Marc Yor used to say that “Bessel processes are everywhere”. Partly in [13] J. Pitman, M. Yor, Bessel processes and infinitely divisible laws. BESSEL PROCESSES AND INFINITELY DIVISIBLE LAWS by. Jim PITMAN and Marc YOR (n). 1. INTRODUCTION. In recent years there has been a renewed. Theorem (Lévy–Khintchine formula) A probability law µ of a real- . To conclude our introduction to Lévy processes and infinite divisible distribu- tions, let us .. for x ∈ R where α,δ > 0, β ≤ |α| and K1(x) is the modified Bessel function of.

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Lévy process

Translated from the Japanese original. A guided tour from measure theory to random processes, via conditioning. Classes of infinitely divisible distributions and densities.

An introduction to the theory of the Riemann zeta-function. Transient behavior of regulated Brownian motion. Probability theory and related fields 2, Probability Theory and Related Fields 1, A stochastic equation for the law of the random Dirichlet variance.

Jim Pitman – Google Scholar Citations

A class of infinitely bezsel random variables. Bulletin of the American Mathematical Society 38 4, Information References 52 Citations 0 Files Plots. Subordinators related to the exponential functionals of Brownian bridges and explicit formulae for the semigroups of hyperbolic Brownian motions.


Nonlinear threshold behavior during the loss of Arctic Sea ice – A treatise on the theory of Bessel functions. Generalized Gamma Convolutions, Dirichlet means, Thorin measures, with explicit examples. Theory Related Fields 85 — This “Cited by” count includes citations to the following articles in Scholar.

Lord Rayleigh Republished in Sci. The thickness distribution of sea ice – A unified nonlinear stochastic time series analysis for climate science – On the Markov—Krein identity and quasi—invariance of the gamma process.

The system can’t perform the operation now. Distributional results for random functionals of a Dirichlet process Ann. Random discrete distributions invariant under size-biased permutation J Pitman Advances in Applied Probability 28 2, On processses stochastic difference equation and a representation of non-negative infinitely divisible random variables. A parallel between Brownian bridges and gamma bridges.

Infinitely Divisible Laws Associated with Hyperbolic Functions

Nonzero initial conditions – An occupation time theorem for a class of stochastic processes. Solution of the Fokker-Planck equation with a logarithmic potential – AMS subject classifications: Articles 1—20 Show more. Applications in queuing and finance – Note that using the sine in Eq. A survey and some generalizations infinitdly Bessel processes – Seminar on Stochastic Processes, A stochastic perturbation theory for non-autonomous systems – Probability Theory and Related Fields 92 1, Exchangeable and partially exchangeable random partitions J Pitman Probability theory and related fields 2, Potential theory bessel special subordinators and subordinate killed stable processes.


The convex minorant of the Cauchy process. Here natural, absorbing and reflecting boundaries refer processfs boundaries where the probability density vanishes sufficiently fast to insure normalizationwith finite flux, or has zero flux, respectively. My profile My library Metrics Alerts. Distribution functions of means of a Dirichlet process. Some classes of multivariate infinitely divisible distribution admitting stochastic integral representations Bernoulli12p.

Jim Pitman – Citas de Google Académico

Bessel processes, Asian options, and perpetuities – Loop exponent in DNA bubble dynamics – divisiblle Linear functionals and Markov chains associated with Dirichlet processes. Bernoulli 9 2 Statistics, UC Berkeley, Extended Thorin classes and stochastic integrals. A Bayesian analysis of some nonparametric problems.