activity
20172023
most citedTime-dependent spatially varying graphical models, with application to brain fMRI data analysis

7 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

math.PR2023

Anti-concentration of Suprema of Gaussian Processes and Gaussian Order Statistics

Alexander Giessing

We derive, up to a constant factor, matching lower and upper bounds on the concentration functions of suprema of separable centered Gaussian processes and order statistics of Gauss…

math.ST2023

Gaussian and Bootstrap Approximations for Suprema of Empirical Processes

Alexander Giessing

In this paper we develop non-asymptotic Gaussian approximation results for the sampling distribution of suprema of empirical processes when the indexing function class $\mathcal{F}…

math.ST2023★ 1 cited

A Bootstrap Hypothesis Test for High-Dimensional Mean Vectors

Alexander Giessing, Jianqing Fan

This paper is concerned with testing global null hypotheses about population mean vectors of high-dimensional data. Current tests require either strong mixing (independence) condit…

stat.ME2021★ 1 cited

Debiased Inference on Heterogeneous Quantile Treatment Effects with Regression Rank-Scores

Alexander Giessing, Jingshen Wang

Understanding treatment effect heterogeneity is vital to many scientific fields because the same treatment may affect different individuals differently. Quantile regression provide…

math.ST2020★ 1 cited

Bootstrapping -Statistics in High Dimensions

Alexander Giessing, Jianqing Fan

This paper considers a new bootstrap procedure to estimate the distribution of high-dimensional -statistics, i.e. the -norms of the sum of independent -dimen…

math.ST2018

On the Predictive Risk in Misspecified Quantile Regression

Alexander Giessing, Xuming He

In the present paper we investigate the predictive risk of possibly misspecified quantile regression functions. The in-sample risk is well-known to be an overly optimistic estimate…