1. The Law of the Logarithm for Weighted Sums of Independent Random Variables

   • D. Li
   • R. J. Tomkins

   OriginalPaper Pages: 519 - 542

2. Central Limit Theorems for Exchangeable Random Variables When Limits Are Scale Mixtures of Normals

   • Xinxin Jiang
   • Marjorie G. Hahn

   OriginalPaper Pages: 543 - 571

3. Stable and Semistable Hemigroups: Domains of Attraction and Self-Decomposability

   • Peter Becker-Kern

   OriginalPaper Pages: 573 - 598

4. Permutation Matrices, Wreath Products, and the Distribution of Eigenvalues

   • Kelly Wieand

   OriginalPaper Pages: 599 - 623

5. On the Central Limit Theorem and Its Weak Invariance Principle for Strongly Mixing Sequences with Values in a Hilbert Space via Martingale Approximation

   • Florence Merlevède

   OriginalPaper Pages: 625 - 653

6. Cesàro α-Integrability and Laws of Large Numbers I

   • T. K. Chandra
   • A. Goswami

   OriginalPaper Pages: 655 - 669

7. Geometric Convergence Rates for Time-Sampled Markov Chains

   • Jeffrey S. Rosenthal

   OriginalPaper Pages: 671 - 688

8. On Large Deviation Convergence of Invariant Measures

   • Anatolii A. Puhalskii

   OriginalPaper Pages: 689 - 724

9. Shuffling Chromosomes

   • Rick Durrett

   OriginalPaper Pages: 725 - 750

10. A Local Limit Theorem for a Family of Non-Reversible Markov Chains

    • Elizabeth L. Wilmer

    OriginalPaper Pages: 751 - 770

11. Tail Properties of Correlation Measures

    • Thomas M. Lewis
    • Geoffrey Pritchard

    OriginalPaper Pages: 771 - 788