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subject:"Großbritannien"
accessRights:"restricted"
~subject:"Regression analysis"
~subject:"Bayes-Statistik"
~isPartOf:"International journal of forecasting"
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Großbritannien
Regression analysis
Bayes-Statistik
Estimation theory
85
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85
Forecasting model
78
Prognoseverfahren
78
Time series analysis
38
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International journal of forecasting
Journal of econometrics
193
Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
82
Economics letters
63
Econometric reviews
55
Econometric theory
34
The econometrics journal
28
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23
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Discussion papers / CEPR
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Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet
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Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
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The Oxford handbook of applied nonparametric and semiparametric econometrics and statistics
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Topics in identification, limited dependent variables, partial observability, experimentation, and flexible modelling ; Part B
5
Econometrica : journal of the Econometric Society, an internat. society for the advancement of economic theory in its relation to statistics and mathematics
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ECONIS (ZBW)
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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
Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage
Gefang, Deborah
;
Koop, Gary
;
Poon, Aubrey
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 346-363
Persistent link: https://www.econbiz.de/10014462786
Saved in:
3
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:
4
Penalized estimation of panel vector autoregressive models : a panel LASSO approach
Camehl, Annika
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1185-1204
Persistent link: https://www.econbiz.de/10014465265
Saved in:
5
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:
6
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:
7
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:
8
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:
9
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:
10
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:
11
Semiparametric time series models driven by latent factor
Maia, Gisele de Oliveira
;
Barreto-Souza, Wagner
; …
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1463-1479
Persistent link: https://www.econbiz.de/10013274294
Saved in:
12
Forecasting from others' experience : Bayesian estimation of the generalized Bass model
Ramírez, Andrés
;
Montoya-Blandón, Santiago
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 442-465
Persistent link: https://www.econbiz.de/10012415086
Saved in:
13
Forecasting the UK economy with a medium-scale Bayesian VAR
Domit, Sílvia
;
Monti, Francesca
;
Sokol, Andrej
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1669-1678
Persistent link: https://www.econbiz.de/10012305512
Saved in:
14
A general method for addressing forecasting uncertainty in inventory models
Prak, Dennis
;
Teunter, Ruud H.
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 224-238
Persistent link: https://www.econbiz.de/10012300676
Saved in:
15
Threshold cointegration in international exchange rates : a Bayesian approach
Huber, Florian
;
Zörner, Thomas
- In:
International journal of forecasting
35
(
2019
)
2
,
pp. 458-473
Persistent link: https://www.econbiz.de/10012300684
Saved in:
16
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:
17
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:
18
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:
19
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:
20
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:
21
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:
22
In-sample confidence bands and out-of-sample forecast bands for time-varying parameters in observation-driven models
Blasques, Francisco
;
Koopman, Siem Jan
;
Łasak, Katarzyna
; …
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 875-887
Persistent link: https://www.econbiz.de/10011621857
Saved in:
23
GEFCom2014 probabilistic electric load forecasting : an integrated solution with forecast combination and residual simulation
Xie, Jingrui
;
Tao, Hong
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 1012-1016
Persistent link: https://www.econbiz.de/10011621984
Saved in:
24
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:
25
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:
26
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:
27
Testing causality between two vectors in multivariate GARCH models
Woźniak, Tomasz
- In:
International journal of forecasting
31
(
2015
)
3
,
pp. 876-894
Persistent link: https://www.econbiz.de/10011474616
Saved in:
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