collaborators

10 papers

stat.ME2026

Analytic Standard Errors for Latent Gaussian Discrete-Valued Multivariate Time Series

Christopher M. Crawford, Marie-Christine Düker, Younghoon Kim +3

Unlike their continuous-valued counterparts, there are no universally preferred methodologies for modeling discrete-valued time series. This is especially problematic in fields suc…

math.PR2026

Breuer-Major Theorems for Hilbert Space-Valued Random Variables

Marie-Christine Düker, Pavlos Zoubouloglou

Let be a stationary Gaussian process with values in a separable Hilbert space , and let be a measurable…

math.PR2026

On extremes for Gaussian subordination

Shuyang Bai, Marie-Christine Duker

This paper investigates extreme value theory for processes obtained by applying transformations to stationary Gaussian processes, also called subordinated Gaussian processes. The m…

stat.ME2026

Testing common structure in high-dimensional factor models: change-point and two-sample procedures

Marie-Christine Düker, Vladas Pipiras

This work proposes a novel procedure to test for common structures across two high-dimensional factor models. The introduced test allows to uncover whether two factor models are dr…

stat.ME2026

Prior distributions for structured semi-orthogonal matrices

Michael Jauch, Marie-Christine Düker, Peter Hoff

Statistical models for multivariate data often include a semi-orthogonal matrix parameter. In many applications, there is reason to expect that the semi-orthogonal matrix parameter…

math.PR2025

The Fourth-Moment Theorem on Hilbert Spaces

Marie-Christine Düker, Pavlos Zoubouloglou

In this work, we establish conditions ensuring convergence in distribution of a sequence admitting a Wiener-Itô chaos representation to a nondegenerate Gaussian measure on a separ…