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Subject
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Dependency modeling 5 Claims reserving 3 Association rule mining 2 Business intelligence 2 Change and deviation detection 2 Classification 2 Data mining 2 Food industry 2 Generalized estimating equations 2 IM10 2 IM20 2 IM40 2 Mean square error estimation 2 Model selection criterion 2 Product portfolio management 2 Seasonal time series forecasting 2 Theorie 2 Theory 2 copula regression 2 dependency modeling 2 government insurance 2 inflated count model 2 tweedie distribution 2 Conditional least squares 1 Copula 1 Data Mining 1 Ernährungsindustrie 1 Estimation theory 1 Forecasting model 1 Generalisiertes lineares Modell 1 Generalized linear model 1 IM11 1 Inflation 1 Insurance 1 Modellierung 1 Multivariate Verteilung 1 Multivariate distribution 1 Portfolio selection 1 Portfolio-Management 1 Prognoseverfahren 1
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Online availability
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Free 4 Undetermined 2
Type of publication
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Article 7
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Article 2
Language
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English 5 Undetermined 2
Author
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Pešta, Michal 3 Frees, Edward W. 2 Helms, Remko 2 Hudecová, Šárka 2 Lee, Gee 2 Otten, Sjors 2 Yang, Lu 2 Okhrin, Ostap 1 Spruit, Marco 1 Spruit, Marco René 1
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Published in...
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Decision Analytics 2 Insurance: Mathematics and Economics 2 Insurance / Mathematics & economics 1 Risks 1 Risks : open access journal 1
Source
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ECONIS (ZBW) 3 EconStor 2 RePEc 2
Showing 1 - 7 of 7
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Multivariate frequency-severity regression models in insurance
Frees, Edward W.; Lee, Gee; Yang, Lu - In: Risks 4 (2016) 1, pp. 1-36
, requiring complex dependency modeling. We find significant dependencies for these data; specifically, we find that dependencies …
Persistent link: https://www.econbiz.de/10011709549
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Multivariate frequency-severity regression models in insurance
Frees, Edward W.; Lee, Gee; Yang, Lu - In: Risks : open access journal 4 (2016) 1, pp. 1-36
, requiring complex dependency modeling. We find significant dependencies for these data; specifically, we find that dependencies …
Persistent link: https://www.econbiz.de/10011443697
Saved in:
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Towards decision analytics in product portfolio management
Otten, Sjors; Spruit, Marco; Helms, Remko - In: Decision Analytics 2 (2015) 1, pp. 1-25
industry. Three DM-techniques were selected: Dependency Modeling, Change and Deviation Detection, and Classification. Of these … three techniques, two were found to be of complementary value in a PPM-context, Dependency modeling and Classification …
Persistent link: https://www.econbiz.de/10011656495
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Towards decision analytics in product portfolio management
Otten, Sjors; Spruit, Marco René; Helms, Remko - In: Decision Analytics 2 (2015), pp. 1-25
industry. Three DM-techniques were selected: Dependency Modeling, Change and Deviation Detection, and Classification. Of these … three techniques, two were found to be of complementary value in a PPM-context, Dependency modeling and Classification …
Persistent link: https://www.econbiz.de/10011376894
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Conditional least squares and copulae in claims reserving for a single line of business
Pešta, Michal; Okhrin, Ostap - In: Insurance: Mathematics and Economics 56 (2014) C, pp. 28-37
One of the main goals in non-life insurance is to estimate the claims reserve distribution. A generalized time series model, that allows for modeling the conditional mean and variance of the claim amounts, is proposed for the claims development. On contrary to the classical stochastic reserving...
Persistent link: https://www.econbiz.de/10011046677
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Modeling dependencies in claims reserving with GEE
Hudecová, Šárka; Pešta, Michal - In: Insurance: Mathematics and Economics 53 (2013) 3, pp. 786-794
A common approach to the claims reserving problem is based on generalized linear models (GLM), where the claims in different origin and development years are assumed to be independent variables. If this is violated, the classical techniques may provide incorrect predictions of the claims...
Persistent link: https://www.econbiz.de/10011046616
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Modeling dependencies in claims reserving with GEE
Hudecová, Šárka; Pešta, Michal - In: Insurance / Mathematics & economics 53 (2013) 3, pp. 786-794
Persistent link: https://www.econbiz.de/10010227828
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