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~isPartOf:"Insurance / Mathematics & economics"
~subject:"Bayesian inference"
~subject:"Nichtparametrisches Verfahren"
~subject:"Volatilität"
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Bayesian inference
Nichtparametrisches Verfahren
Volatilität
Bayes-Statistik
46
Theorie
32
Theory
32
Forecasting model
13
Prognoseverfahren
13
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Wüthrich, Mario V.
3
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2
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Insurance / Mathematics & economics
Journal of econometrics
174
Discussion paper / Tinbergen Institute
132
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
123
Working paper
123
International journal of forecasting
118
Economic modelling
90
Journal of applied econometrics
88
European journal of operational research : EJOR
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Journal of the American Statistical Association : JASA
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Discussion papers / CEPR
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Economics letters
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Working paper series / European Central Bank
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CESifo working papers
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58
Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
57
Journal of forecasting
57
Discussion paper
56
Marketing science : the marketing journal of the Institute for Operations Research and the Management Sciences
52
NBER working paper series
52
Discussion paper / Centre for Economic Policy Research
51
IMF working papers
49
International journal of production research
49
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
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Applied economics
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Journal of macroeconomics
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Working paper / National Bureau of Economic Research, Inc.
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ECONIS (ZBW)
46
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46
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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
Saved in:
6
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
Saved in:
7
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:
8
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
Saved in:
9
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:
10
Modeling mortality with a Bayesian vector autoregression
Njenga, Carolyn Ndigwako
;
Sherris, Michael
- In:
Insurance / Mathematics & economics
94
(
2020
),
pp. 40-57
Persistent link: https://www.econbiz.de/10012419110
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