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Search: subject:"Random forests"
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random forests
90
Random forests
66
Forecasting model
62
Prognoseverfahren
62
Theorie
41
Theory
41
Artificial intelligence
36
Künstliche Intelligenz
36
machine learning
34
Forestry
30
Forstwirtschaft
30
Random Forests
30
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19
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19
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18
Regressionsanalyse
18
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16
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13
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13
forecasting
12
neural networks
10
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9
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9
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9
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8
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8
Pattern recognition
8
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8
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8
regression trees
8
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7
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7
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7
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7
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7
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7
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7
bagging
7
deep learning
7
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6
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Free
101
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96
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Article
140
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65
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1
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99
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99
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48
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37
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37
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36
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13
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4
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English
179
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25
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1
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1
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Pierdzioch, Christian
18
Gupta, Rangan
13
Hufe, Paul
7
POEL, D. VAN DEN
7
Behrens, Christoph
6
Sadorsky, Perry A.
6
Biewen, Martin
5
Brunori, Paolo
5
Krauss, Christopher
5
Kugler, Philipp
5
Medeiros, Marcelo C.
5
Borup, Daniel
4
Mahler, Daniel Gerszon
4
Do, Xuan Anh
3
Fantazzini, Dean
3
Foltas, Alexander
3
Gillas, Konstantinos Gkillas
3
Hamori, Shigeyuki
3
Hapfelmeier, A.
3
Hothorn, Torsten
3
Huck, Nicolas
3
Kinkyō, Takuji
3
Masini, Ricardo P.
3
Mendes, Eduardo F.
3
Montes Schütte, Erik Christian
3
Ulm, K.
3
Zeileis, Achim
3
Affeldt, Pauline
2
Alqararah, Khatab
2
Baier, Daniel
2
Bonato, Matteo
2
Bouri, Elie
2
Chen, Jau-er
2
Christensen, Bent Jesper
2
DeMiguel, Victor
2
Del Fava, Santino
2
Demirer, Rıza
2
Dokučaev, Nikolaj G.
2
Dubovyk, Olena
2
Fischer, Thomas G.
2
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Faculteit Economie en Bedrijfskunde, Universiteit Gent
9
Department of Economics, Tufts University
1
Département des Études Économiques d'Ensemble (D3E), Institut National de la Statistique et des Études Économiques (INSEE)
1
European Association of Agricultural Economists - EAAE
1
Toulouse School of Economics (TSE)
1
Université Paris-Dauphine (Paris IX)
1
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Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium
9
Department of Economics working paper series
6
Computational Statistics & Data Analysis
5
International journal of forecasting
5
Journal of Risk and Financial Management
5
Journal of risk and financial management : JRFM
5
European journal of operational research : EJOR
4
Applied economics letters
3
Discussion paper series / IZA
3
Finance research letters
3
Journal of forecasting
3
Research in international business and finance
3
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2
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2
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2
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2
Econometrics : open access journal
2
Economics letters
2
FAU Discussion Papers in Economics
2
FAU discussion papers in economics
2
IEEE transactions on engineering management : EM
2
IZA Discussion Papers
2
International Journal of Biostatistics
2
International journal of production research
2
Journal of the Operational Research Society
2
Land
2
Management science : journal of the Institute for Operations Research and the Management Sciences
2
Statistics & Probability Letters
2
The North American journal of economics and finance : a journal of financial economics studies
2
Working Papers of the Priority Programme 1859 "Experience and Expectation. Historical Foundations of Economic Behaviour"
2
Working Papers of the Priority Programme 1859 : Experience and Expectation : Historical Foundations of Economic Behaviour
2
2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia
1
ASTIN bulletin : the journal of the International Actuarial Association
1
Abacus : a journal of accounting, finance and business studies
1
Advances in Data Analysis and Classification
1
Advances in business and management forecasting
1
Applied mathematical finance
1
Asian journal of management science and applications : AJMSA
1
Bank i kredyt
1
Barcelona GSE working paper series : working paper
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Source
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ECONIS (ZBW)
136
RePEc
34
EconStor
27
Other ZBW resources
8
BASE
1
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51
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206
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51
Predicting stock splits using ensemble machine learning and SMOTE oversampling
Li, Ang
;
Liu, Mark H.
;
Sheather, Simon J.
- In:
Pacific-Basin finance journal
78
(
2023
),
pp. 1-24
Persistent link: https://www.econbiz.de/10014463767
Saved in:
52
Synthetic learner : model-free inference on treatments over time
Viviano, Davide
;
Bradic, Jelena
- In:
Journal of econometrics
234
(
2023
)
2
,
pp. 691-713
Persistent link: https://www.econbiz.de/10014434362
Saved in:
53
Fewer clicks, more purchases
Unal, Murat
;
Park, Young-Hoon
- In:
Management science : journal of the Institute for …
69
(
2023
)
12
,
pp. 7317-7334
Persistent link: https://www.econbiz.de/10014444131
Saved in:
54
Machine learning advances for time series forecasting
Masini, Ricardo P.
;
Medeiros, Marcelo C.
;
Mendes, Eduardo F.
- In:
Journal of economic surveys
37
(
2023
)
1
,
pp. 76-111
Persistent link: https://www.econbiz.de/10014287800
Saved in:
55
Forecasting sovereign risk in the euro area via machine learning
Belly, Guillaume
;
Boeckelmann, Lukas
;
Caicedo Graciano, …
- In:
Journal of forecasting
42
(
2023
)
3
,
pp. 657-684
Persistent link: https://www.econbiz.de/10014292224
Saved in:
56
Stochastic optimization forests
Kallus, Nathan
;
Mao, Xiaojie
- In:
Management science : journal of the Institute for …
69
(
2023
)
4
,
pp. 1975-1994
Persistent link: https://www.econbiz.de/10014305369
Saved in:
57
Corporate Social Irresponsibility and Credit Risk Prediction: A Machine Learning Approach
Fauser, Daniel V.
;
Gruener, Andreas
- In:
Credit and Capital Markets – Kredit und Kapital
53
(
2020
)
4
,
pp. 513-554
advanced machine learning algorithms (e.?g.
random
forests
) outperforming traditional ones (e.?g. linear regression). Random …
Persistent link: https://www.econbiz.de/10014523754
Saved in:
58
Two-Stage Least Squares
Random
Forests
with an Application to Angrist and Evans (1998)
Biewen, Martin
;
Kugler, Philipp
-
2020
Random
Forests
, Annals of Statistics, Vol. 47, 2019) and provide a software implementation for R and C++. We use the method …
Persistent link: https://www.econbiz.de/10012270291
Saved in:
59
Two-Stage Least Squares
Random
Forests
with a Replication of Angrist and Evans (1998)
Kugler, Philipp
;
Biewen, Martin
-
2020
Random
Forests
, Annals of Statistics, Vol. 47, 2019) and provide a software implementation for R and C++. We use the method …
Persistent link: https://www.econbiz.de/10012287826
Saved in:
60
On the efficiency of German growth forecasts: An empirical analysis using quantile
random
forests
Foltas, Alexander
;
Pierdzioch, Christian
-
2020
We use quantile
random
forests
(QRF) to study the efficiency of the growth forecasts published by three leading German …
Persistent link: https://www.econbiz.de/10012288744
Saved in:
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