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19th COMPSTAT 2010: Paris, France
- Yves Lechevallier, Gilbert Saporta:
19th International Conference on Computational Statistics, COMPSTAT 2010, Paris, France, August 22-27, 2010 - Keynote, Invited and Contributed Papers. Physica-Verlag 2010, ISBN 978-3-7908-2603-6 - Luc Devroye:
Complexity Questions in Non-Uniform Random Variate Generation. 3-18 - Lutz Edler, Christina Wunder, Wiebke Werft, Axel Benner:
Computational Statistics Solutions for Molecular Biomedical Research: A Challenge and Chance for Both. 19-32 - David J. Hand:
The Laws of Coincidence. 33-43 - Michael G. B. Blum:
Choosing the Summary Statistics and the Acceptance Rate in Approximate Bayesian Computation. 47-56 - Andrea Sottoriva, Simon Tavaré:
Integrating Approximate Bayesian Computation with Complex Agent-Based Models for Cancer Research. 57-66 - Claudio Agostinelli, Matías Salibián Barrera:
Robust Model Selection with LARS Based on S-estimators. 69-78 - Peter Filzmoser, Karel Hron:
Robust Methods for Compositional Data. 79-88 - Anne Ruiz-Gazen, Souad Larabi Marie-Sainte, Alain Berro:
Detecting Multivariate Outliers Using Projection Pursuit with Particle Swarm Optimization. 89-98 - Jean-Baptiste Poline, Christophe Lalanne, Arthur Tenenhaus, Edouard Duchesnay, Bertrand Thirion, Vincent Frouin:
Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges. 101-110 - Stephen C. Strother, Anita Oder, Robyn Spring, Cheryl L. Grady:
The NPAIRS Computational Statistics Framework for Data Analysis in Neuroimaging. 111-120 - Alejandro F. Rodríguez, Esther Ruiz:
Bootstrap Prediction in Unobserved Component Models. 123-131 - Hansjörg Albrecher, Sandra Haas:
A Numerical Approach to Ruin Models with Excess of Loss Reinsurance and Reinstatements. 135-144 - Vincent Goulet:
Computation of the Aggregate Claim Amount Distribution Using R and Actuar. 145-154 - Stefan Lang, Nikolaus Umlauf:
Applications of Multilevel Structured Additive Regression Models to Insurance Data. 155-164 - Niall M. Adams, Dimitris K. Tasoulis, Christoforos Anagnostopoulos, David J. Hand:
Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring. 167-176 - Léon Bottou:
Large-Scale Machine Learning with Stochastic Gradient Descent. 177-186 - Cristian Preda, Gilbert Saporta, Mohamed Hadj Mbarek:
Anticipated and Adaptive Prediction in Functional Discriminant Analysis. 189-198 - Wenceslao González-Manteiga, Adela Martínez-Calvo:
Bootstrap Calibration in Functional Linear Regression Models with Applications. 199-207 - Hans-Georg Müller:
Empirical Dynamics and Functional Data Analysis. 209-218 - Bernard Haasdonk, Elzbieta Pekalska:
Indefinite Kernel Discriminant Analysis. 221-230 - John Shawe-Taylor, Emilio Parrado-Hernández, Amiran Ambroladze:
Data Dependent Priors in PAC-Bayes Bounds. 231-240 - Laurent Bordes, Didier Chauveau:
Some Algorithms to Fit some Reliability Mixture Models under Censoring. 243-252 - Emmanuel Yashchin:
Computational and Monte-Carlo Aspects of Systems for Monitoring Reliability Data. 253-262 - Sandra Paterlini:
Evolutionary Computation for Modelling and Optimization in Finance. 265-274 - John Molitor, Léa Fortunato, Nuoo-Ting Molitor, Sylvia Richardson:
Examining the Association between Deprivation Profiles and Air Pollution in Greater London using Bayesian Dirichlet Process Mixture Models. 277-283 - Linda J. Young, Carol A. Gotway, Kenneth K. Lopiano, Greg Kearney, Chris DuClos:
Assessing the Association between Environmental Exposures and Human Health. 285-294 - Byeongchan Seong, Sung K. Ahn, Sinsup Cho:
Semiparametric Seasonal Cointegrating Rank Selection. 297-304 - Jiazhu Pan, Wolfgang Polonik, Qiwei Yao:
Estimating Factor Models for Multivariate Volatilities: An Innovation Expansion Method. 305-314 - Tsunehiro Ishihara, Yasuhiro Omori:
Multivariate Stochastic Volatility Model with Cross Leverage. 315-323 - Kai Labusch, Erhardt Barth, Thomas Martinetz:
Bag of Pursuits and Neural Gas for Improved Sparse Coding. 327-336 - John A. Lee, Michel Verleysen:
On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding. 337-346 - Iven Van Mechelen, Katrijn Van Deun:
Multiple Nested Reductions of Single Data Modes as a Tool to Deal with Large Data Sets. 349-358 - Marieke E. Timmerman, Eva Ceulemans:
