Paulo Orenstein

S2S reboot: An argument for greater inclusion of machine learning in subseasonal to seasonal forecasts

Judah Cohen, Dim Coumou, Jessica Hwang et al. · Wiley Interdisciplinary Reviews Climate Change · 2018 · 112 citations · Full text

Artificial Intelligence, Forecasting Methodology, Engineering +23

Improving Subseasonal Forecasting in the Western U.S. with Machine Learning

Jessica Hwang, Paulo Orenstein, Judah Cohen et al. · 2019 · 72 citations · Full text

Forecasting Methodology, Hydrological Prediction, Engineering +20

Scalable Approximate MCMC Algorithms for the Horseshoe Prior

James E. Johndrow, Paulo Orenstein, Anirban Bhattacharya · Journal of Machine Learning Research · 2020 · 40 citations

Engineering, Horseshoe Prior, Statistical Inference +5

Adaptive bias correction for improved subseasonal forecasting

Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler et al. · Nature Communications · 2023 · 36 citations · Full text

Forecasting Methodology, Engineering, Machine Learning +20

Bayes Shrinkage at GWAS scale: Convergence and Approximation Theory of a Scalable MCMC Algorithm for the Horseshoe Prior

James E. Johndrow, Paulo Orenstein, Anirban Bhattacharya · arXiv (Cornell University) · 2017 · 23 citations · Full text

Bayesian Statistic, Engineering, Machine Learning +20