Estimation and inference for the Wasserstein distance between mixing measures in topic models

Xin Bing, Florentina Bunea, Jonathan Niles-Weed

Estimation of a score-explained non-randomized treatment effect in fixed and high dimensions

Debarghya Mukherjee, Moulinath Banerjee, Ya'acov Ritov

Functional estimation in high-dimensional and infinite-dimensional models

Vladimir Koltchinskii, Minghao Li

Bernstein duality revisited: frequency-dependent selection, coordinated mutation and opposing environments

Fernando Cordero, Sebastian Hummel, Grégoire Véchambre

Asymptotics of Numerical Integration for Two-Level Mixed Models

Blair Bilodeau, Alex Stringer, Yanbo Tang

Theory and inference for multivariate autoregressive binary models with applications to absence-presence data in Ecology

Lionel Truquet, Guilaume Franchi

Nonparametric logistic regression with deep learning

Atsutomo Yara, Yoshikazu Terada

Volatility and jump activity estimation in a stable Cox-Ingersoll-Ross model

Emmanuelle Clément

A fractional stochastic differential equation with discontinuous diffusion driven by fBm with Hurst parameter less than 1/2

Jorge A. León, Jorge Lozada, Johanna Garzón, Soledad Torres

A general maximal projection approach to uniformity testing on the hypersphere

Bruno Ebner, Jaroslav I. Borodavka

Nonparametric Bayesian intensity estimation for covariate-driven inhomogeneous point processes

Matteo Giordano, Alisa Kirichenko, Judith Rousseau

Simulating conditioned diffusions on manifolds

Marc Corstanje, Frank van der Meulen, Moritz Schauer, Stefan Sommer

Probabilistic cellular automata with local transition matrices: synchronization, ergodicity, and inference

Erhan Bayraktar, Fei Lu, Mauro Maggioni, Ruoyu Wu, Sichen Yang

Moderate deviation principles for a reaction diffusion model in non-equilibrium

Linjie Zhao

Principles of Statistical Inference in Online Problems

Man Fung Leung, Kin Wai Chan

Diffusion processes as Wasserstein gradient flows via stochastic control of the volatility matrix

Bertram Tschiderer

Scaling limit for the cover time of the $\lambda$-biased random walk on a binary tree with $\lambda<1$

David A. Croydon

Stein’s Method of Moments on the Sphere

Adrian Fischer, Robert E. Gaunt, Yvik Swan

Monotone measure-transportation maps in Hilbert spaces, with statistical applications

Alberto Gonzalez-Sanz, Marc Hallin, Bodhisattva Sen

Detecting Spectral Breaks in Spiked Covariance Models

Nina Dörnemann, Debashis Paul

Bernstein-type Inequalities for Markov Chains and Markov Processes: A Simple and Robust Proof

De Huang, Xiangyuan Li

Empirical Bayes multiple testing for sparse binary data

Yu-Chien Bo Ning

Addressing both Variable Selection and Misclassified Responses with Parametric and Semiparametric Methods

Hui Guo, Grace Y. Yi, Boyu Wang

Multitype branching processes in random environments with not strictly positive expectation matrices

Vilma Orgoványi, Károly Simon

Causal inference on process graphs: causal structure and effect identification

Nicolas-Domenic Reiter, Jonas Wahl, Andreas Gerhardus, Jakob Runge

Ole Eiler Barndorff-Nielsen

Mark Podolskij

Locally sharp goodness-of-fit testing in sup norm for high-dimensional counts

Subhodh Kotekal, Julien Chhor, Chao Gao

Dimension-free Relaxation Times of Informed MCMC Samplers on Discrete Spaces

Hyunwoong Chang, Quan Zhou

Long Time W0-W1 type Propagation of Chaos for Mean Field Interacting Particle System

Xing Huang, Fen-Feng Yang, Chenggui Yuan

Covariance change point localisation and inference in fragmented functional data

Gengyu Xue, Haotian Xu, Yi Yu

Seriation of Tœplitz and latent position matrices: optimal rates and computational trade-offs

Clément Berenfeld, Alexandra Carpentier, Nicolas Verzelen

Decompounding under general mixing distributions

Denis Belomestny, Ekaterina Morozova, Vladimir Panov

Parametrization, Prior Independence, and the Semiparametric Bernstein-von Mises Theorem for the Partially Linear Model

Christopher Douglas Walker

Estimating invertible processes in Hilbert spaces, with applications to functional ARMA processes

Sebastian Kühnert, Gregory Rice, Alexander Aue

Optimal Matching Problem on the Boolean Cube

Shi Feng

Robust functional data analysis: from sparse to dense designs

Lingxuan Shao, Fang Yao

Learning latent tree models with small query complexity

Luc Devroye, Gabor Lugosi, Piotr Zwiernik

First contact percolation

New energy distances for statistical inference on infinite dimensional Hilbert spaces without moment conditions

