English
Related papers

Related papers: One-dimensional Discrete Models of Maximum Likelih…

200 papers

We consider statistical models arising from the common set of solutions to a sparse polynomial system with general coefficients. The maximum likelihood degree counts the number of critical points of the likelihood function restricted to the…

Algebraic Geometry · Mathematics 2022-04-20 Julia Lindberg , Nathan Nicholson , Jose Israel Rodriguez , Zinan Wang

We give formulas and effective sharp bounds for the degree of multi-graded rational maps and provide some effective and computable criteria for birationality in terms of their algebraic and geometric properties. We also extend the Jacobian…

Algebraic Geometry · Mathematics 2020-05-13 Laurent Busé , Yairon Cid-Ruiz , Carlos D'Andrea

We investigate the question of how well points on a nondegenerate $k$-dimensional submanifold $M \subseteq \mathbb R^d$ can be approximated by rationals also lying on $M$, establishing an upper bound on the "intrinsic Dirichlet exponent"…

Number Theory · Mathematics 2018-01-23 Lior Fishman , Dmitry Kleinbock , Keith Merrill , David Simmons

The aim of this note is to state a couple of general results about the properties of the penalized maximum likelihood estimators (pMLE) and of the posterior distribution for parametric models in a non-asymptotic setup and for possibly large…

Statistics Theory · Mathematics 2022-12-13 Vladimir Spokoiny

We study the problem of maximizing a spectral risk measure of a given output function which depends on several underlying variables, whose individual distributions are known but whose joint distribution is not. We establish and exploit an…

Optimization and Control · Mathematics 2022-11-16 Hamza Ennaji , Quentin Mérigot , Luca Nenna , Brendan Pass

Bianchi modular forms are automorphic forms over an imaginary quadratic field, associated to a Bianchi group. Even though modern studies of Bianchi modular forms go back to the mid 1960's, most of the fundamental problems surrounding their…

Number Theory · Mathematics 2017-03-23 Alexander Rahm , Panagiotis Tsaknias

We develop a family of infinite-dimensional (non-parametric) manifolds of probability measures. The latter are defined on underlying Banach spaces, and have densities of class $C_b^k$ with respect to appropriate reference measures. The case…

Probability · Mathematics 2018-06-12 Nigel J. Newton

With the rise of big data, networks have pervaded many aspects of our daily lives, with applications ranging from the social to natural sciences. Understanding the latent structure of the network is thus an important question. In this…

Statistics Theory · Mathematics 2024-11-19 Stephen Jiang , Jianqing Fan

We introduce a new probabilistic model of the primes consisting of integers that survive the sieving process when a random residue class is selected for every prime modulus below a specific bound. From a rigorous analysis of this model, we…

Number Theory · Mathematics 2025-08-13 William Banks , Kevin Ford , Terence Tao

We prove a general multi-dimensional central limit theorem for the expected number of vertices of a given degree in the family of planar maps whose vertex degrees are restricted to an arbitrary (finite or infinite) set of positive integers…

Combinatorics · Mathematics 2020-01-22 Gwendal Collet , Michael Drmota , Lukas Daniel Klausner

The moduli space of degree $d$ morphisms on $\mathbb{P}^1$ has received much study. McMullen showed that, except for certain families of Latt\`es maps, there is a finite-to-one correspondence (over $\mathbb{C}$) between classes of morphisms…

Number Theory · Mathematics 2013-04-12 Benjamin Hutz , Michael Tepper

Let {\Lnk} be the class of all $n$-dimensional real solvable Lie algebras having $k$-dimensional derived ideals. In 2020 the authors et al. gave a classification of all non 2-step nilpotent Lie algebras of {\Li}. We propose in this paper to…

Representation Theory · Mathematics 2021-09-28 Tu T. C Nguyen , Vu A. Le

Statistical inference in high-dimensional settings is challenging when standard unregularized methods are employed. In this work, we focus on the case of multiple correlated proportions for which we develop a Bayesian inference framework.…

Methodology · Statistics 2025-06-23 Max Westphal

We give upper bounds on the minimal degree of a model in $\mathbb{P}^2$ and the minimal bidegree of a model in $\mathbb{P}^1 \times \mathbb{P}^1$ of the curve defined by a given Laurent polynomial, in terms of the combinatorics of the…

Combinatorics · Mathematics 2015-05-22 Wouter Castryck , Filip Cools

We prove that in a closed manifold of dimension between 3 and 7 with a bumpy metric, the min-max minimal hypersurfaces associated with the volume spectrum introduced by Gromov, Guth, Marques-Neves, are two-sided and have multiplicity one.…

Differential Geometry · Mathematics 2019-02-06 Xin Zhou

We study the universal closest refinement problem on measurable bipartite relations over standard Borel spaces. Given prescribed side measures, the feasible class consists of finite refinement plans concentrated on the relation and carrying…

Functional Analysis · Mathematics 2026-04-14 T-H. Hubert Chan

Let $\Lambda$ be a finite dimensional algebra over an algebraically closed field. We exhibit slices of the representation theory of $\Lambda$ that are always classifiable in stringent geometric terms. Namely, we prove that, for any…

Representation Theory · Mathematics 2014-07-11 H. Derksen , B. Huisgen-Zimmermann , J. Weyman

The classical dimer model is concerned with the (weighted) enumeration of perfect matchings of a graph. An $n$-dimer cover is a multiset of edges that can be realized as the disjoint union of $n$ individual matchings. For a probability…

Combinatorics · Mathematics 2025-10-20 Nickolas Anderson , Moriah Elkin , Elizabeth Kelley , Nicholas Ovenhouse , Kayla Wright

We generalize recent theoretical work on the minimal number of layers of narrow deep belief networks that can approximate any probability distribution on the states of their visible units arbitrarily well. We relax the setting of binary…

Machine Learning · Statistics 2014-01-30 Guido F. Montúfar

Rational maps on the Riemann sphere occupy a distinguished niche in the general theory of smooth dynamical systems. First, rational maps are complex-analytic, so a broad spectrum of techniques can contribute to their study (quasiconformal…

Dynamical Systems · Mathematics 2016-09-06 Curtis T. McMullen
‹ Prev 1 8 9 10 Next ›