Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022 | 171 | 2022 |
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ... Medrxiv, 2021.02. 03.21250974, 2021 | 90 | 2021 |
An open repository of real-time COVID-19 indicators A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ... Proceedings of the National Academy of Sciences 118 (51), e2111452118, 2021 | 50 | 2021 |
Fast training of support vector data description using sampling A Chaudhuri, DV Kakde, M Jahja, W Xiao, SH Kong, H Jiang, S Peredriy US Patent 9,830,558, 2017 | 23 | 2017 |
Peak criterion for choosing Gaussian kernel bandwidth in support vector data description D Kakde, A Chaudhuri, S Kong, M Jahja, H Jiang, J Silva Prognostics and Health Management (ICPHM), 2017 IEEE International …, 2017 | 21 | 2017 |
Sampling method for fast training of support vector data description A Chaudhuri, D Kakde, M Jahja, W Xiao, S Kong, H Jiang, S Percdriy 2018 Annual Reliability and Maintainability Symposium (RAMS), 1-7, 2018 | 16 | 2018 |
Kalman Filter, Sensor Fusion, and Constrained Regression: Equivalences and Insights M Jahja, DC Farrow, R Rosenfeld, RJ Tibshirani Advances in Neural Information Processing Systems 32, 2019 | 13 | 2019 |
Kernel parameter selection in support vector data description for outlier identification DV Kakde, A Chaudhuri, SH Kong, M Jahja, H Jiang, JMG da Silva US Patent 9,536,208, 2017 | 11 | 2017 |
Real-time estimation of COVID-19 infections: Deconvolution and sensor fusion M Jahja, A Chin, RJ Tibshirani Statistical Science 37 (2), 207-228, 2022 | 7 | 2022 |
Wichada La Motte-Kerr, Yeon Jin Lee, Kenneth Lee, Zachary C A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ... medRxiv, 2021 | 7 | 2021 |
Visualizing Clinical Significance with Prediction and Tolerance Regions M Jahja, DJ Lizotte Machine Learning for Healthcare Conference, 217-230, 2017 | 2 | 2017 |
Real-Time Estimation of COVID-19 Infections via Deconvolution and Sensor Fusion M Jahja, A Chin, RJ Tibshirani | 1 | 2021 |
Beyond Cases and Deaths: The Benefits of Auxiliary Data Streams In Tracking the COVID-19 Pandemic: An open repository of real-time COVID-19 indicators A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, S Agrawal, W Al Saeed, ... Proceedings of the National Academy of Sciences of the United States of …, 2021 | 1 | 2021 |
A Penalized Shared-parameter Algorithm for Estimating Optimal Dynamic Treatment Regimens P Ghosh, T Nalamada, S Agarwal, M Jahja, B Chakraborty arXiv preprint arXiv:2107.07875, 2021 | 1 | 2021 |
Statistical Challenges in Tracking the Evolution of SARS-CoV-2........................... Lorenzo Cappello, Jaehee Kim, Sifan Liu and Julia A. Palacios 162 Interoperability of … H Ge, RJB Goudie, R Jersakova, RE King, BCL Lehmann, AM Mallon, ... Statistical Science [ISSN 0883-4237 (print); ISSN 2168-8745 (online)] 37 (2), 2022 | | 2022 |
Sensor Fusion Frameworks for Nowcasting M Jahja Carnegie Mellon University, 2022 | | 2022 |
Real-Time Estimation of COVID-19 Infections: Deconvolution and Sensor Fusion (preprint) M Jahja, A Chin, RJ Tibshirani | | 2021 |
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US (preprint) EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, AJC Rivadeneira, ... | | 2021 |
An Open Repository of Real-Time COVID-19 Indicators (preprint) A Reinhart, L Brooks, M Jahja, A Rumack, J Tang, W Al Saeed, T Arnold, ... | | 2021 |
Investigating Ground Truth Measures of Seasonal Influenza via Digital Surveillance Nowcasting M Jahja, RJ Tibshirani, M Biggerstaff | | 2018 |