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Insurance / Mathematics & economics
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ECONIS (ZBW)
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1
The choice of sample size for mortality forecasting : a Bayesian learning approach
Li, Hong
;
De Waegenaere, Anja
;
Melenberg, Bertrand
- In:
Insurance / Mathematics & economics
63
(
2015
),
pp. 153-168
Persistent link: https://www.econbiz.de/10011349841
Saved in:
2
Improved index insurance design and yield estimation using a dynamic factor forecasting approach
Li, Hong
;
Porth, Lysa
;
Tan, Ken Seng
;
Zhu, Wenjun
- In:
Insurance / Mathematics & economics
96
(
2021
),
pp. 208-221
Persistent link: https://www.econbiz.de/10012482856
Saved in:
3
Gompertz law revisited : forecasting mortality with a multi-factor exponential model
Li, Hong
;
Tan, Ken Seng
;
Tuljapurkar, Shripad
;
Zhu, Wenjun
- In:
Insurance / Mathematics & economics
99
(
2021
),
pp. 268-281
Persistent link: https://www.econbiz.de/10012649232
Saved in:
4
Forecasting mortality with international linkages : a global vector-autoregression approach
Li, Hong
;
Shi, Yanlin
- In:
Insurance / Mathematics & economics
100
(
2021
),
pp. 59-75
Persistent link: https://www.econbiz.de/10012622381
Saved in:
5
A forecast reconciliation approach to cause-of-death mortality modeling
Li, Han
;
Li, Hong
;
Lu, Yang
;
Panagiotelis, Anastasios
- In:
Insurance / Mathematics & economics
86
(
2019
),
pp. 122-133
Persistent link: https://www.econbiz.de/10012058845
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