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

On the Martingale Schr\"odinger Bridge between Two Distributions

Johannes Wiesel

Statistical Inference for Bures-Wasserstein Flows

Leonardo Vincenzo Santoro, Victor Michael Panaretos

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

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

Large deviations for Independent Metropolis Hastings and Metropolis-adjusted Langevin algorithm

Federica Milinanni, Pierre Nyquist

Spectral independence of almost fully correlated random matrices

Oleksii Kolupaiev

Central limit theorems for random boundary polytopes

Matthias Reitzner, Mathias Sonnleitner

Finite-Dimensional Gaussian Approximation for Deep Neural Networks: Universality in Random Weights

Krishnakumar Balasubramanian, Nathan Ross

Asymptotics of resampling without replacement in robust and logistic regression

Takuya Koriyama, Pierre C Bellec

Theoretical Analysis of Transfer Learning for Temporally Dependent Observations

Abolfazl Safikhani, Mingliang Ma

E-Values for Exponential Families: the General Case

Yunda Hao, Peter Grunwald

Mixing Phases and Metastability for the Glauber Dynamics on the p-Spin Curie-Weiss Model

Ramkrishna Jyoti Samanta, Somabha Mukherjee, Jiang Zhang

Asymptotic analysis of the finite predictor for the fractional Gaussian noise

Pavel Chigansky, Marina Kleptsyna

Parameter estimation from local measurements for a class of stochastic Burgers equations

Josef Janak, Enrico Priola

Bicausal optimal transport for SDEs with irregular coefficients

Michaela Hitz, Benjamin Alexander Robinson

Optimal rates for estimating the covariance kernel from synchronously sampled functional data

Max Berger, Hajo Holzmann

Likelihood-based Spacings Goodness-of-Fit Statistics for Univariate Shape-constrained Densities

Kwun Chuen Gary Chan, Hok Kan Ling, Chuan-Fa Tang, Shueng Chi Phillip Yam

Stratified permutational Berry-Esseen bounds and their applications to statistics

Peng Ding

Estimating the hyperuniformity exponent of spatial point processes

Gabriel Mastrilli, Bartlomiej Blaszczyszyn, Frédéric Lavancier

Detecting Practically Significant Dependencies in Metric Spaces via Distance Correlations

Holger Dette, Marius Kroll

Structural adaptation and rate accelerated estimation in bivariate functional data

Omar Kassi, Sunny G. W. Wang

 Dynamics of rotationally invariant polynomial root sets under iterated differentiations

André Galligo, Joseph Najnudel, Truong Vu

On continuity of Chatterjee’s rank correlation and related dependence measures

 Jonathan Ansari, Sebastian Fuchs

Minimax rates in variance and covariance change-point testing

Per August Jarval Moen

Local limits of random spanning trees in random environment

Luca Makowiec

On the number of modes of Gaussian kernel density estimators

Borjan Geshkovski, Philippe Rigollet, Yihang Sun

Cram\'{e}r-type moderate deviations for the isotonic estimator in the white noise model

Fuqing Gao, Hui Jiang, Xingqiu Zhao

Polyspectral Mean Estimation of General Nonlinear Processes

 Dhrubajyoti Ghosh, Tucker McElroy, Soumendra N Lahiri

The broken sample problem revisited: Proof of a conjecture by Bai-Hsing and high-dimensional extensions

Simiao Jiao, Yihong Wu, Jiaming Xu

Limit distributions for cycles of random parking functions

J. E. Paguyo

Linear Discriminant Regularized Regression

Xin Bing, Bingqing Li, Marten Wegkamp

Consistency of the bootstrap for asymptotically linear estimators with nuisance parameters

  Zhou Tang, Ted Westling

A necessary and sufficient condition for convergence in distribution of the quantile process in L1(0,1)

Brendan Kinnane Beare, Tetsuya Kaji

Moderate-to-large deviation asymptotics for real eigenvalues of the elliptic Ginibre matrices

 Sung-Soo Byun, Jonas Jalowy, Yong-Woo Lee, Grégory Schehr

Graphon particle system with common noise

Erhan Bayraktar, Xihao He, Donghan Kim

Graphon Estimation in bipartite graphs with observable weights and unobservable node labels

Arnak Dalalyan, Etienne Donnier-Meroz, Francis Kramarz, Philippe Choné, Xavier D'Haultfoeuille

Quantification of limit theorems for Hawkes processes

   Laure Coutin, Benjamin Massat, Anthony Réveillac

Low-Rank Graphon Estimation: Theory and Applications to Graphon Games

Olga Klopp, Fedor Noskov

Hadamard Langevin Dynamics for sampling the l1-prior

Ivan Cheltsov, Federico Cornalba, Clarice Poon, Tony Shardlow

Simultaneous Inference for  Time-Inhomogeneous Nonlinear Time Series  Regression

Xiucai Ding, Zhou Zhou

Contraction rates for conjugate gradient and Lanczos approximate posteriors in Gaussian process regression

Bernhard Stankewitz, Botond Szabo

Robust Functional Data Analysis for Stochastic Evolution Equations in Infinite Dimensions

Dennis Schroers

Nonparametric estimation of trawl processes: Theory and Applications

Orimar Sauri, Almut Elisabeth Dorothea Veraart