The Generic Subspace Clustering Model. 359-367 - Donatella Vicari, Marco Alfò:
Clustering Discrete Choice Data. 369-378 - Nazrina Aziz, Dong Qian Wang:
Application of Local Influence Diagnostics to the Buckley-James Model. 381-388 - Stéphanie Bougeard, Mostafa El Qannari, Claire Chauvin:
Multiblock Method for Categorical Variables. Application to the Study of Antibiotic Resistance. 389-396 - Serena Broccoli, Giulia Cavrini:
A Flexible IRT Model for Health Questionnaire: an Application to HRQoL. 397-404 - Xavier Bry, Thomas Verron, Patrick Redont:
Multidimensional Exploratory Analysis of a Structural Model Using a Class of Generalized Covariance Criteria. 405-412 - Hervé Cardot, Alain Dessertaine, Etienne Josserand:
Semiparametric Models with Functional Responses in a Model Assisted Survey Sampling Setting : Model Assisted Estimation of Electricity Consumption Curves. 413-420 - Hervé Cardot, Peggy Cénac, Mohamed Chaouch:
Stochastic Approximation for Multivariate and Functional Median. 421-428 - Rosella Castellano, Luisa Scaccia:
A Markov Switching Re-evaluation of Event-Study Methodology. 429-436 - Yuk-Ka Chung, Yue-Qing Hu, De-Gang Zhu, Wing Kam Fung:
Evaluation of DNA Mixtures Accounting for Sampling Variability. 437-444 - Roberto Colombi, Sabrina Giordano:
Monotone Graphical Multivariate Markov Chains. 445-452 - G. Damiana Costanzo, S. De Bartolo, Francesco Dell'Accio, G. Trombetta:
Using Observed Functional Data to Simulate a Stochastic Process via a Random Multiplicative Cascade Model. 453-460 - Francisco de A. T. de Carvalho, Gilbert Saporta, Danilo N. Queiroz:
A Clusterwise Center and Range Regression Model for Interval-Valued Data. 461-468 - Séverine Demeyer, Nicolas Fischer, Gilbert Saporta:
Contributions to Bayesian Structural Equation Modeling. 469-476 - Antoine de Falguerolles:
Some Examples of Statistical Computing in France During the 19th Century. 477-484 - Meelis Käärik, Ene Käärik:
Imputation by Gaussian Copula Model with an Application to Incomplete Customer Satisfaction Data. 485-492 - Kuniyoshi Hayashi, Hiroyuki Minami, Masahiro Mizuta:
On Multiple-Case Diagnostics in Linear Subspace Method. 493-500 - Marie Husková, Claudia Kirch, Simos G. Meintanis:
Fourier Methods for Sequential Change Point Analysis in Autoregressive Models. 501-508 - Géraldine Laurent, Cédric Heuchenne:
Computational Treatment of the Error Distribution in Nonparametric Regression with Right-Censored and Selection-Biased Data. 509-516 - Paul H. Lee, Philip L. H. Yu:
Mixtures of Weighted Distance-Based Models for Ranking Data. 517-524 - Jin Rou New, Eldin Wee Chuan Lim:
Fourier Analysis and Swarm Intelligence for Stochastic Optimization of Discrete Functions. 525-532 - José Antonio Roldán Nofuentes, Juan de Dios Luna del Castillo, M. A. Montero Alonso:
Global Hypothesis Test to Simultaneously Compare the Predictive Values of Two Binary Diagnostic Tests in Paired Designs: a Simulation Study. 533-540 - Stefan Mittnik, Sandra Paterlini, Tina Yener:
Modeling Operational Risk: Estimation and Effects of Dependencies. 541-548 - Raphaël Mourad, Christine Sinoquet, Philippe Leray:
Learning Hierarchical Bayesian Networks for Genome-Wide Association Studies. 549-556 - Guillem Rigaill, Emilie Lebarbier, Stéphane Robin:
Exact Posterior Distributions over the Segmentation Space and Model Selection for Multiple Change-Point Detection Problems. 557-564 - Bertrand Thirion, Alan Tucholka, Jean-Baptiste Poline:
Parcellation Schemes and Statistical Tests to Detect Active Regions on the Cortical Surface. 565-572 - Stefan Van Aelst, Ellen Vandervieren, Gert Willems:
Robust Principal Component Analysis Based on Pairwise Correlation Estimators. 573-580 - Rosanna Verde, Antonio Irpino:
Ordinary Least Squares for Histogram Data Based on Wasserstein Distance. 581-588 - Tim Verdonck, Mia Hubert, Peter J. Rousseeuw:
DetMCD in a Calibration Framework. 589-596 - Jianhua Zhao, Philip L. H. Yu, Shulan Li:
Separable Two-Dimensional Linear Discriminant Analysis. 597-604 - Yves Lechevallier, Gilbert Saporta:
List of Supplementary Contributed and Invited Papers Only Available on springerlink.com. 605-616
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