Proceedings of COMPSTAT'2010

Lechevallier, Yves; Saporta, Gilbert

Proceedings of COMPSTAT'2010

Edited by Yves Lechevallier () and Gilbert Saporta ()

in Springer Books from Springer

Date: 2010
ISBN: 978-3-7908-2604-3
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Chapters in this book:

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

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DOI: 10.1007/978-3-7908-2604-3

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