Holger Dette, Jiajun Tang

The Asymptotic Properties of the Extreme Eigenvectors of High-dimensional Generalized Spiked Covariance Model

Contraction rates and projection subspace estimation with Gaussian process priors in high dimension

Elie Odin, François Bachoc, Agnès Lagnoux

Tame sparse exponential random graphs

Suman - Chakraborty, Remco - van der Hofstad, Frank - den Hollander

SID: a novel class of nonparametric   tests of independence for censored outcomes

Jicai Liu

On the Martingale Schr\"odinger Bridge between Two Distributions

Johannes Wiesel

Identifiability of overcomplete independent component analysis

Kexin Wang, Anna Seigal

Merging Rate of Opinions via Optimal Transport on Random Measures

Marta Catalano, Hugo Lavenant

Dimension-free uniform concentration bound for logistic regression

Shogo Nakakita

Optimal Designs for Regression on Lie Groups

Somnath Chakraborty, Holger Dette, Martin Kroll

Strong convergence for tensor GUE random matrices

Benoit Collins, Wangjun Yuan

Optimal importance sampling for overdamped Langevin dynamics

Martin Chak, Tony Lelièvre, Gabriel Stoltz, Urbain Vaes

Detecting a late changepoint in the preferential attachment model

Gianmarco Bet, Kay Bogerd, Rui M. Castro, Remco van der Hofstad

Nonparametric Estimation of Ordinary Differential Equations: Snake and Stubble

Christof Schötz

Sample Path Properties of the Fractional Wiener--Weierstrass Bridge

Alexander Schied, Zhenyuan Zhang

Asymptotic bias reduction of maximum likelihood estimates via penalized likelihoods with differential geometry

Masayo Y. Hirose, Shuhei Mano

Regularized e-processes: anytime valid inference with knowledge-based efficiency gains

Ryan Martin

Misspecified Bernstein-Von Mises theorem for hierarchical models

Geerten Koers, Botond Szabo, Aad van der Vaart

Universality of estimators for high-dimensional linear models with block dependency

Toshiki Tsuda, Masaaki Imaizumi

Statistical Inference for Bures-Wasserstein Flows

Leonardo Vincenzo Santoro, Victor Michael Panaretos

Sharp Anti-Concentration Inequalities for Extremum Statistics via Copulas

Matias Damian Cattaneo, Ricardo Pereira Masini, William George Underwood

On some geometric identities involving the sample covariance matrix and its adjugate

Alexander Dürre, Davy Paindaveine

Multivariate Hilbertian Additive Regression with General Estimated Variables

Jeong Min Jeon, Germain Van Bever

On the passage times of self-similar Gaussian processes on curved boundaries

Davar Khoshnevisan, Cheuk Yin Lee

Max-sliced Wasserstein concentration and uniform ratio bounds of empirical measures on RKHS

Johannes Wiesel, Cynthia Rush, Ruiyu Han

Generalizing Super/Sub MOT using weak L1 transport

Erhan Bayraktar, Dominykas Norgilas

Convergence of the pruning processes of stable Galton-Watson trees

Gabriel Hernan Berzunza, Anita Winter

A law of large numbers for kinetic interacting diffusions

Carlo Bellingeri, Fabio Coppini

Convergence in $\chi^2$ Distance to the Normal Distribution for Sums of Independent Random Variables

Vytas Zacharovas

Cecile Durot, Debarghya Mukherjee

Learning Topic Hierarchies by Tree-Directed Latent Variable Models

Sunrit Chakraborty, Rayleigh Lei, XuanLong Nguyen

Liberating dimension and  spectral norm: A universal approach to spectral properties of sample covariance matrices

Yanqing Yin

The soccer model, stochastic ordering and martingale transport

Nicolas Juillet

Hessian stability and convergence rates for entropic and Sinkhorn potentials via semiconcavity

Giacomo Greco, Luca Tamanini

Limiting laws for spiked eigenvalues and largest non-spiked eigenvalues of sample covariance matrices in elliptical distributions

Jiahui Xie, Long Yu, Wang Zhou

Comparing moments of real log-concave random variables

Daniel Murawski

The Limits of Assumption-free Tests for Algorithm Performance

Yuetian Luo, Rina Foygel Barber

Optimal level set estimation for non-parametric tournament and crowdsourcing problems

Maximilian Graf, Alexandra Carpentier, Nicolas Verzelen

Functional central limit theorem for the subgraph count of the voter model on dynamic random graphs

Simone Baldassarri, Nikolai Kriukov

On the breakdown point of transport-based quantiles

Alberto González Sanz, Marco Avella Medina

Discrete Feynman-Kac approximation for parabolic Anderson model using random walks

Panqiu Xia, Jiayu Zheng

A closed-form transition density expansion for elliptic and hypo-elliptic SDEs

Yuga Iguchi, Alexandros Beskos