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The Random Walk Path of Pál Révész in Probability

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Information Theory, Probability and Statistics".

Deadline for manuscript submissions: 15 November 2024 | Viewed by 240

Special Issue Editors


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Guest Editor
Department of Mathematics, College of Staten Island, City University of New York, New York, NY 10314, USA
Interests: Brownian motion; random walk; local time; additive functionals; anisotropic random walk

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Guest Editor
Alfréd Rényi Institute of Mathematics, 1364 Budapest, Hungary
Interests: Brownian motion; random walk; local time; additive functionals; anisotropic random walk

Special Issue Information

Dear Colleagues,

Pál Révész, the world-renowned Hungarian probability theorist, passed away in 2022—he had been an extremely prolific mathematician, with 200 research papers and four books under his belt. A graduate of Eötvös Lóránd University, Révész spent decades as the head of the Probability Department of the Rényi Institute, before heading the Department of Statistics and Probability of the Vienna University of Technology. Additionally, he had been a visiting professor at numerous schools across Europe and Canada.

In 1982, he was selected to become a member of the Hungarian Academy and served as the president of the Bernoulli Society of Mathematical Statistics and Probability from 1983 to 1985, ultimately becoming a member of the Academy Europaea in 1991.

His groundbreaking work in many areas of probability theory are best reflected in the titles of his influential books: Laws of large numbers (1968), Strong approximation in Probability and Statistics (1981, together with Miklós Csörgő), Random Walks of Infinitely Many Particles (1990), and Random walk in Random and Non-Random Environments (1994, 2005, 2013).

As a person, he was beyond generous in his collaborations, always happy to talk about the problems he was working on. He listened with the same respect and curiosity whether talking to a famous professor or an eager student, and he loved being able to help a new generation of mathematicians.

Beyond mathematics, he loved classical music, long walks, and the company of friends, but he admitted that during the concerts and the long walks he was still working on mathematics in his head.

In this volume we seek to gather together the papers of his coworkers, friends, and colleagues to commemorate his life and his everlasting impact on probability theory. Submissions from people working on random walk topics, who feel that their research was influenced by the work of Pál Révész, are also welcome.

Prof. Dr. Antónia Földes
Prof. Dr. Endre Csáki
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • laws of large numbers
  • random walk
  • Wiener process
  • strong approximation of the random walks and its local time
  • anisotropic walk

Published Papers

This special issue is now open for submission, see below for planned papers.

Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Confirmed authors:

Prof. Istvan Berkes, Professor Emeritus, Alfréd Rényi Institute of Mathematics

Prof. Miklós Csörgő, Professor Emeritus, Distinguished Research Professor, School of Mathematics and Statistics, Carleton University

Prof. Anirban DasGupta, Department of Statistics, Purdue University

Prof. Paul Deheuvels,  member of the French Academy of Sciences, former Director of the Institute of Statistics at the University of Paris, and the Laboratory of Theoretical and Applied Statistics

Prof. István Fazekas, Department of Applied Mathematics and Probability Theory, Faculty of Informatics, University of Debrecen, Hungary

Prof. Karl Grill, Vienna University of Technology

Prof. Yueyun Hu, LAGA, Sorbonne Paris Nord University

Prof. Davar Khoshnevisan,  Department of Mathematics, The University of Utah

Prof. Jay Rosen, Distinguished Professor, the City University of New York

Prof. Paavo H. Salminen, Department of Mathematics and Statistics, Åbo Akademi University

Prof. Qiman Shao, Department of Statistics and Data Science, Southern University of Science and Technology, China

Prof. Zhan Shi, Visiting Professor at NYU Shanghai and Professor at Université Pierre et Marie Curie Paris VI

Prof. Domokos Szász, Budapest University of Technology and Economics, Budapest, Hungary

Prof. Bálint Tóth, Professor of Probability (Heilbronn Chair) at the School of Mathematics, University of Bristol;  Research Professor at the Alfréd Rényi Institute of Mathematics
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