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RSSProceedings of COMPSTAT'2010 | ||||||||||||||||||||||
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| Table of contents 1. Complexity Questions in Non-Uniform Random Variate Generation Luc Devroye 2. Computational Statistics Solutions for Molecular Biomedical Research: A Challenge and Chance for Both Lutz Edler, Christina Wunder, Wiebke Werft, Axel Benner 3. The Laws of Coincidence David J. Hand 4. Choosing the Summary Statistics and the Acceptance Rate in Approximate Bayesian Computation Michael G.B. Blum 5. Integrating Approximate Bayesian Computation with Complex Agent-Based Models for Cancer Research Andrea Sottoriva, Simon Tavaré 6. Robust Model Selection with LARS Based on S-estimators Claudio Agostinelli, Matias Salibian-Barrera 7. Robust Methods for Compositional Data Peter Filzmoser, Karel Hron 8. Detecting Multivariate Outliers Using Projection Pursuit with Particle Swarm Optimization Anne Ruiz-Gazen, Souad Larabi Marie-Sainte, Alain Berro 9. Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges Jean-Baptiste Poline, Christophe Lalanne, Arthur Tenenhaus, Edouard Duchesnay, Bertrand Thirion, Vincent Frouin 10. The NPAIRS Computational Statistics Framework for Data Analysis in Neuroimaging Stephen Strother, Anita Oder, Robyn Spring, Cheryl Grady 11. Bootstrap Prediction in Unobserved Component Models Alejandro F. Rodríguez, Esther Ruiz 12. A Numerical Approach to Ruin Models with Excess of Loss Reinsurance and Reinstatements * Hansjörg Albrecher, Sandra Haas 13. Computation of the Aggregate Claim Amount Distribution Using R and Actuar Vincent Goulet 14. Applications of Multilevel Structured Additive Regression Models to Insurance Data Stefan Lang, Nikolaus Umlauf 15. Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring Niall M. Adams, Dimitris K. Tasoulis, Christoforos Anagnostopoulos, David J. Hand 16. Large-Scale Machine Learning with Stochastic Gradient Descent Léon Bottou 17. Anticipated and Adaptive Prediction in Functional Discriminant Analysis Cristian Preda, Gilbert Saporta, Mohamed Hadj Mbarek 18. Bootstrap Calibration in Functional Linear Regression Models with Applications Wenceslao González-Manteiga, Adela Martínez-Calvo 19. Empirical Dynamics and Functional Data Analysis Hans-Georg Müller 20. Indefinite Kernel Discriminant Analysis Bernard Haasdonk, Elżbieta Pȩkalska 21. Data Dependent Priors in PAC-Bayes Bounds John Shawe-Taylor, Emilio Parrado-Hernández, Amiran Ambroladze 22. Some Algorithms to Fit some Reliability Mixture Models under Censoring Laurent Bordes, Didier Chauveau 23. Computational and Monte-Carlo Aspects of Systems for Monitoring Reliability Data Emmanuel Yashchin 24. Evolutionary Computation for Modelling and Optimization in Finance Sandra Paterlini 25. Examining the Association between Deprivation Profiles and Air Pollution in Greater London using Bayesian Dirichlet Process Mixture Models John Molitor, Léa Fortunato, Nuoo-Ting Molitor, Sylvia Richardson 26. Assessing the Association between Environmental Exposures and Human Health Linda J. Young, Carol A. Gotway, Kenneth K. Lopiano, Greg Kearney, Chris DuClos 27. Semiparametric Seasonal Cointegrating Rank Selection Byeongchan Seong, Sung K. Ahn, Sinsup Cho 28. Estimating Factor Models for Multivariate Volatilities: An Innovation Expansion Method Jiazhu Pan, Wolfgang Polonik, Qiwei Yao 29. Multivariate Stochastic Volatility Model with Cross Leverage Tsunehiro Ishihara, Yasuhiro Omori 30. Bag of Pursuits and Neural Gas for Improved Sparse Coding Kai Labusch, Erhardt Barth, Thomas Martinetz 31. On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding John A. Lee, Michel Verleysen 32. Multiple Nested Reductions of Single Data Modes as a Tool to Deal with Large Data Sets Iven Mechelen, Katrijn Deun 33. The Generic Subspace Clustering Model Marieke