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Related papers: Random interpolating sequences in Dirichlet spaces

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We prove a functional limit theorem in a space of analytic functions for the random Dirichlet series $D(\alpha;z)=\sum_{n\geq 2}(\log n)^{\alpha}(\eta_n+{\rm i} \theta_n)/n^z$, properly scaled and normalized, where…

Probability · Mathematics 2022-11-02 Dariusz Buraczewski , Congzao Dong , Alexander Iksanov , Alexander Marynych

We propose Predict then Interpolate (PI), a simple algorithm for learning correlations that are stable across environments. The algorithm follows from the intuition that when using a classifier trained on one environment to make predictions…

Machine Learning · Computer Science 2021-05-27 Yujia Bao , Shiyu Chang , Regina Barzilay

Let $X$, $B$ and $Y$ be three Dirichlet, Bernoulli and beta independent random variables such that $X\sim \mathcal{D}(a_0,...,a_d),$ such that $\Pr(B=(0,...,0,1,0,...,0))=a_i/a$ with $a=\sum_{i=0}^da_i$ and such that $Y\sim \beta(1,a).$ We…

Probability · Mathematics 2012-04-12 Pawel Hitczenko , Gerard Letac

Let $N$ be the Heisenberg group. We consider left-invariant multiplicity free subspaces of $L^2(N)$. We prove a necessary and sufficient density condition in order that such subspaces possess the interpolation property with respect to a…

Representation Theory · Mathematics 2010-07-26 Bradley Currey , Azita Mayeli

We consider systems of particles hopping stochastically on $d$-dimensional lattices with space-dependent probabilities. We map the master equation onto an evolution equation in a Fock space where the dynamics are given by a quantum…

Condensed Matter · Physics 2007-05-23 Gunter Schuetz , Sven Sandow

This note provides an elementary proof of the folklore fact that draws from a Dirichlet distribution (with parameters less than 1) are typically sparse (most coordinates are small).

Machine Learning · Computer Science 2013-01-22 Matus Telgarsky

We demonstrate that in the frame of the random phase approximation with the exchange, which preserves the validity of the precise well known dipole sum rule, the partial contributions for given subshells strongly deviates from the number of…

Atomic Physics · Physics 2018-11-14 M. Ya. Amusia , L. V. Chernysheva

We propose Dirichlet Simplex Nest, a class of probabilistic models suitable for a variety of data types, and develop fast and provably accurate inference algorithms by accounting for the model's convex geometry and low dimensional…

Machine Learning · Statistics 2019-05-28 Mikhail Yurochkin , Aritra Guha , Yuekai Sun , XuanLong Nguyen

In this paper we generalize the result of directional transience from [SabotTournier10]. This enables us, by means of [Simenhaus07], [ZernerMerkl01] and [Bouchet12] to conclude that, on Z^d (for any dimension d), random walks in i.i.d.…

Probability · Mathematics 2012-11-19 Laurent Tournier

We consider the Fock space weighted by $e^{-\alpha |z|^{2}}$, of entire and quasi-periodic (modulo a weight dependent on $\nu $) functions on ${C}$. The quotient space $\mathbb{C}/\mathbb{Z}$, called `The flat cylinder', is represented by…

Functional Analysis · Mathematics 2025-08-14 Luis Daniel Abreu , Franz Luef , Mohammed Ziyat

An explicit Dirichlet series is obtained, which represents an analytic function of $s$ in the half-plane $\Re s>1/2$ except for having simple poles at points $s_j$ that correspond to exceptional eigenvalues $\lambda_j$ of the non-Euclidean…

Number Theory · Mathematics 2007-05-23 Xian-Jin Li

We give new proofs of Hardy space estimates for fractional and singular integral operators on weighted and variable exponent Hardy spaces. Our proofs consist of several interlocking ideas: finite atomic decompositions in terms of $L^\infty$…

Classical Analysis and ODEs · Mathematics 2019-02-12 David Cruz-Uribe , Kabe Moen , Hanh Nguyen

We consider a random walk on a homogeneous space $G/\Lambda$ where $G$ is a non-compact simple Lie group and $\Lambda$ is a lattice. The walk is driven by a probability measure $\mu$ on $G$ whose support generates a Zariski-dense subgroup.…

Dynamical Systems · Mathematics 2026-05-27 Timothée Bénard , Weikun He

The paper is split in two parts: in the first part, we construct the exact likelihood for a discretely observed rough differential equation, driven by a piecewise linear path. In the second part, we use this likelihood in order to construct…

Statistics Theory · Mathematics 2018-07-10 Anastasia Papavasiliou , Kasia B. Taylor

We consider an array of random variables, taking values in a complete and separable metric space, that exhibits a kind of symmetry which we call row exchangeability. Given such an array, a natural model for Bayesian nonparametric inference…

Statistics Theory · Mathematics 2025-10-10 Evan Donald , Jason Swanson

Answering a question of Lindholm, we prove strict density inequalities for sampling and interpolation in Fock spaces of entire functions in several complex variables defined by a plurisubharmonic weight. In particular, these spaces do not…

Classical Analysis and ODEs · Mathematics 2020-04-17 Karlheinz Gröchenig , Antti Haimi , Joaquim Ortega-Cerdà , José Luis Romero

Although diffusion models have successfully extended to function-valued data, stochastic interpolants -- which offer a flexible way to bridge arbitrary distributions -- remain limited to finite-dimensional settings. This work bridges this…

Machine Learning · Statistics 2026-02-03 James Boran Yu , RuiKang OuYang , Julien Horwood , José Miguel Hernández-Lobato

We construct random metric spaces by gluing together an infinite sequence of pointed metric spaces that we call blocks. At each step, we glue the next block to the structure constructed so far by randomly choosing a point on the structure…

Probability · Mathematics 2019-04-17 Delphin Sénizergues

We correct and streamline the proof of the fact that, at the critical point $\alpha=1$, the vacant set of the two-dimensional random interlacements is infinite (Comets, Popov, 2017). Also, we prove a zero-one law for a natural class of tail…

Probability · Mathematics 2023-12-07 Orphée Collin , Serguei Popov

This paper deals with a new class of random flights $\underline{\bf X}_d(t),t>0,$ defined in the real space $\mathbb{R}^d, d\geq 2,$ characterized by non-uniform probability distributions on the multidimensional sphere. These random motions…

Probability · Mathematics 2015-05-30 Alessandro De Gregorio
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