Brian M. Hartman, Ph.D.
Affiliations: | 2010 | Texas A & M University, College Station, TX, United States |
Area:
Statistics, Marketing Business AdministrationGoogle:
"Brian Hartman"Parents
Sign in to add mentor| Bani Mallick | grad student | 2010 | Texas A & M | |
| (Bayesian hierarchical, semiparametric, and nonparametric methods for international new product diffusion.) | ||||
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Publications
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| Hartman B, Owen R, Gibbs Z. (2020) Predicting High-Cost Health Insurance Members through Boosted Trees and Oversampling: An Application Using the HCCI Database The North American Actuarial Journal. 1-9 |
| Hartman B, Groendyke C, Engler D. (2020) Bayesian multivariate regime-switching models and the impact of correlation structure misspecification in variable annuity pricing Scandinavian Actuarial Journal. 2020: 152-171 |
| Pugh S, Heaton MJ, Hartman B, et al. (2019) Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data. Statistics in Medicine |
| Wanik DW, Anagnostou EN, Astitha M, et al. (2018) A Case Study on Power Outage Impacts from Future Hurricane Sandy Scenarios Journal of Applied Meteorology and Climatology. 57: 51-79 |
| Lally N, Hartman B. (2018) Estimating loss reserves using hierarchical Bayesian Gaussian process regression with input warping Insurance Mathematics & Economics. 82: 124-140 |
| Richardson R, Hartman B. (2018) Bayesian nonparametric regression models for modeling and predicting healthcare claims Insurance Mathematics & Economics. 83: 1-8 |
| He J, Wanik DW, Hartman BM, et al. (2017) Nonparametric Tree-Based Predictive Modeling of Storm Outages on an Electric Distribution Network. Risk Analysis : An Official Publication of the Society For Risk Analysis. 37: 441-458 |
| Huang S, Hartman BM, Brazauskas V. (2017) Model Selection and Averaging of Health Costs in Episode Treatment Groups Astin Bulletin. 47: 153-167 |
| Yang J, Astitha M, Anagnostou EN, et al. (2017) Using a Bayesian Regression Approach on Dual-Model Windstorm Simulations to Improve Wind Speed Prediction Journal of Applied Meteorology and Climatology. 56: 1155-1174 |
| Wanik DW, Parent JR, Anagnostou EN, et al. (2017) Using vegetation management and LiDAR-derived tree height data to improve outage predictions for electric utilities Electric Power Systems Research. 146: 236-245 |