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Insurance / Mathematics & economics
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ECONIS (ZBW)
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1
Hierarchical Bayesian Gaussian process regression model for loss reserving using combinations of squared exponential kernels
Ang, Zi Qing
;
Lee, See Keong
- In:
Insurance / Mathematics & economics
105
(
2022
),
pp. 54-63
Persistent link: https://www.econbiz.de/10013348919
Saved in:
2
Exact credibility reference Bayesian premiums
Gómez-Déniz, Emilio
;
Vázquez-Polo, Francisco José
- In:
Insurance / Mathematics & economics
105
(
2022
),
pp. 128-143
Persistent link: https://www.econbiz.de/10013348977
Saved in:
3
Stochastic loss reserving with mixture density neural networks
Al-Mudafer, Muhammed Taher
;
Avanzi, Benjamin
;
Taylor, Greg
- In:
Insurance / Mathematics & economics
105
(
2022
),
pp. 144-174
Persistent link: https://www.econbiz.de/10013348990
Saved in:
4
Robust Bayesian estimation and prediction in gamma-gamma model of claim reserves
Boratyńska, Agata
;
Zielińska-Kolasińska, Zofia
- In:
Insurance / Mathematics & economics
105
(
2022
),
pp. 194-202
Persistent link: https://www.econbiz.de/10013349008
Saved in:
5
Earthquake parametric insurance with Bayesian spatial quantile regression
Pai, Jeffrey
;
Li, Yunxian
;
Yang, Aijun
;
Li, Chenxu
- In:
Insurance / Mathematics & economics
106
(
2022
),
pp. 1-12
Persistent link: https://www.econbiz.de/10013380433
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6
Incorporating statistical clustering methods into mortality models to improve forecasting performances
Tsai, Cary Chi-Liang
;
Cheng, Echo Sihan
- In:
Insurance / Mathematics & economics
99
(
2021
),
pp. 42-62
Persistent link: https://www.econbiz.de/10012649207
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7
Pooling mortality risk in Eurozone state pension liabilities : an application of a Bayesian coherent multi-population cohort-based mortality model
McCarthy, David
;
Wang, Po-Lin
- In:
Insurance / Mathematics & economics
99
(
2021
),
pp. 459-485
Persistent link: https://www.econbiz.de/10012649243
Saved in:
8
Bayesian credibility under a bivariate prior on the frequency and the severity of claims
Cheung, Eric C. K.
;
Ni, Weihong
;
Oh, Rosy
;
Woo, Jae-Kyung
- In:
Insurance / Mathematics & economics
100
(
2021
),
pp. 274-295
Persistent link: https://www.econbiz.de/10012622393
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9
Approximate Bayesian Computations to fit and compare insurance loss models
Goffard, Pierre-Olivier
;
Laub, Patrick J.
- In:
Insurance / Mathematics & economics
100
(
2021
),
pp. 350-371
Persistent link: https://www.econbiz.de/10012622398
Saved in:
10
A hierarchical model for the joint mortality analysis of pension scheme data with missing covariates
Ungolo, Francesco
;
Kleinow, Torsten
;
Macdonald, Angus
- In:
Insurance / Mathematics & economics
91
(
2020
),
pp. 68-84
Persistent link: https://www.econbiz.de/10012241988
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