A distribution-free m-out-of-n bootstrap approach to testing symmetry about an unknown median. - Vyacheslav Lyubchich; Xingyu Wang; Andrew Heyes; Yulia R. Gel (Comput. Stat. Data Anal., 2016)

A local factor nonparametric test for trend synchronism in multiple time series. - Vyacheslav Lyubchich; Yulia R. Gel (J. Multivar. Anal., 2016)

Estimation of river and stream temperature trends under haphazard sampling. - Brian R. Gray; Vyacheslav Lyubchich; Yulia R. Gel; James T. Rogala; Dale M. Robertson; Xiaoqiao Wei (Stat. Methods Appl., 2016)

Deep Ensemble Classifiers and Peer Effects Analysis for Churn Forecasting in Retail Banking. - Yuzhou Chen; Yulia R. Gel; Vyacheslav Lyubchich; Todd Winship (PAKDD (1), 2018)

Snowboot: Bootstrap Methods for Network Inference. - Yuzhou Chen; Yulia R. Gel; Vyacheslav Lyubchich; Kusha Nezafati (R J., 2018)

Deep Learning for Improved Agricultural Risk Management. - Nathaniel K. Newlands; Azar Ghahari; Yulia R. Gel; Vyacheslav Lyubchich; Tahir Mahdi (HICSS, 2019)

A Multi-Stage Machine Learning Approach to Predict Dengue Incidence: A Case Study in Mexico. - Annalisa Appice; Yulia R. Gel; Iliyan Iliev; Vyacheslav Lyubchich; Donato Malerba (IEEE Access, 2020)

Elements of Copula Modeling With R. - Vyacheslav Lyubchich (Technometrics, 2020)

Spatial Ecology and Conservation Modeling: Applications With R. - Srishti Vishwakarma; Vyacheslav Lyubchich (Technometrics, 2020)

Time Series Clustering and Classification. - Srishti Vishwakarma; Vyacheslav Lyubchich (Technometrics, 2021)

GraphBoot: Quantifying Uncertainty in Node Feature Learning on Large Networks. - Cuneyt Gurcan Akcora; Yulia R. Gel; Murat Kantarcioglu; Vyacheslav Lyubchich; Bhavani Thuraisingham (IEEE Trans. Knowl. Data Eng., 2021)

Modern Data Science with R (2nd ed.): by Benjamin S. Baumer, Daniel T. Kaplan, and Nicholas J. Horton, Boca Raton, FL: Chapman and Hall/CRC Press, 2021, 650 pp., $99.95 (Hardback), ISBN: 978-0-36-719149-8. - Kohma Arai; Vyacheslav Lyubchich (Technometrics, 2022)