Doeblin and Modern Probability

Doeblin and Modern Probability
Author: Harry Cohn
Publisher: American Mathematical Soc.
Total Pages: 362
Release: 1993
Genre: Mathematics
ISBN: 0821851497

Wolfgang Doeblin, one of the greatest probabilists of this century, died in action during World War II at the age of twenty-five. He left behind several seminal contributions which have profoundly influenced the field and continue to provide inspiration for current research. This book is based on papers presented at the conference, `Fifty Years after Doeblin: Developments in the Theory of Markov Chains, Markov Processes, and Sums of Random Variables', held at Blaubeuren, Germany, in November 1991. Presented here for the first time is an account of Doeblin's life and work, revealing the circumstances of his tragic death in 1940. Organized into sections according to topic, the papers describe both Doeblin's original contributions as well as current developments. With contributions by top probabilists from sixteen countries, this book will interest both researchers in probability and science historians.

Rockefeller and the Internationalization of Mathematics Between the Two World Wars

Rockefeller and the Internationalization of Mathematics Between the Two World Wars
Author: Reinhard Siegmund-Schultze
Publisher: Birkhäuser
Total Pages: 364
Release: 2012-12-06
Genre: Mathematics
ISBN: 3034882890

Philanthropic societies funded by the Rockefeller family were prominent in the social history of the twentieth century, for their involvement in medicine and applied science. This book provides the first detailed study of their relatively brief but nonetheless influential foray into the field of mathematics.

Functional Gaussian Approximation for Dependent Structures

Functional Gaussian Approximation for Dependent Structures
Author: Florence Merlevède
Publisher: Oxford University Press
Total Pages: 496
Release: 2019-02-14
Genre: Mathematics
ISBN: 0192561863

Functional Gaussian Approximation for Dependent Structures develops and analyses mathematical models for phenomena that evolve in time and influence each another. It provides a better understanding of the structure and asymptotic behaviour of stochastic processes. Two approaches are taken. Firstly, the authors present tools for dealing with the dependent structures used to obtain normal approximations. Secondly, they apply normal approximations to various examples. The main tools consist of inequalities for dependent sequences of random variables, leading to limit theorems, including the functional central limit theorem and functional moderate deviation principle. The results point out large classes of dependent random variables which satisfy invariance principles, making possible the statistical study of data coming from stochastic processes both with short and long memory. The dependence structures considered throughout the book include the traditional mixing structures, martingale-like structures, and weakly negatively dependent structures, which link the notion of mixing to the notions of association and negative dependence. Several applications are carefully selected to exhibit the importance of the theoretical results. They include random walks in random scenery and determinantal processes. In addition, due to their importance in analysing new data in economics, linear processes with dependent innovations will also be considered and analysed.

The Splendors and Miseries of Martingales

The Splendors and Miseries of Martingales
Author: Laurent Mazliak
Publisher: Springer Nature
Total Pages: 419
Release: 2022-10-17
Genre: Mathematics
ISBN: 3031059883

Over the past eighty years, martingales have become central in the mathematics of randomness. They appear in the general theory of stochastic processes, in the algorithmic theory of randomness, and in some branches of mathematical statistics. Yet little has been written about the history of this evolution. This book explores some of the territory that the history of the concept of martingales has transformed. The historian of martingales faces an immense task. We can find traces of martingale thinking at the very beginning of probability theory, because this theory was related to gambling, and the evolution of a gambler’s holdings as a result of following a particular strategy can always be understood as a martingale. More recently, in the second half of the twentieth century, martingales became important in the theory of stochastic processes at the very same time that stochastic processes were becoming increasingly important in probability, statistics and more generally in various applied situations. Moreover, a history of martingales, like a history of any other branch of mathematics, must go far beyond an account of mathematical ideas and techniques. It must explore the context in which the evolution of ideas took place: the broader intellectual milieux of the actors, the networks that already existed or were created by the research, even the social and political conditions that favored or hampered the circulation and adoption of certain ideas. This books presents a stroll through this history, in part a guided tour, in part a random walk. First, historical studies on the period from 1920 to 1950 are presented, when martingales emerged as a distinct mathematical concept. Then insights on the period from 1950 into the 1980s are offered, when the concept showed its value in stochastic processes, mathematical statistics, algorithmic randomness and various applications.

Comparisons of Stochastic Matrices with Applications in Information Theory, Statistics, Economics and Population

Comparisons of Stochastic Matrices with Applications in Information Theory, Statistics, Economics and Population
Author: JOEL COHEN
Publisher: Springer Science & Business Media
Total Pages: 170
Release: 1998-09-29
Genre: Mathematics
ISBN: 9780817640828

Some of the possible implications among these comparisons remain open questions. The results in this book establish a new field of investigation for both mathematicians and scientific users interested in the variations among multiple probability distributions.

