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Limits of densities belonging to an exponential family appear in many applications, {e.g.} Gibbs models in Statistical Physics, relaxed combinatorial optimization, coding theory, critical likelihood computations, Bayes priors with singular…

Statistics Theory · Mathematics 2010-12-06 Luigi Malagò , Giovanni Pistone

We consider the simplest class of Lie-algebraic deformations of space-time algebra, with the selection of $\kappa$-deformations as providing quantum deformation of relativistic framework. We recall that the $\kappa$-deformation along any…

High Energy Physics - Theory · Physics 2017-08-23 Jerzy Lukierski

This paper mainly contributes to a classification of statistical Einstein manifolds, namely statistical manifolds at the same time are Einstein manifolds. A statistical manifold is a Riemannian manifold, each of whose points is a…

Mathematical Physics · Physics 2019-08-30 Linyu Peng , Zhenning Zhang

We have investigated the proof of the $H$ theorem within a manifestly covariant approach by considering the relativistic statistical theory developed in [G. Kaniadakis, Phy. Rev. E {\bf 66}, 056125, 2002; {\it ibid.} {\bf 72}, 036108,…

Statistical Mechanics · Physics 2007-05-23 R. Silva

We propose new noncommutative models of quantum phase spaces, containing a pair of $\kappa$-deformed Poincar\'e algebras, with two independent double ($\kappa,\tilde{\kappa}$)-deformations in space-time and four-momenta sectors. The first…

High Energy Physics - Theory · Physics 2025-05-21 Jerzy Lukierski , Stjepan Meljanac , Salvatore Mignemi , Anna Pachoł , Mariusz Woronowicz

We describe three ways of modifying the relativistic Heisenberg algebra - first one not linked with quantum symmetries, second and third related with the formalism of quantum groups. The third way is based on the identification of…

High Energy Physics - Theory · Physics 2007-05-23 J. Lukierski

A duality of $\kappa$-normed topological vector spaces is defined and investigated. For such spaces the analog of the Mackey-Arens theorem is proved. There are investigated cases, when $\kappa$-normability of a topological vector space…

General Topology · Mathematics 2007-05-23 S. Ludkovsky

We rediscuss recent derivations of kinetic equations based on the Kaniadakis' entropy concept. Our primary objective here is to derive a kinetical version of the second law of thermodynamycs in such a $\kappa$-framework. To this end, we…

Statistical Mechanics · Physics 2009-11-11 R. Silva

We propose a novel approach for density estimation with exponential families for the case when the true density may not fall within the chosen family. Our approach augments the sufficient statistics with features designed to accumulate…

Machine Learning · Statistics 2012-09-07 Lin Yuan , Sergey Kirshner , Robert Givan

We describe the generalized kappa-deformations of D=4 relativistic symmetries with finite masslike deformation parameter kappa and an arbitrary direction in kappa-deformed Minkowski space being noncommutative. The corresponding bicovariant…

High Energy Physics - Theory · Physics 2016-08-16 P. Kosiński , P. Maślanka , J. Lukierski , A. Sitarz

First-order statistics of scattered light is described using the representation of probability density cloud which visualizes a two-dimensional distribution for complex amplitude. The geometric parameters of the cloud are studied in detail…

Instrumentation and Methods for Astrophysics · Physics 2017-08-02 Natalia Yaitskova

The exponential family of models is defined in a general setting, not relying on probability theory. Some results of information geometry are shown to remain valid. Exponential families both of classical and of quantum mechanical…

Mathematical Physics · Physics 2015-06-03 Jan Naudts , Ben Anthonis

There has been an explosion of interest in statistical models for analyzing network data, and considerable interest in the class of exponential random graph (ERG) models, especially in connection with difficulties in computing maximum…

Machine Learning · Statistics 2009-01-05 Stephen E. Fienberg , Alessandro Rinaldo , Yi Zhou

We show how to provide a structure of probability space to the set of execution traces on a non-confluent abstract rewrite system, by defining a variant of a Lebesgue measure on the space of traces. Then, we show how to use this probability…

Logic in Computer Science · Computer Science 2014-04-02 Alejandro Díaz-Caro , Gilles Dowek

Given a relatively compact set $\Omega \subseteq \mathbb{R}$ of Lebesgue measure $|\Omega|$ and $\varepsilon > 0$, we show the existence of a set $\Lambda \subseteq \mathbb{R}$ of uniform density $D (\Lambda) \leq (1+\varepsilon) |\Omega|$…

Classical Analysis and ODEs · Mathematics 2025-04-16 Marcin Bownik , Jordy Timo van Velthoven

In a seminal paper, Viana built examples of maps presenting two positive Lyapunov exponents exploring skew-products of a (uniformly) expanding map and a quadratic map (order 2 critical point) perturbed by some level of noise. Here we extend…

Dynamical Systems · Mathematics 2023-12-05 Vanderlei Horita , Nivaldo Muniz , Olivier Sester

In this paper, we focus on statistical region-based active contour models where image features (e.g. intensity) are random variables whose distribution belongs to some parametric family (e.g. exponential) rather than confining ourselves to…

Computer Vision and Pattern Recognition · Computer Science 2008-05-22 François Lecellier , Stéphanie Jehan-Besson , Jalal Fadili , Gilles Aubert , Marinette Revenu

Recently it was shown that by using two different realizations of $\hat{o}(1,4)$ Lie algebra one can describe one-parameter standard Snyder model and two-parameter $\kappa$-deformed Snyder model. In this paper, by using the generalized Born…

High Energy Physics - Theory · Physics 2024-08-08 Jerzy Lukierski , Anna Pachoł

A regular spectral triple is proposed for a two-dimensional $\kappa$-deformation. It is based on the naturally associated affine group $G$, a smooth subalgebra of $C^*(G)$, and an operator $\caD$ defined by two derivations on this…

Mathematical Physics · Physics 2012-08-07 B. Iochum , T. Masson , A. Sitarz

We investigate the construction of exponential families from statistical manifolds, a central problem in information geometry. We prove that every compact statistical manifold admits a singular foliation whose leaves are Hessian manifolds.…

Differential Geometry · Mathematics 2026-02-20 Emmanuel Gnandi