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  • Search: subject:"Bayesian probability"
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Year of publication
Subject
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Bayesian probability 8 Bayes-Statistik 3 Bayesian inference 3 Theorie 3 Theory 3 Forecasting model 2 Prognoseverfahren 2 artificial neural network 2 decision-making 2 drivers of welfare 2 dynamic time series 2 forecasting 2 non-income welfare 2 subjectivism of welfare 2 top-down trading 2 welfare 2 welfare measurement 2 welfare perception 2 Aktienmarkt 1 Alborz 1 Artificial intelligence 1 Avalanche forecasting 1 Bayesian Probability Theory 1 Bayesian probability forecasting 1 Bayesian probability models 1 Börsenkurs 1 Cleaning databases 1 Complex Environments 1 Data Mining 1 Data integration 1 Data mining 1 Decision making 1 Internet marketing 1 Master list of patients 1 Neural networks 1 Neuronale Netze 1 Online retailing 1 Online-Handel 1 Online-Marketing 1 Operational Decision Theory 1
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Online availability
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Undetermined 6 Free 5
Type of publication
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Article 10 Book / Working Paper 1
Type of publication (narrower categories)
All
Article in journal 3 Aufsatz in Zeitschrift 3 Article 2
Language
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English 6 Undetermined 5
Author
All
Huang, Chin-yin 2 Lin, Philip K. P. 2 Wisniewski, Tomasz Piotr 2 Alemi, Farrokh 1 Chen, George Guo-Qiang 1 Dorfman, Jeffrey H. 1 Guo, Xunhua 1 Jafari, Mohammad Ashtari 1 Loaiza, Francisco 1 MOSTAGHIMI, MEHDI 1 McClung, D. 1 Ramirez, Octavio A. 1 Smith, Kevin M. 1 Vang, Jee 1 Wang, Cong 1 Wei, Qiang 1 Zhang, Zunqiang 1
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Institution
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Agricultural and Applied Economics Association - AAEA 1
Published in...
All
Natural Hazards 2 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 1 Cogent Economics & Finance 1 Cogent economics & finance 1 Health Care Management Science 1 INFORMS journal on computing : JOC 1 International Journal of Aviation Systems, Operations and Training (IJASOT) 1 International Journal of Management and Economics 1 International journal of management and economics 1 The Singapore Economic Review (SER) 1
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Source
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RePEc 5 ECONIS (ZBW) 3 EconStor 2 Other ZBW resources 1
Showing 1 - 10 of 11
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Should income be taken for granted as a sole driver of welfare? Bayesian insight on the relevance of non-income drivers of welfare
Wisniewski, Tomasz Piotr - In: International Journal of Management and Economics 54 (2018) 1, pp. 58-68
Bayesian probability of almost 65%. Thereby, the paper is a reaffirmation of a need for further research in the area of welfare …
Persistent link: https://www.econbiz.de/10015192081
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Cover Image
Should income be taken for granted as a sole driver of welfare? : Bayesian insight on the relevance of non-income drivers of welfare
Wisniewski, Tomasz Piotr - In: International journal of management and economics 54 (2018) 1, pp. 58-68
Bayesian probability of almost 65%. Thereby, the paper is a reaffirmation of a need for further research in the area of welfare …
Persistent link: https://www.econbiz.de/10012027102
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Cover Image
Calibration of voting-based helpfulness measurement for online reviews : an iterative bayesian probability approach
Guo, Xunhua; Chen, George Guo-Qiang; Wang, Cong; Wei, Qiang - In: INFORMS journal on computing : JOC 33 (2021) 1, pp. 246-261
Persistent link: https://www.econbiz.de/10012496385
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Application of integrated data mining techniques in stock market forecasting
Huang, Chin-yin; Lin, Philip K. P. - In: Cogent Economics & Finance 2 (2014) 1, pp. 2-17
neural network theory, technical analysis, dynamic time series theory, and Bayesian probability theory. To experimentally …
Persistent link: https://www.econbiz.de/10011559120
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Application of integrated data mining techniques in stock market forecasting
Huang, Chin-yin; Lin, Philip K. P. - In: Cogent economics & finance 2 (2014) 1, pp. 2-17
neural network theory, technical analysis, dynamic time series theory, and Bayesian probability theory. To experimentally …
Persistent link: https://www.econbiz.de/10010482340
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Decision Making in Complex Environments
Smith, Kevin M. - In: International Journal of Aviation Systems, Operations … 4 (2017) 2, pp. 1-14
Bayesian probability theory, signal detection theory, and operational decision theory are combined to understand how …
Persistent link: https://www.econbiz.de/10012043084
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Improving Forecast Performance with Reduced Parameter, Large Order AR Models
Ramirez, Octavio A.; Dorfman, Jeffrey H. - Agricultural and Applied Economics Association - AAEA - 2010
Persistent link: https://www.econbiz.de/10009020772
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The strength and weight of evidence in backcountry avalanche forecasting
McClung, D. - In: Natural Hazards 59 (2011) 3, pp. 1635-1645
the total area. From the concepts of Bayesian probability, it is shown that overconfidence about stability can arise when …
Persistent link: https://www.econbiz.de/10010846846
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Time independent seismic hazard analysis in Alborz and surrounding area
Jafari, Mohammad Ashtari - In: Natural Hazards 42 (2007) 1, pp. 237-252
The Bayesian probability estimation seems to have efficiencies that make it suitable for calculating different …
Persistent link: https://www.econbiz.de/10010846422
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Probabilistic master lists: integration of patient records from different databases when unique patient identifier is missing
Alemi, Farrokh; Loaiza, Francisco; Vang, Jee - In: Health Care Management Science 10 (2007) 1, pp. 95-104
Persistent link: https://www.econbiz.de/10005680725
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