David Huberman Huberman, D. B., Reich, B. J., & Bondell, H. D. (2022, August 26). Nonparametric conditional density estimation in a deep learning framework for short-term forecasting (May, 10.1007/s10651-021-00499-z, 2021). ENVIRONMENTAL AND ECOLOGICAL STATISTICS, Vol. 8. https://doi.org/10.1007/s10651-022-00543-6 Huberman, D. B., Reich, B. J., & Bondell, H. D. (2021, May 20). Nonparametric conditional density estimation in a deep learning framework for short-term forecasting. ENVIRONMENTAL AND ECOLOGICAL STATISTICS, Vol. 5. https://doi.org/10.1007/s10651-021-00499-z Huberman, D. B., Reich, B. J., Pacifici, K., & Collazo, J. A. (2020). Estimating the drivers of species distributions with opportunistic data using mediation analysis. ECOSPHERE, 11(6). https://doi.org/10.1002/ecs2.3165 Orgel, R., Wojdyla, D., Huberman, D., Halperin, J. L., Breithardt, G., Singer, D. E., … Patel, M. R. (2017, May). Noncentral Nervous System Systemic Embolism in Patients With Atrial Fibrillation Results From ROCKET AF (Rivaroxaban Once Daily, Oral, Direct Factor Xa Inhibition Compared With Vitamin K Antagonism for Prevention of Stroke and Embolism Trial in Atrial Fibrillation). CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES, Vol. 10. https://doi.org/10.1161/circoutcomes.116.003520