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20212026
most citedVector AutoRegressive Moving Average Models: A Review

3 citations · 4 across the 5 of their papers we have counts for

collaborators

7 papers

math.PR2026

Long-memory Hermite functional processes in functional time series spectral asymptotics

M. C. Düker, P. Zoubouloglou, M. D. Ruiz-Medina

Functional Non-Central Limit Theorems (NCLTs) are derived, in the functional spectral domain (see RuizMedina, 2022), for square integrable transformations, mapping an H_{1}-valued…

stat.ME2026

RKHS-Based Inference for Nonlinear Granger Causality via Conditional Centering

Yuhan Tian, Adam Waterbury, Marie-Christine Düker

Granger causality is commonly formulated through linear prediction in vector autoregressive models, limiting its ability to detect nonlinear predictive relationships. We propose a…

math.PR2025

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.ME2024★ 3 cited

Vector AutoRegressive Moving Average Models: A Review

Marie-Christine Düker, David S. Matteson, Ruey S. Tsay +1

Vector AutoRegressive Moving Average (VARMA) models form a powerful and general model class for analyzing dynamics among multiple time series. While VARMA models encompass the Vect…

stat.ME2023★ 1 cited

Latent Gaussian dynamic factor modeling and forecasting for multivariate count time series

Younghoon Kim, Marie-Christine Düker, Zachary F. Fisher +1

This work considers estimation and forecasting in a multivariate, possibly high-dimensional count time series model constructed from a transformation of a latent Gaussian dynamic f…

math.ST2022

Higher-order approximation for uncertainty quantification in time series analysis

Annika Betken, Marie-Christine Düker

For time series with high temporal correlation, the empirical process converges rather slowly to its limiting distribution. Many statistics in change-point analysis, goodness-of-fi…

q-bio.QM2021

Clustering Future Scenarios Based on Predicted Range Maps

Matthew Davidow, Cory Merow, Judy Che-Castaldo +4

Predictions of biodiversity trajectories under climate change are crucial in order to act effectively in maintaining the diversity of species. In many ecological applications, futu…