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

Asymptotics of Numerical Integration for Two-Level Mixed Models

Blair Bilodeau, Alex Stringer, Yanbo Tang

Nonparametric logistic regression with deep learning

Atsutomo Yara, Yoshikazu Terada

Principles of Statistical Inference in Online Problems

Man Fung Leung, Kin Wai Chan

Ole Eiler Barndorff-Nielsen

Mark Podolskij

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

Clément Berenfeld, Alexandra Carpentier, Nicolas Verzelen

Learning latent tree models with small query complexity

Luc Devroye, Gabor Lugosi, Piotr Zwiernik

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

Holger Dette, Jiajun Tang

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

Stability of Khintchine inequalities with optimal constants between the second and the $p$-th moment for $p \ge 3$

Jacek Jakimiuk

Stochastic Gradient Descent for Nonparametric Additive Regression

Xin Chen, Jason M Klusowski

Cram\'{e}r-type  moderate deviations of drift estimation in stochastic heat equation

Hui Jiang, Jingying Zhou

On a pinning model in correlated Gaussian random environments

Zi'an Li, Jian Song, Ran Wei, Hang Zhang

On a population model with memory

Jean Bertoin

Maximum likelihood estimation for Brownian motion tree models based on one sample

Chandler Squires, Michael Truell, Jan-Christian Huetter, Piotr Zwiernik, Caroline Uhler

Bootstrapping LASSO estimators under variable selection consistency in high dimensions  and some higher order refinements

Debraj Das, Arindam Chatterjee, Soumendra Lahiri

Voter model stability with respect to conservative noises

Gideon Amir, Omer Angel, Rangel Baldasso, Daniel de la Riva

Optimal Confidence Bands for Shape-restricted Regression in Multidimensions

Ashley Datta, Somabha Mukherjee, Bodhisattva Sen

Debiased Estimation and Variable Selection under Function-on-Scalar Linear Regression Models with Ultrahigh-Dimensional Covariates subject to Measurement Error