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  • Search: subject:"variable selection methods"
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Year of publication
Subject
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Variable selection methods 2 Artificial intelligence 1 Credit risk 1 Forecasting 1 Forecasting model 1 Insolvency 1 Insolvenz 1 Kreditrisiko 1 Künstliche Intelligenz 1 Leasing 1 Loss given default 1 Machine learning 1 Modellierung 1 Monte Carlo simulations 1 Principal component analysis 1 Prognoseverfahren 1 Regression analysis 1 Scientific modelling 1 Statistical analysis 1 Theorie 1 Theory 1 backwards variable elimination 1 model selection methods 1 regression models 1 variable selection methods 1
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Undetermined 3
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Article 3
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 2 English 1
Author
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Austin, Peter 1 Hassanzadeh, S. 1 Hosseinibalam, F. 1 Kaposty, Florian 1 Kriebel, Johannes 1 Löderbusch, Matthias 1 Omidvari, M. 1
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International journal of forecasting 1 Journal of Applied Statistics 1 Physica A: Statistical Mechanics and its Applications 1
Source
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RePEc 2 ECONIS (ZBW) 1
Showing 1 - 3 of 3
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Predicting loss given default in leasing : a closer look at models and variable selection
Kaposty, Florian; Kriebel, Johannes; Löderbusch, Matthias - In: International journal of forecasting 36 (2020) 2, pp. 248-266
Persistent link: https://www.econbiz.de/10012414715
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The large-sample performance of backwards variable elimination
Austin, Peter - In: Journal of Applied Statistics 35 (2008) 12, pp. 1355-1370
Prior studies have shown that automated variable selection results in models with substantially inflated estimates of the model R2, and that a large proportion of selected variables are truly noise variables. These earlier studies used simulated data sets whose sample sizes were at most 100. We...
Persistent link: https://www.econbiz.de/10005458197
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Statistical methods and regression analysis of stratospheric ozone and meteorological variables in Isfahan
Hassanzadeh, S.; Hosseinibalam, F.; Omidvari, M. - In: Physica A: Statistical Mechanics and its Applications 387 (2008) 10, pp. 2317-2327
Data of seven meteorological variables (relative humidity, wet temperature, dry temperature, maximum temperature, minimum temperature, ground temperature and sun radiation time) and ozone values have been used for statistical analysis. Meteorological variables and ozone values were analyzed...
Persistent link: https://www.econbiz.de/10010873609
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