Selected Works of Murray Rosenblatt

Selected Works of Murray Rosenblatt
Author: Richard A. Davis
Publisher: Springer Science & Business Media
Total Pages: 489
Release: 2011-05-06
Genre: Mathematics
ISBN: 1441983392

During the second half of the 20th century, Murray Rosenblatt was one of the most celebrated and leading figures in probability and statistics. Among his many contributions, Rosenblatt conducted seminal work on density estimation, central limit theorems under strong mixing conditions, spectral domain methodology, long memory processes and Markov processes. He has published over 130 papers and 5 books, many as relevant today as when they first appeared decades ago. Murray Rosenblatt was one of the founding members of the Department of Mathematics at the University of California at San Diego (UCSD) and served as advisor to over twenty PhD students. He maintains a close association with UCSD in his role as Professor Emeritus. This volume is a celebration of Murray Rosenblatt's stellar research career that spans over six decades, and includes some of his most interesting and influential papers. Several leading experts provide commentary and reflections on various directions of Murray's research portfolio.

In the Shadow of Zion

In the Shadow of Zion
Author: Adam Rovner
Publisher: NYU Press
Total Pages: 340
Release: 2014-12-12
Genre: History
ISBN: 1479817481

From the late nineteenth century through the post-Holocaust era, the world was divided between countries that tried to expel their Jewish populations and those that refused to let them in. The plight of these traumatized refugees inspired numerous proposals for Jewish states. Jews and Christians, authors and adventurers, politicians and playwrights, and rabbis and revolutionaries all worked to carve out autonomous Jewish territories in remote and often hostile locations across the globe. The would-be founding fathers of these imaginary Zions dispatched scientific expeditions to far-flung regions and filed reports on the dream states they planned to create. But only Israel emerged from dream to reality. Israel’s successful foundation has long obscured the fact that eminent Jewish figures, including Zionism’s prophet, Theodor Herzl, seriously considered establishing enclaves beyond the Middle East. In the Shadow of Zion brings to life the amazing true stories of six exotic visions of a Jewish national home outside of the biblical land of Israel. It is the only book to detail the connections between these schemes, which in turn explain the trajectory of modern Zionism. A gripping narrative drawn from archives the world over, In the Shadow of Zion recovers the mostly forgotten history of the Jewish territorialist movement, and the stories of the fascinating but now obscure figures who championed it. Provocative, thoroughly researched, and written to appeal to a broad audience, In the Shadow of Zion offers a timely perspective on Jewish power and powerlessness. Visit the author's website: http://www.adamrovner.com/.

Mathematical Finance - Bachelier Congress 2000

Mathematical Finance - Bachelier Congress 2000
Author: Helyette Geman
Publisher: Springer Science & Business Media
Total Pages: 522
Release: 2013-11-11
Genre: Mathematics
ISBN: 3662124297

The Bachelier Society for Mathematical Finance held its first World Congress in Paris last year, and coincided with the centenary of Louis Bacheliers thesis defence. In his thesis Bachelier introduces Brownian motion as a tool for the analysis of financial markets as well as the exact definition of options. The thesis is viewed by many the key event that marked the emergence of mathematical finance as a scientific discipline. The prestigious list of plenary speakers in Paris included two Nobel laureates, Paul Samuelson and Robert Merton, and the mathematicians Henry McKean and S.R.S. Varadhan. Over 130 further selected talks were given in three parallel sessions. .

Multidimensional Continued Fractions

Multidimensional Continued Fractions
Author: Fritz Schweiger
Publisher: Oxford University Press, USA
Total Pages: 250
Release: 2000
Genre: Mathematics
ISBN: 9780198506867

Mathematician Fritz Schweiger, whose academic affiliation is not provided, provides an introduction to a field of research that has seen remarkable progress in recent decades, concentrating on multidimensional continued fractions which can be described by fractional linear maps or equivalently by a set of (n + 1) x (n + 1) matrices. Addressing the question of periodicity, he refines the problem of convergence to the question of whether these algorithms give "good" simultaneous Diophantine approximations. He notes that these algorithms are not likely to provide such "good" approximations which satisfy the n-dimensional Dirichlet property. Also studied are the ergodic properties of these maps. Annotation copyrighted by Book News Inc., Portland, OR

Asymptotic Laws and Methods in Stochastics

Asymptotic Laws and Methods in Stochastics
Author: Donald Dawson
Publisher: Springer
Total Pages: 401
Release: 2015-11-12
Genre: Mathematics
ISBN: 1493930761

This book contains articles arising from a conference in honour of mathematician-statistician Miklόs Csörgő on the occasion of his 80th birthday, held in Ottawa in July 2012. It comprises research papers and overview articles, which provide a substantial glimpse of the history and state-of-the-art of the field of asymptotic methods in probability and statistics, written by leading experts. The volume consists of twenty articles on topics on limit theorems for self-normalized processes, planar processes, the central limit theorem and laws of large numbers, change-point problems, short and long range dependent time series, applied probability and stochastic processes, and the theory and methods of statistics. It also includes Csörgő’s list of publications during more than 50 years, since 1962.