E. Timmerman, Eva Ceulemans 34. Clustering Discrete Choice Data Donatella Vicari, Marco Alfò 35. Application of Local Influence Diagnostics to the Buckley-James Model Nazrina Aziz, Dong Qian Wang 36. Multiblock Method for Categorical Variables. Application to the Study of Antibiotic Resistance Stéphanie Bougeard, El Mostafa Qannari, Claire Chauvin 37. A Flexible IRT Model for Health Questionnaire: an Application to HRQoL Serena Broccoli, Giulia Cavrini 38. Multidimensional Exploratory Analysis of a Structural Model Using a Class of Generalized Covariance Criteria Xavier Bry, Thomas Verron, Patrick Redont 39. Semiparametric Models with Functional Responses in a Model Assisted Survey Sampling Setting : Model Assisted Estimation of Electricity Consumption Curves Hervé Cardot, Alain Dessertaine, Etienne Josserand 40. Stochastic Approximation for Multivariate and Functional Median Hervé Cardot, Peggy Cénac, Mohamed Chaouch 41. A Markov Switching Re-evaluation of Event-Study Methodology Rosella Castellano, Luisa Scaccia 42. Evaluation of DNA Mixtures Accounting for Sampling Variability Yuk-Ka Chung, Yue-Qing Hu, De-Gang Zhu, Wing K. Fung 43. Monotone Graphical Multivariate Markov Chains Roberto Colombi, Sabrina Giordano 44. Using Observed Functional Data to Simulate a Stochastic Process via a Random Multiplicative Cascade Model G. Damiana Costanzo, S. Bartolo, F. Dell’Accio, G. Trombetta 45. A Clusterwise Center and Range Regression Model for Interval-Valued Data Francisco de A.T. Carvalho, Gilbert Saporta, Danilo N. Queiroz 46. Contributions to Bayesian Structural Equation Modeling Séverine Demeyer, Nicolas Fischer, Gilbert Saporta 47. Some Examples of Statistical Computing in France During the 19th Century Antoine Falguerolles 48. Imputation by Gaussian Copula Model with an Application to Incomplete Customer Satisfaction Data Meelis Käärik, Ene Käärik 49. On Multiple-Case Diagnostics in Linear Subspace Method Kuniyoshi Hayashi, Hiroyuki Minami, Masahiro Mizuta 50. Fourier Methods for Sequential Change Point Analysis in Autoregressive Models Marie Hušková, Claudia Kirch, Simos G. Meintanis 51. Computational Treatment of the Error Distribution in Nonparametric Regression with Right-Censored and Selection-Biased Data Géraldine Laurent, Cédric Heuchenne 52. Mixtures of Weighted Distance-Based Models for Ranking Data Paul H. Lee, Philip L. H. Yu 53. Fourier Analysis and Swarm Intelligence for Stochastic Optimization of Discrete Functions Jin Rou New, Eldin Wee Chuan Lim 54. Global Hypothesis Test to Simultaneously Compare the Predictive Values of Two Binary Diagnostic Tests in Paired Designs: a Simulation Study J. A. Roldán Nofuentes, J. D. Luna Castillo, M. A. Montero Alonso 55. Modeling Operational Risk: Estimation and Effects of Dependencies Stefan Mittnik, Sandra Paterlini, Tina Yener 56. Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies Raphaël Mourad, Christine Sinoquet, Philippe Leray 57. Exact Posterior Distributions over the Segmentation Space and Model Selection for Multiple Change-Point Detection Problems G. Rigaill, E. Lebarbier, S. Robin 58. Parcellation Schemes and Statistical Tests to Detect Active Regions on the Cortical Surface Bertrand Thirion, Alan Tucholka, Jean-Baptiste Poline 59. Robust Principal Component Analysis Based on Pairwise Correlation Estimators Stefan Aelst, Ellen Vandervieren, Gert Willems 60. Ordinary Least Squares for Histogram Data Based on Wasserstein Distance Rosanna Verde, Antonio Irpino 61. DetMCD in a Calibration Framework Tim Verdonck, Mia Hubert, Peter J. Rousseeuw 62. Separable Two-Dimensional Linear Discriminant Analysis Jianhua Zhao, Philip L.H. Yu, Shulan Li 63. List of Supplementary Contributed and Invited Papers Only Available on springerlink.com Yves Lechevallier, Gilbert Saporta | ||||||||||||||||||||||
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