Stat trek. An interview with Christian Genest
From MaRDI portal
Publication:325009
DOI10.1515/demo-2016-0005zbMath1403.62003OpenAlexW2352582099MaRDI QIDQ325009
Giovanni Puccetti, Matthias Scherer, Steven Vanduffel, Fabrizio Durante
Publication date: 17 October 2016
Published in: Dependence Modeling (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1515/demo-2016-0005
Characterization and structure theory for multivariate probability distributions; copulas (62H05) Biographies, obituaries, personalia, bibliographies (01A70) History of statistics (62-03)
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Cites Work
- Goodness-of-fit tests for copulas: A review and a power study
- On the empirical multilinear copula process for count data
- Maty's biography of Abraham de Moivre, translated, annotated and augmented
- Validity of the parametric bootstrap for goodness-of-fit testing in semiparametric models
- Rank-based inference for bivariate extreme-value copulas
- On rank correlation measures for non-continuous random variables
- Asymptotic local efficiency of Cramér\,-\,von Mises tests for multivariate independence
- Combining probability distributions: A critique and an annotated bibliography
- Characterization of externally Bayesian pooling operators
- Modeling expert judgements for Bayesian updating
- Set theory. An introduction to independence proofs
- On nonparametric measures of dependence for random variables
- A scaling method for priorities in hierarchical structures
- An introduction to copulas. Properties and applications
- On a proposal of Jensen for the analysis of ordinal pairwise preferences using Saaty's eigenvector scaling method
- A statistical look at Saaty's method of estimating pairwise preferences expressed on a ratio scale
- Compound Poisson approximations for individual models with dependent risks.
- A history of the Statistical Society of Canada: The formative years. (With comments).
- On Kendall's process
- Tests of independence and randomness based on the empirical copula process
- Copulas: Tales and facts (with discussion)
- Statistical Inference Procedures for Bivariate Archimedean Copulas
- Goodness-of-fit Procedures for Copula Models Based on the Probability Integral Transformation
- Copules archimédiennes et families de lois bidimensionnelles dont les marges sont données
- Frank's family of bivariate distributions
- Prospect Theory: An Analysis of Decision under Risk
- Inferences on the Association Parameter in Copula Models for Bivariate Survival Data
- A nonparametric estimation procedure for bivariate extreme value copulas
- Kendall's tau for serial dependence
- Criteria for the Stochastic Ordering of Random Sums, with Actuarial Applications
- Worldwide research output in probability and statistics: An update
- A semiparametric estimation procedure of dependence parameters in multivariate families of distributions
- Statistics in Action
- Past, Present, and Future of Statistical Science
- A Primer on Copulas for Count Data
- Understanding Relationships Using Copulas
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