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Year of publication
Subject
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Bayesian inference 3 Combining density forecasts 3 Forecast evaluation 3 Predictivism 3 HARKing 2 Machine Learning 2 Predictivism vs Accommodation 2 Publication Bias 2 Artificial intelligence 1 Bayes-Statistik 1 Bayesian conditioning 1 Bias 1 Forecasting model 1 Jeffrey’s rule 1 Künstliche Intelligenz 1 Prognoseverfahren 1 Statistical distribution 1 Statistical theory 1 Statistische Methodenlehre 1 Statistische Verteilung 1 Systematischer Fehler 1 Theorie 1 Theory 1 conjugacy 1 de Finetti style theorem 1 exponential family 1 predictivism 1 sufficiency 1
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Online availability
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Free 3 Undetermined 2
Type of publication
All
Article 3 Book / Working Paper 3
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Article in journal 1 Aufsatz in Zeitschrift 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 3 Undetermined 3
Author
All
Kolasa, Marcin 3 Chen, Andrew Y. 2 Kocięcki, Andrzej 2 Rubaszek, Michał 2 Arellano-Valle, Rinaldo 1 Iglesias, Pilar 1 Kociecki, Andrzej 1 Loschi, Rosangela 1 Robaszek, Michał 1
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Institution
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Narodowy Bank Polski 1
Published in...
All
Economic Modelling 1 Economic modelling 1 I4R Discussion Paper Series 1 I4R discussion paper series 1 National Bank of Poland Working Papers 1 TEST: An Official Journal of the Spanish Society of Statistics and Operations Research 1
Source
All
RePEc 3 ECONIS (ZBW) 2 EconStor 1
Showing 1 - 6 of 6
Cover Image
Optimal post-hoc theorizing
Chen, Andrew Y. - 2025
For many economic questions, the empirical results are not interesting unless they are strong. For these questions, theorizing before the results are known is not always optimal. Instead, the optimal sequencing of theory and empirics trades off a "Darwinian Learning" effect from theorizing first...
Persistent link: https://www.econbiz.de/10015426635
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Cover Image
Optimal Post-Hoc Theorizing
Chen, Andrew Y. - 2025
For many economic questions, the empirical results are not interesting unless they are strong. For these questions, theorizing before the results are known is not always optimal. Instead, the optimal sequencing of theory and empirics trades off a "Darwinian Learning" effect from theorizing first...
Persistent link: https://www.econbiz.de/10015425833
Saved in:
Cover Image
A Bayesian method of combining judgemental and model-based density forecasts
Kocięcki, Andrzej; Kolasa, Marcin; Robaszek, Michał - In: Economic modelling 29 (2012) 4, pp. 1349-1355
Persistent link: https://www.econbiz.de/10009667355
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Predictivistic Bayesian Forecasting System
Kociecki, Andrzej; Kolasa, Marcin; Rubaszek, Michał - Narodowy Bank Polski - 2011
This paper introduces a formal method of combining expert and model density forecasts when the sample of past forecasts is unavailable. It works directly with the expert forecast density and endogenously delivers weights for forecast combination, relying on probability rules only. In the...
Persistent link: https://www.econbiz.de/10010615398
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Cover Image
A Bayesian method of combining judgmental and model-based density forecasts
Kocięcki, Andrzej; Kolasa, Marcin; Rubaszek, Michał - In: Economic Modelling 29 (2012) 4, pp. 1349-1355
This paper introduces a formal method of combining expert and model density forecasts when the sample of past forecasts is unavailable. It works directly with the expert forecast density and endogenously delivers weights for forecast combination, relying on probability rules only. The empirical...
Persistent link: https://www.econbiz.de/10011048689
Saved in:
Cover Image
Conditioning on uncertain event: Extensions to bayesian inference
Loschi, Rosangela; Iglesias, Pilar; Arellano-Valle, Rinaldo - In: TEST: An Official Journal of the Spanish Society of … 11 (2002) 2, pp. 365-383
Persistent link: https://www.econbiz.de/10005390616
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