It also provides the mathematical theory behind them, proving their great potential in a large number of settings. Both the methods and theory are then illustrated with real data examples.
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Selected works of Willem van Zwet by Willem R. The selection was based on discussions with Willem, and aims at a representative sample. The result is a collection of papers that the new generations of statisticians should not be denied. They are here to stay, to enjoy and to form the basis for further research.
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The papers are grouped into six themes: fundamental statistics, asymptotic theory, second-order approximations, resampling, applications, and probability. This volume serves as basic reference for fundamental statistical theory, and at the same time reveals some of its history. It also provides a semi-parametric approach to establishing confidence intervals and tests.
Sparsity-inducing methods have proven to be very useful in the analysis of high-dimensional data.
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Examples include the Lasso and group Lasso methods, and the least squares method with other norm-penalties, such as the nuclear norm. The illustrations provided include generalized linear models, density estimation, matrix completion and sparse principal components.
Each chapter ends with a problem section. The book can be used as a textbook for a graduate or PhD course. Applications of empirical process theory by S. Lectures on empirical processes : theory and statistical applications by Eustasio Del Barrio Book 12 editions published in in English and held by WorldCat member libraries worldwide "The three sets of lecture notes in the book offer a wide panorama of contemporary empirical processes theory.
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Some Remarks on the Two-Armed Bandit. Chapter 4 Discussion of three statistics papers by Willem van Zwet. Asymptotic Normality of Nonparametric Tests for Independence.
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Ruymgaart, G. Shorack, W. A Note on Contiguity and Hellinger Distance. Klaassen, A. A Remark on Consistent Estimation.go to site
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Chapter 10 Finite samples and asymptotics. On Efficiency of First and Second Order. Bickel, D.