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20172026
most citedAn Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias

14 citations · 20 across the 11 of their papers we have counts for

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Showing stat.MEShow all

5 papers · 1 filter

stat.ME2026

Graph structure learning for stable processes

Florian Brück, Sebastian Engelke, Stanislav Volgushev

We introduce Ising-Hüsler-Reiss processes, a new class of multivariate Lévy processes that allows for sparse modeling of the path-wise conditional independence structure between ma…

stat.ME2025

Simultaneous hypothesis testing for comparing many functional means

Colin Decker, Dehan Kong, Stanislav Volgushev

Data with multiple functional recordings at each observational unit are increasingly common in various fields including medical imaging and environmental sciences. To conduct infer…

stat.ME2023

Change-point Inference for High-dimensional Heteroscedastic Data

Teng Wu, Stanislav Volgushev, Xiaofeng Shao

We propose a bootstrap-based test to detect a mean shift in a sequence of high-dimensional observations with unknown time-varying heteroscedasticity. The proposed test builds on th…

stat.ME2018

Testing relevant hypotheses in functional time series via self-normalization

Holger Dette, Kevin Kokot, Stanislav Volgushev

In this paper we develop methodology for testing relevant hypotheses about functional time series in a tuning-free way. Instead of testing for exact equality, for example for the e…

stat.ME2018

Model assessment for time series dynamics using copula spectral densities: a graphical tool

Stefan Birr, Tobias Kley, Stanislav Volgushev

Finding parametric models that accurately describe the dependence structure of observed data is a central task in the analysis of time series. Classical frequency domain methods pr…