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

On the Martingale Schr\"odinger Bridge between Two Distributions

Johannes Wiesel

Stochastic Gradient Descent for Nonparametric Additive Regression

Xin Chen, Jason M Klusowski

On a pinning model in correlated Gaussian random environments

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

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

 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

Does freezing impede the growth of random recursive trees?

Anna Brandenberger , Simon Briend, Hannah Cairns, Robin Khanfir, Igor Kortchemski

Heavy-tailed and Horseshoe priors for regression and sparse Besov rates

 Sergios Agapiou, Ismaël Castillo, Paul Egels

More powerful multiple testing under dependence via randomisation

Ziyu Xu, Aaditya Ramdas

Inference on location for noisy directional data: A Le Cam approach to quantify the value of the hyperspherical a priori information

Diego Bolon, Davy Paindaveine, Thomas Verdebout

The Poisson Multiplication Formula

Lorenzo Cristofaro, Giovanni Peccati

On the variational intensity of random  fields of bounded variation defined by inhomogeneous germ-grain models

Elena Villa

Joint independence from a Gaussian random variable

Ciprian A. Tudor, Yassine Nachit

The noise barrier and the large signal bias of the Lasso and other convex estimators

Pierre C. Bellec

 A Multiscale Perspective on Maximum Marginal Likelihood Estimation

 O. Deniz Akyildiz, Michela Ottobre, Iain Souttar

On $m$-points uniformity tests on hyperspheres

Alberto Fernández-de-Marcos, Eduardo García-Portugués, Thomas Verdebout

Occupation times for superprocesses in random environments

Ziling Cheng, Jieliang Hong, Dan Yao

Covariance scanning for adaptively optimal change point detection in high-dimensional linear models

Haeran Cho, Housen Li

Joint semi-parametric INAR bootstrap inference for model coefficients and innovation distribution

Maxime Faymonville, Carsten Jentsch

A stochastic heat equation with non-locally Lipschitz coefficients

Le Chen, Jingyu Huang, Wenxuan Tao

 Anti-Concentration Inequalities for the Difference of Maxima of Gaussian Random Vectors

Alexandre Belloni, Ethan Fang, Shuting Shen

Quenched large deviations for Monte Carlo integration with Coulomb gases

Stability of a Generalized Debiased Lasso with Applications to Resampling-Based Variable Selection

Jingbo Liu

Nonparametric Diffusivity Estimation for the Stochastic Heat Equation from Noisy Observations

Markus Reiß, Gregor Pasemann

Statistical inference of convex order by Wasserstein projection

Y.L. Ruan

Volterra equations with affine drift: looking for stationarity with application to the quadratic rough Heston model

Gilles Pagès

Convergence rate for nearest neighbour matching: geometry of the domain and higher-order regularity

Simon Viel, Lionel Truquet, Ikko Yamane

Phase transitions for contact processes on sparse random graphs via metastability and local limits

Benedikt Jahnel, Lukas Lüchtrath, Christian Mönch

Sefika Kuzgun, Ran Tao

Lévy processes as weak limits of rough Heston models

Alessandro Bondi, Martin Forde

High-dimensional Sobolev tests on hyperspheres

Bruno Ebner, Eduardo García-Portugués, Thomas Verdebout

Support and Distribution Inference from Noisy Data

Jérémie Capitao-Miniconi, Élisabeth Gassiat, Luc Lehéricy

Extreme Value Analysis based on Blockwise Top-Two Order Statistics

Axel Bücher, Erik Haufs

Extremal negative dependence and the strongly Rayleigh property

Hélène Cossette, Etienne Marceau, Alessandro Mutti, Patrizia Semeraro

Hadamard fractional Brownian motion: path properties and Wiener  integration

Luisa Beghin, Alessandro De Gregorio, Yuliya Mishura

Semi-supervised Community Detection using Glauber Dynamics for an Ising Model

Konstantin Avrachenkov, Diego Goldsztajn

Universality of Benign Overfitting in Binary Linear Classification

Ichiro Hashimoto, Stanislav Volgushev, Piotr Zwiernik

Heavy-tailed max-linear structural equation models in networks with hidden nodes

Mario Krali, Anthony Christopher Davison, Claudia Klüppelberg

Strong solutions for singular SDEs driven by long-range dependent fractional Brownian motion and other Volterra processes

Ercan Sönmez, Maximilian Buthenhoff

Construction of optimal tests for symmetry on the torus and their quantitative error bounds

Andreas Anastasiou, Christophe Ley, Sophia Loizidou

Asymptotic theory for Bayesian inference and prediction: from the ordinary to a conditional Peaks-Over-Threshold method

 Simone Andrea Padoan, Célement Dombry, Stefano Rizzelli

Truncated long-range percolation of words on the square lattice

Minimax and adaptive estimation of general linear functionals under sparsity

Jie Xie, Dongming Huang