| A forecast reconciliation approach to cause-of-death mortality modeling H Li, H Li, Y Lu, A Panagiotelis Insurance: Mathematics and Economics 86, 122-133, 2019 | 53 | 2019 |
| Equity and effectiveness of Australian small-scale solar schemes R Best, A Chareunsy, H Li ecological economics 180, 106890, 2021 | 41 | 2021 |
| A semiparametric panel approach to mortality modeling H Li, C O’Hare, X Zhang Insurance: Mathematics and Economics 61, 264-270, 2015 | 36 | 2015 |
| Actual uptake of home batteries: The key roles of capital and policy R Best, H Li, S Trück, C Truong Energy Policy 151, 112186, 2021 | 35 | 2021 |
| Modeling multi-state health transitions in China: A generalized linear model with time trends K Hanewald, H Li, AW Shao Annals of Actuarial Science 13 (1), 145–165, 2019 | 30 | 2019 |
| Pricing extreme mortality risk in the wake of the COVID-19 pandemic H Li, H Liu, Q Tang, Z Yuan Insurance: Mathematics and Economics 108, 84-106, 2023 | 24 | 2023 |
| Analyzing mortality bond indexes via hierarchical forecast reconciliation H Li, Q Tang ASTIN Bulletin: The Journal of the IAA 49 (3), 823-846, 2019 | 23 | 2019 |
| Semi-parametric extensions of the Cairns–Blake–Dowd model: A one-dimensional kernel smoothing approach H Li, C O’Hare Insurance: Mathematics and Economics 77, 166-176, 2017 | 22 | 2017 |
| Joint Extremes in Temperature and Mortality: A Bivariate POT Approach H Li, Q Tang North American Actuarial Journal, 1-21, 2020 | 21 | 2020 |
| Two‐Dimensional Kernel Smoothing of Mortality Surface: An Evaluation of Cohort Strength H Li, C O'hare, F Vahid Journal of Forecasting 35 (6), 553-563, 2016 | 20 | 2016 |
| A flexible functional form approach to mortality modeling: Do we need additional cohort dummies? H Li, C O'hare, F Vahid Journal of Forecasting 36 (4), 357-367, 2017 | 18 | 2017 |
| Assessing mortality inequality in the US: What can be said about the future? H Li, RJ Hyndman Insurance: Mathematics and Economics 99, 152-162, 2021 | 17 | 2021 |
| Healthy Life Expectancy in China: Modeling and Implications for Public and Private Insurance H Li, K Hanewald, S Wu Annals of Actuarial Science, 2020 | 13 | 2020 |
| Boosting domain-specific models with shrinkage: An application in mortality forecasting L Li, H Li, A Panagiotelis International Journal of Forecasting 41 (1), 191-207, 2025 | 11 | 2025 |
| Constructing hierarchical time series through clustering: Is there an optimal way for forecasting? B Zhang, A Panagiotelis, H Li International Journal of Forecasting 41 (3), 1022-1036, 2025 | 8 | 2025 |
| The stochastic behavior of electricity prices under scrutiny: Evidence from spot and futures markets JF Bégin, F Gómez, K Ignatieva, H Li Energy Economics 144, 108296, 2025 | 6 | 2025 |
| Analysing premature cardiovascular disease mortality in the United States by obesity status and educational attainment H Li, T Adair BMC medicine 22 (1), 533, 2024 | 6 | 2024 |
| Hierarchical mortality forecasting with EVT tails: An application to solvency capital requirement H Li, H Chen International Journal of Forecasting 40 (2), 549-563, 2024 | 5 | 2024 |
| Mortality forecasting: How far back should we look in time? H Li, C O’Hare Risks 7 (1), 22, 2019 | 5 | 2019 |
| Wildfire loss modeling: A flexible semiparametric approach N Raveendran, H Zhu, H Li, G Sofronov North American Actuarial Journal 29 (2), 329-344, 2025 | 3 | 2025 |
Katja HanewaldUniversity of New South Wales, School of Risk & Actuarial Studies and CEPARVerified email at unsw.edu.au
