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On Stein's Method for Infinitely Divisible Laws with Finite First Moment

Topics in Infinitely Divisible Distributions and Levy Processes, Revised Edition

Zero-Sum Discrete-Time Markov Games with Unknown Disturbance Distribution : Discounted and Average Criteria

Asymptotic Properties of Permanental Sequences : Related to Birth and Death Processes and Autoregressive Gaussian Sequences

High-Dimensional Covariance Matrix Estimation : An Introduction to Random Matrix Theory

Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference

An Invitation to Statistics in Wasserstein Space

Fundamentals of Statistical Inference : What is the Meaning of Random Error?

Mod-? Convergence : Normality Zones and Precise Deviations

Analytic Theory of Ito-Stochastic Differential Equations with Non-smooth Coefficients

SPSS for starters. - Part 2

On Stein's method for infinitely divisible laws with finite first moment

Topics in Infinitely Divisible Distributions and Levy Processes, Revised Edition

Zero-Sum Discrete-Time Markov Games With Unknown Disturbance Distribution: Discounted and Average Criteria

Non-Gaussian Selfsimilar Stochastic Processes

Non-Gaussian Selfsimilar Stochastic Processes

Asymptotic Properties of Permanental Sequences: Related to Birth and Death Processes and Autoregressive Gaussian Sequences

Concentration of Maxima and Fundamental Limits in High-Dimensional Testing and Inference

An Invitation to Statistics in Wasserstein Space

Mod-I Convergence: Normality Zones and Precise Deviations

Mod-Ï• Convergence : Normality Zones and Precise Deviations

Regularity and Irregularity of Superprocesses with (1 + )-stable Branching Mechanism

Regularity and Irregularity of Superprocesses with (1 + )-stable Branching Mechanism

Path Coupling and Aggregate Path Coupling

Analytic Theory of Ito-Stochastic Differential Equations With Non-Smooth Coefficients

Poisson Point Processes and Their Application to Markov Processes

Poisson point processes and their application to Markov processes - 1

Poisson Point Processes and Their Application to Markov Processes

Lectures on Random Interfaces

Lectures on Random Interfaces - 2

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