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A new maximum approximate likelihood (ML) estimation algorithm for the mixture of Kent distribution is proposed. The new algorithm is constructed via the BSLM (block successive lower-bound maximization) framework and incorporates manifold…

Computation · Statistics 2017-09-15 Hien D. Nguyen

We show the finiteness of homoclinic classes carrying measures with large Lyapunov exponents for $\mathcal{C}^2$ surface diffeomorphisms. As a consequence, we derive the finiteness of the set of ergodic measures of maximal entropy, in the…

Dynamical Systems · Mathematics 2025-04-29 Matéo Ghezal

Leptonic \textit{CP} violation search, neutrino mass hierarchy determination, and the precision measurement of oscillation parameters for a unitary test of the leptonic mixing matrix are among the major targets of the ongoing and future…

High Energy Physics - Phenomenology · Physics 2021-07-07 S. Cao , A. Nath , T. V. Ngoc , P. T. Quyen , N. T. Hong Van , Ng. K. Francis

The fundamental result of Li, Long, and Srinivasan on approximations of set systems has become a key tool across several communities such as learning theory, algorithms, computational geometry, combinatorics and data analysis. The goal of…

Machine Learning · Computer Science 2022-09-02 Mónika Csikós , Nabil H. Mustafa

We obtain orbital counting results for the class of strongly hyperbolic metrics on hyperbolic groups. To achieve this we combine ergodic theoretic techniques involving the Mineyev topological flow and symbolic dynamics. Our results apply to…

Dynamical Systems · Mathematics 2025-02-26 Stephen Cantrell

Let $f$ be a $C^{1+\alpha}$ diffeomorphism of a compact manifold $M$ preserving a smooth measure $\mu$. We show that if $f:(M,\mu)\to (M,\mu)$ is exponentially mixing then it is Bernoulli.

Dynamical Systems · Mathematics 2021-06-08 Dmitry Dolgopyat , Adam Kanigowski , Federico Rodriguez-Hertz

Some results of B. Pasynkov and H. Torunczyk on finite-dimensional maps are improved. A generalization of a Dranishnikov-Uspenskij theorem about extensional dimension is also obtained.

General Topology · Mathematics 2007-05-23 H. Murat Tuncali , Vesko Valov

Recent research has established sufficient conditions for finite mixture models to be identifiable from grouped observations. These conditions allow the mixture components to be nonparametric and have substantial (or even total) overlap.…

Machine Learning · Statistics 2020-06-16 Alexander Ritchie , Robert A. Vandermeulen , Clayton Scott

We present a systematic procedure to establish a connection between complex neutrino mass matrix textures and experimental observables, including the Dirac CP phase. In addition, we illustrate how future experimental measurements affect the…

High Energy Physics - Phenomenology · Physics 2008-11-26 Walter Winter

As it is known, universal codes, which estimate the entropy rate consistently, exist for stationary ergodic sources over finite alphabets but not over countably infinite ones. We generalize universal coding as the problem of universal…

Information Theory · Computer Science 2023-08-01 Łukasz Dębowski

This paper focuses on the extreme-value problem for Shannon entropy of the joint distribution with given marginals. It is proved that the minimum-entropy coupling must be of order-preserving, while the maximum-entropy coupling coincides…

Information Theory · Computer Science 2022-06-09 Ya-Jing Ma , Feng Wang , Xian-Yuan Wu , Kai-Yuan Cai

We establish a multivariate empirical process central limit theorem for stationary $\R^d$-valued stochastic processes $(X_i)_{i\geq 1}$ under very weak conditions concerning the dependence structure of the process. As an application we can…

Probability · Mathematics 2011-01-28 Herold Dehling , Olivier Durieu

The exponential family is well known in machine learning and statistical physics as the maximum entropy distribution subject to a set of observed constraints, while the geometric mixture path is common in MCMC methods such as annealed…

Machine Learning · Computer Science 2021-01-18 Rob Brekelmans , Frank Nielsen , Alireza Makhzani , Aram Galstyan , Greg Ver Steeg

The Vapnik-Chervonenkis dimension of a set K in R^n is the maximal dimension of the coordinate cube of a given size, which can be found in coordinate projections of K. We show that the VC dimension of a convex body governs its entropy. This…

Functional Analysis · Mathematics 2016-12-23 S. Mendelson , R. Vershynin

We study exceptional sets for the Chacon transformation and, more generally, for a class of cutting-and-stacking transformations called restrictive tight maps. For these systems we explicitly construct a universal exceptional set…

Dynamical Systems · Mathematics 2026-05-12 Jiyun Park , Kangrae Park

For a $C^{r}$ $(r>1)$ diffeomorphism on a compact manifold that admits a dominated splitting, this paper establishes the upper semi-continuity of the entropy map. More precisely, this paper establishes the upper semi-continuity of the…

Dynamical Systems · Mathematics 2024-12-25 Chiyi Luo , Wenhui Ma , Yun Zhao

We study metric versions of transitivity, mixing, and hypercyclicity for continuous maps, based on intersections of the form \( f^{n}(U)\cap B_{\delta}(V)\neq\varnothing. \) We introduce $\delta$-topological transitivity,…

Functional Analysis · Mathematics 2026-04-21 Hadi Obaid Alshammari , Otmane Benchiheb , Dimitrios Chiotis

Let O_{Lambda} be a higher rank graph C*-algebra of rank r. For every tuple p of non-negative integers there is a canonical completely positive map Phi^p on O_{Lambda} and a subshift T^p on the path space X of the graph. We show that…

Operator Algebras · Mathematics 2008-01-16 Adam Skalski , Joachim Zacharias

In this paper we prove that for sufficiently large parameters the standard map has a unique measure of maximal entropy (m.m.e.). Moreover, we prove: the m.m.e. is Bernoulli, and the periodic points with Lyapunov exponents bounded away from…

Dynamical Systems · Mathematics 2020-03-03 Davi Obata

We establish the geometric ergodicity of the preconditioned Hamiltonian Monte Carlo (HMC) algorithm defined on an infinite-dimensional Hilbert space, as developed in [Beskos et al., Stochastic Process. Appl., 2011]. This algorithm can be…

Statistics Theory · Mathematics 2020-03-19 Nathan E. Glatt-Holtz , Cecilia F. Mondaini