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This PhD thesis deals with a number of different problems in mathematical physics with the common thread that they have probabilistic aspects. The problems all stem from mathematical studies of lattice systems in statistical and quantum…

Mathematical Physics · Physics 2023-12-15 Frederik Ravn Klausen

In this note we briefly survey and propose some open problems related to isoparametric theory.

Differential Geometry · Mathematics 2019-10-29 Jianquan Ge

We introduce the concept of protometric and present some properties of protometrics.

Metric Geometry · Mathematics 2018-08-17 Michel Deza , Pavel Chebotarev

This is the logical foundation for for Relativity Theory, Probability Theory, and for Quantum Theory. Contents is the following: 1 Introduction. 2 Classical logic. 3 Time and space. 3.1 Recorders. 3.2 Time. 3.3 Space. 3.4 Relativity. 4.…

General Physics · Physics 2007-05-23 G. A. Quznetsov

We study the class $\mathcal{M}_{\mathrm{ratio}}$ of those probability distributions for which the free $R$-transforms are rational functions. This class is closed under the additive free convolution, additive free powers and under the…

Probability · Mathematics 2021-11-22 Wojciech Młotkowski

A brief exposition of the point of higher topos theory in (mathematical) physics, commissioned for the Encyclopedia of Mathematical Physics 2nd ed.

Mathematical Physics · Physics 2024-12-30 Urs Schreiber

We study certain polyadicly continuous sequences from point of view the probability theory.

Number Theory · Mathematics 2017-06-29 Milan Pasteka

In this article, we define the notion of a filtration and then give the basic theorems on initial and progressive enlargements of filtrations.

Probability · Mathematics 2007-12-06 Delia Coculescu , Ashkan Nikeghbali

Bayesian probability theory is used as a framework to develop a formalism for the scientific method based on principles of inductive reasoning. The formalism allows for precise definitions of the key concepts in theories of physics and also…

Data Analysis, Statistics and Probability · Physics 2011-09-12 Roberto C. Alamino

Likelihood-free inference refers to inference when a likelihood function cannot be explicitly evaluated, which is often the case for models based on simulators. Most of the literature is based on sample-based `Approximate Bayesian…

Machine Learning · Statistics 2018-11-22 Conor Durkan , George Papamakarios , Iain Murray

An approximation method is presented for probabilistic inference with continuous random variables. These problems can arise in many practical problems, in particular where there are "second order" probabilities. The approximation, based on…

Artificial Intelligence · Computer Science 2013-04-10 Ross D. Shachter

This note is an extended read of my read of Laplace's book Theorie Analytique des Probabilites, when considered from a Bayesian viewpoint but without historical nor comparative pretentions. A deeper analysis is provided in Dale (1999).

Other Statistics · Statistics 2012-03-29 Christian P. Robert

A logic is defined that allows to express information about statistical probabilities and about degrees of belief in specific propositions. By interpreting the two types of probabilities in one common probability space, the semantics given…

Artificial Intelligence · Computer Science 2013-02-28 Manfred Jaeger

I am presenting a first-ever scientific collection of short sayings on probability and statistics expressed by most various men of science, many classics included, from antiquity to Kepler to our time. Quite understandably, the reader will…

History and Overview · Mathematics 2021-07-07 Oscar Sheynin

This work proposes a view of probability as a relative measure rather than an absolute one. To demonstrate this concept, we focus on finite outcome spaces and develop three fundamental axioms that establish requirements for relative…

Machine Learning · Statistics 2023-05-30 Max Sklar

The article attempts to demonstrate the rich history of one truly remarkable problem situated at the confluence of probability theory and theory of numbers - finding the probability of co-primality of two randomly selected natural numbers.…

History and Overview · Mathematics 2017-04-12 Sergei Abramovich , Yakov Yu. Nikitin

An expository introduction to bidding chess and other bidding games. To appear in Mathematical Intelligencer.

History and Overview · Mathematics 2015-03-13 Jay Bhat , Sam Payne

This expository essay introduces randomness and computation to a lay audience.

Computational Complexity · Computer Science 2010-07-13 David Zuckerman

The ideas here are a continuation of a previous article. Some of the applications of the main ideas in the previous article are explained, along with some limitations of the general ideas. There are situations where additional hypotheses…

Discrete Mathematics · Computer Science 2025-07-15 Jesse Gilbert

The theory of probability and the quantum theory, the one mathematical and the other physical, are related in that each admits a number of very different interpretations. It has been proposed that the conceptual problems of the quantum…

Quantum Physics · Physics 2021-08-29 Louis Marchildon