MATHEMATICAL STATISTICS AND LIMIT THEOREMS. FESTSCHRIFT IN HONOUR OF PAUL DEHEUVELS

1. Paul Deheuvels: Mentor, Advocate for Statistics, and Applied Statistician
2. Lacunary Series and Stable Distributions
3. High-Dimensional
4. Estimating and Detecting Jumps. Applications to
5. A Sharp Abelian Theorem for the Laplace Transform
6. On Bahadur–Kiefer Type Processes for Sums and Renewals in Dependent Cases
7. Reduced-Bias Estimator of the Conditional Tail Expectation of Heavy-Tailed Distributions
8. On Sequential Empirical Distribution Functions for Random Variables with Mean Zero
9. On Quadratic Expansions of Log-Likelihoods and a General Asymptotic Linearity Result
10. Asymptotic Normality of Binned Kernel Density Estimators for Non-stationary Dependent Random Variables
11. Approximation of a Random Process with Variable Smoothness
12. A Cramér–von Mises Test for Gaussian Processes
13. New
14. Optimal Rank-Based Tests for the Location Parameter of a Rotationally Symmetric Distribution on the Hypersphere
15. Some Extensions of Singular Mixture Copulas
16. Strong Laws of Large Numbers in an
17. On Two Results of P. Deheuvels
18. Some Topics in Probability Theory

This Festschrift in honour of Paul Deheuvels’ 65th birthday compiles recent research results in the area between mathematical statistics and probability theory with a special emphasis on limit theorems. The book brings together contributions from invited international experts to provide an up-to-date survey of the field.
Written in textbook style, this collection of original material addresses researchers, PhD and advanced Master students with a solid grasp of mathematical statistics and probability theory.

Features
• A modern compilation of research results in the intersection of mathematical statistics and probability theory
• With a special focus on limit theorems
• Gives a broad survey over new results in the field