stephen Pollock
44. Estimation of Common Factors Under Cross-Sectional and Temporal Aggregation Constraints: Nowcasting Monthly GDP and Its Main Components
Tommaso Proietti
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Nyckelord: MATHEMATICS / Probability & Statistics / General MAT029000
- Författare
- Brito, Paula
- Utgivare
- Springer
- Utgivningsår
- 2008
- Språk
- en
- Utgåva
- 1
- Kategori
- Naturvetenskaper
- Format
- E-bok
- eISBN (PDF)
- 9783790820843