Preprint

Distances for Markov chains from sample streams

Sergio Calo, Anders Jonsson, Gergely Neu, Ludovic Schwartz, Javier Segovia-Aguas

Differential Machine Learning for Time Series Prediction

Akash Yadav, Eulalia Nualart

Improving variable selection properties by leveraging external data

Paul Rognon-Vael, David Rossell, Piotr Zwiernik

Temporal connectivity of Random Geometric Graphs

Anna Brandenberger, Serte Donderwinkel, Céline Kerriou, Gábor Lugosi, Rivka Mitchell

Fractional interacting particle system: drift parameter estimation via Malliavin calculus

Chiara Amorino, Ivan Nourdin, Radomyra Shevchenko

Multivariate Poisson approximation of joint subgraph counts in random graphs via size-biased couplings

Eulalia Nualart, Rui-Ray Zhang

Universality of Benign Overfitting in Binary Linear Classification

Ichiro Hashimoto, Stanislav Volgushev, Piotr Zwiernik

On the well-posedness of SPDEs with locally Lipschitz coefficients

Mohammud Foondun, Davar Khoshnevisan, Eulalia Nualart

Semi-parametric local variable selection under misspecification

David Rossell, Arnold Kisuk Kseung, Ignacio Saez, Michele Guindani

Bayesian variance change point detection with credible sets

Lorenzo Cappello, Oscar Hernan Madrid Padilla