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subject:"Regressionsanalyse"
subject:"Ökonometrie"
~subject:"Maximum likelihood estimation"
~isPartOf:"International journal of forecasting"
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Regressionsanalyse
Ökonometrie
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Estimation theory
150
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International journal of forecasting
Journal of econometrics
361
Economics letters
122
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
117
CEMMAP working papers / Centre for Microdata Methods and Practice
106
Journal of the American Statistical Association : JASA
101
Econometric theory
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77
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30
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Statistics in transition : an international journal of the Polish Statistical Association
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21
Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics
21
Journal of forecasting
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SFB 649 discussion paper
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1
Forecasting in factor augmented regressions under structural change
Massacci, Daniele
;
Kapetanios, George
- In:
International journal of forecasting
40
(
2024
)
1
,
pp. 62-76
Persistent link: https://www.econbiz.de/10014450259
Saved in:
2
Physics-informed Gaussian process regression for states estimation and forecasting in power grids
Tartakovsky, Alexandre M.
;
Ma, Tong
;
Barajas-Solano, …
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 967-980
Persistent link: https://www.econbiz.de/10014465184
Saved in:
3
Distributional regression and its evaluation with the CRPS : bounds and convergence of the minimax risk
Pic, Romain
;
Dombry, Clément
;
Naveau, Philippe
; …
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1564-1572
Persistent link: https://www.econbiz.de/10014465329
Saved in:
4
Robust regression for electricity demand forecasting against cyberattacks
VandenHeuvel, Daniel
;
Wu, Jinran
;
Wang, You-Gan
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1573-1592
Persistent link: https://www.econbiz.de/10014465333
Saved in:
5
Random coefficient state-space model : estimation and performance in M3-M4 competitions
Sbrana, Giacomo
;
Silvestrini, Andrea
- In:
International journal of forecasting
38
(
2022
)
1
,
pp. 352-366
Persistent link: https://www.econbiz.de/10013347811
Saved in:
6
Cyberattack-resilient load forecasting with adaptive robust regression
Jiao, Jieying
;
Tang, Zefan
;
Zhang, Peng
;
Yue, Meng
;
Yan, Jun
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 910-919
Persistent link: https://www.econbiz.de/10013349630
Saved in:
7
Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model
Saha, Moumita
;
Santara, Anirban
;
Mitra, Pabitra
; …
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 58-71
Persistent link: https://www.econbiz.de/10012692591
Saved in:
8
Conformal prediction interval estimation and applications to day-ahead and intraday power markets
Kath, Christopher
;
Ziel, Florian
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 777-799
Persistent link: https://www.econbiz.de/10012792869
Saved in:
9
A new approach to estimating earnings forecasting models : robust regression MM-estimation
Li, Quan
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 1011-1030
Persistent link: https://www.econbiz.de/10012794782
Saved in:
10
Macroeconomic forecasting for Australia using a large number of predictors
Panagiotelis, Anastasios
;
Athanasopoulos, George
; …
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 616-633
Persistent link: https://www.econbiz.de/10012300705
Saved in:
11
Benchmarking robustness of load forecasting models under data integrity attacks
Luo, Jian
;
Tao, Hong
;
Fang, Shu-Cherng
- In:
International journal of forecasting
34
(
2018
)
1
,
pp. 89-104
Persistent link: https://www.econbiz.de/10012030845
Saved in:
12
Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods
Kim, Hyun Hak
;
Swanson, Norman R.
- In:
International journal of forecasting
34
(
2018
)
2
,
pp. 339-354
Persistent link: https://www.econbiz.de/10012030940
Saved in:
13
An approximate long-memory range-based approach for value at risk estimation
Meng, Xiaochun
;
Taylor, James W.
- In:
International journal of forecasting
34
(
2018
)
3
,
pp. 377-388
Persistent link: https://www.econbiz.de/10012030985
Saved in:
14
Forecasting compositional time series : a state space approach
Snyder, Ralph D.
;
Ord, John Keith
;
Koehler, Anne B.
; …
- In:
International journal of forecasting
33
(
2017
)
2
,
pp. 502-512
Persistent link: https://www.econbiz.de/10011922922
Saved in:
15
Electric load forecasting with recency effect : a big data approach
Wang, Pu
;
Liu, Bidong
;
Tao, Hong
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 585-597
Persistent link: https://www.econbiz.de/10011621730
Saved in:
16
Nonlinear forecasting with many predictors using kernel ridge regression
Exterkate, Peter
;
Groenen, Patrick J. F.
;
Heij, Christiaan
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 736-753
Persistent link: https://www.econbiz.de/10011621797
Saved in:
17
A hybrid model of kernel density estimation and quantile regression for GEFCom2014 probabilistic load forecasting
Haben, Stephen
;
Giasemidis, Georgios
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1017-1022
Persistent link: https://www.econbiz.de/10011621987
Saved in:
18
Forecasting using sparse cointegration
Wilms, Ines
;
Croux, Christophe
- In:
International journal of forecasting
32
(
2016
)
4
,
pp. 1256-1267
Persistent link: https://www.econbiz.de/10011622146
Saved in:
19
Macroeconomic forecasting and structural analysis through regularized reduced-rank regression
Bernardini, Emmanuela
;
Cubadda, Gianluca
- In:
International journal of forecasting
31
(
2015
)
3
,
pp. 682-691
Persistent link: https://www.econbiz.de/10011474523
Saved in:
20
Hierarchical shrinkage priors for dynamic regressions with many predictors
Korobilis, Dimitris
- In:
International journal of forecasting
29
(
2013
)
1
,
pp. 43-59
Persistent link: https://www.econbiz.de/10009706178
Saved in:
21
Illusions in regression analysis
Armstrong, Jon Scott
- In:
International journal of forecasting
28
(
2012
)
3
,
pp. 689-694
Persistent link: https://www.econbiz.de/10009659867
Saved in:
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