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Probability laws related to the Jacobi theta and Riemann zeta functions, and Brownian excursions

TLDR
In this paper, a review of known results which connect Riemann's integral representations of his zeta function, involving Jacobi's theta function and its derivatives, to some particular probability laws governing sums of independent exponential variables is presented.

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Book

Analytic Combinatorics

TL;DR: This text can be used as the basis for an advanced undergraduate or a graduate course on the subject, or for self-study, and is certain to become the definitive reference on the topic.
Book

Lévy Processes and Stochastic Calculus

TL;DR: In this paper, the authors present a general theory of Levy processes and a stochastic calculus for Levy processes in a direct and accessible way, including necessary and sufficient conditions for Levy process to have finite moments.
BookDOI

Combinatorial Stochastic Processes

Jim Pitman
TL;DR: In this paper, the Brownian forest and the additive coalescent were constructed for random walks and random forests, respectively, and the Bessel process was used for random mappings.
Journal ArticleDOI

The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator

Jim Pitman, +1 more
TL;DR: The two-parameter Poisson-Dirichlet distribution with a single parameter is known as the size-biased random permutation (SBNP) as discussed by the authors, which was introduced by Engen in the context of species diversity and rediscovered by Perman and the authors in the study of excursions of Bessel processes.
Journal ArticleDOI

Bayesian Inference for Logistic Models Using Pólya–Gamma Latent Variables

TL;DR: A new data-augmentation strategy for fully Bayesian inference in models with binomial likelihoods is proposed, which appeals to a new class of Pólya–Gamma distributions, which are constructed in detail.
References
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Book

Convergence of Probability Measures

TL;DR: Weak Convergence in Metric Spaces as discussed by the authors is one of the most common modes of convergence in metric spaces, and it can be seen as a form of weak convergence in metric space.
Book

Continuous martingales and Brownian motion

Daniel Revuz, +1 more
TL;DR: In this article, the authors present a comprehensive survey of the literature on limit theorems in distribution in function spaces, including Girsanov's Theorem, Bessel Processes, and Ray-Knight Theorem.
Book

Enumerative Combinatorics

R P Stanley