Application of the random survival forests method in the bankruptcy prediction for smalland medium enterprises
Year of publication: |
2020
|
---|---|
Authors: | Ptak-Chmielewska, Aneta ; Matuszyk, Anna |
Published in: |
Argumenta oeconomica. - [Wrocław] : [Wrocław University of Economics], ZDB-ID 2892843-X. - Vol. 44.2020, 1, p. 127-142
|
Subject: | random survival forests | credit risk | bankruptcy probability | classification | Insolvenz | Insolvency | Kreditrisiko | Credit risk | Prognoseverfahren | Forecasting model | Forstwirtschaft | Forestry | Theorie | Theory | Forstpolitik | Forest policy |
-
Default patterns in seven EU countries : a random forest approach
Behr, Andreas, (2017)
-
EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks
Kristóf, Tamás, (2022)
-
Credit risk prediction using support vector machines
Trustorff, Jan-Henning, (2011)
- More ...
-
The importance of financial and non-financial ratios in SMEs bankruptcy prediction
Ptak-Chmielewska, Aneta, (2018)
-
Ptak-Chmielewska, Aneta, (2023)
-
Andreeva, Galina, (2019)
- More ...