Test of independence for functional data. - Lajos Horváth; Marie Husková; Gregory Rice (J. Multivar. Anal., 2013)

Adaptive bandwidth selection in the long run covariance estimator of functional time series. - Lajos Horváth; Gregory Rice; Stephen Whipple (Comput. Stat. Data Anal., 2016)

On the asymptotic normality of kernel estimators of the long run covariance of functional time series. - István Berkes; Lajos Horváth; Gregory Rice (J. Multivar. Anal., 2016)

Inference for the autocovariance of a functional time series under conditional heteroscedasticity. - Piotr Kokoszka; Gregory Rice; Han Lin Shang (J. Multivar. Anal., 2017)

Asymptotics for empirical eigenvalue processes in high-dimensional linear factor models. - Lajos Horváth; Gregory Rice (J. Multivar. Anal., 2019)

Functional time series model identification and diagnosis by means of auto- and partial autocorrelation analysis. - Guillermo Mestre; José Portela; Gregory Rice; Antonio Muñoz San Roque; Estrella Alonso (Comput. Stat. Data Anal., 2021)

Change point analysis of covariance functions: A weighted cumulative sum approach. - Lajos Horváth; Gregory Rice; Yuqian Zhao (J. Multivar. Anal., 2022)

Testing for changes in linear models using weighted residuals. - Lajos Horváth; Gregory Rice; Yuqian Zhao (J. Multivar. Anal., 2023)

Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis. - Weitong Huang; Hanna Suominen; Tommy Liu; Gregory Rice; Carlos Salomon; Amanda S. Barnard (J. Biomed. Informatics, 2023)

Using random forests to uncover the predictive power of distance-varying cell interactions in tumor microenvironments. - Jeremy Vanderdoes; Claire Marceaux; Kenta Yokote; Marie-Liesse Asselin-Labat; Gregory Rice; Jack D. Hywood (PLoS Comput. Biol., 2024)