| Storm outage modeling for an electric distribution network in Northeastern USA DW Wanik, EN Anagnostou, BM Hartman, MEB Frediani, M Astitha Natural Hazards 79, 1359-1384, 2015 | 111 | 2015 |
| Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities DW Wanik, JR Parent, EN Anagnostou, BM Hartman Electric Power Systems Research 146, 236-245, 2017 | 84 | 2017 |
| Nonparametric tree‐based predictive modeling of storm outages on an electric distribution network J He, DW Wanik, BM Hartman, EN Anagnostou, M Astitha, MEB Frediani Risk Analysis 37 (3), 441-458, 2017 | 84 | 2017 |
| A case study on power outage impacts from future hurricane sandy scenarios DW Wanik, EN Anagnostou, M Astitha, BM Hartman, GM Lackmann, ... Journal of Applied Meteorology and Climatology 57 (1), 51-79, 2018 | 53 | 2018 |
| Systems and methods for outage prediction E Anagnostou, D Wanik, B Hartman, J He US Patent 11,144,835, 2021 | 26 | 2021 |
| Bayesian nonparametric predictive modeling of group health claims GW Fellingham, A Kottas, BM Hartman Insurance: Mathematics and Economics 60, 1-10, 2015 | 26 | 2015 |
| Estimating loss reserves using hierarchical Bayesian Gaussian process regression with input warping N Lally, B Hartman Insurance: Mathematics and Economics 82, 124-140, 2018 | 22 | 2018 |
| Synthesizing property & casualty ratemaking datasets using generative adversarial networks MP Cote, B Hartman, O Mercier, J Meyers, J Cummings, E Harmon arXiv preprint arXiv:2008.06110, 2020 | 18 | 2020 |
| Using a Bayesian regression approach on dual-model windstorm simulations to improve wind speed prediction J Yang, M Astitha, EN Anagnostou, BM Hartman Journal of Applied Meteorology and Climatology 56 (4), 1155-1174, 2017 | 16 | 2017 |
| Bayesian nonparametric regression models for modeling and predicting healthcare claims R Richardson, B Hartman Insurance: Mathematics and Economics 83, 1-8, 2018 | 15 | 2018 |
| Credibility in loss reserving P Shi, BM Hartman North American Actuarial Journal 20 (2), 114-132, 2016 | 15 | 2016 |
| Accounting for regime and parameter uncertainty in regime-switching models BM Hartman, MJ Heaton Insurance: Mathematics and Economics 49 (3), 429-437, 2011 | 15 | 2011 |
| Model selection and averaging in financial risk management BM Hartman, C Groendyke North American Actuarial Journal 17 (3), 216-228, 2013 | 14 | 2013 |
| Predictive modeling in long-term care insurance NR Lally, BM Hartman North American Actuarial Journal 20 (2), 160-183, 2016 | 12 | 2016 |
| Estimated time of restoration (ETR) guidance for electric distribution networks D Wanik, E Anagnostou, B Hartman, T Layton Journal of Homeland Security and Emergency Management 15 (1), 20160063, 2018 | 9 | 2018 |
| mshap: Shap values for two-part models S Matthews, B Hartman Risks 10 (1), 3, 2021 | 8 | 2021 |
| Predicting high-cost health insurance members through boosted trees and oversampling: An application using the HCCI database B Hartman, R Owen, Z Gibbs North American Actuarial Journal 25 (1), 53-61, 2020 | 6 | 2020 |
| Parameter uncertainty B Hartman, R Richardson, R Bateman Technical report, Casualty Actuarial Society, Canadian Institute of …, 2017 | 4 | 2017 |
| Model selection and averaging of health costs in episode treatment groups S Huang, B Hartman, V Brazauskas ASTIN Bulletin: The Journal of the IAA 47 (1), 153-167, 2017 | 4 | 2017 |
| Machine learning in ratemaking, an application in commercial auto insurance S Matthews, B Hartman Risks 10 (4), 80, 2022 | 3 | 2022 |
Emmanouil AnagnostouUniversity of ConnecticutVerified email at engr.uconn.edu
