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Search: subject:"Conditional inference trees"
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conditional inference trees
5
JDemetra+
2
binary classification
2
conditional inference forests,random survival forests
2
correlated predictors
2
simulation study
2
supervised machine learning
2
tree-based methods
2
Artificial intelligence
1
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Generationengerechtigkeit
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Intergenerationale Übertragung
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Kinder
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Statistical inference
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Statistical method
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Statistische Methode
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Wald
1
Wirtschaftswachstum
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determinants of stunting
1
intergenerational transmission
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English
5
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Ollech, Daniel
2
Sigirli, Deniz
2
Webel, Karsten
2
Yabaci, Aysegul
2
Engelbrecht, Liezel
1
Mphaphuli, Edzani
1
Rich, Kate
1
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Deutsche Bundesbank Discussion Paper
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Discussion paper
1
Statistics in Transition new series (SiTns)
1
Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland
1
Stellenbosch economic working papers : a working paper of the Department of Economics and the Bureau at the University of Stellenbosch
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ECONIS (ZBW)
3
EconStor
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Mitigating the impact of intergenerational risk factors on stunting : insights from the Grow Great Community Stunting Survey
Rich, Kate
;
Engelbrecht, Liezel
;
Wills, Gabrielle
; …
-
2024
Persistent link: https://www.econbiz.de/10015044970
Saved in:
2
Comparison of tree-based methods used in survival data
Yabaci, Aysegul
;
Sigirli, Deniz
- In:
Statistics in Transition new series (SiTns)
23
(
2022
)
1
,
pp. 21-38
.
Conditional
inference
trees
(Ctree) form a non-parametric class of regression trees embedding tree-structured regression models …
Persistent link: https://www.econbiz.de/10013444118
Saved in:
3
Comparison of tree-based methods used in survival data
Yabaci, Aysegul
;
Sigirli, Deniz
- In:
Statistics in transition : an international journal of …
23
(
2022
)
1
,
pp. 21-38
.
Conditional
inference
trees
(Ctree) form a non-parametric class of regression trees embedding tree-structured regression models …
Persistent link: https://www.econbiz.de/10013419288
Saved in:
4
A random forest-based approach to identifying the most informative seasonality tests
Ollech, Daniel
;
Webel, Karsten
-
2020
inference
trees
to be the method which best balances these key requirements. Applying this method to the seasonality tests … accuracy, interpretability and availability of unbiased variable importance measures and find random forests of
conditional
…
Persistent link: https://www.econbiz.de/10012302182
Saved in:
5
A random forest-based approach to identifying the most informative seasonality tests
Ollech, Daniel
;
Webel, Karsten
-
2020
inference
trees
to be the method which best balances these key requirements. Applying this method to the seasonality tests … accuracy, interpretability and availability of unbiased variable importance measures and find random forests of
conditional
…
Persistent link: https://www.econbiz.de/10012301212
Saved in:
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