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subject:"Estimation theory"
isPartOf:"Journal of forecasting"
~subject:"Maximum-Likelihood-Schätzung"
~isPartOf:"International journal of forecasting"
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Estimation theory
Maximum-Likelihood-Schätzung
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271
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Journal of forecasting
International journal of forecasting
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1,638
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970
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723
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602
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ECONIS (ZBW)
271
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1
Mixed-frequency predictive regressions with parameter learning
Leippold, Markus
;
Yang, Hanlin
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 1955-1972
Persistent link: https://www.econbiz.de/10014432824
Saved in:
2
Forecasting intraday financial time series with sieve bootstrapping and dynamic updating
Shang, Han Lin
;
Ji, Kaiying
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 1973-1988
Persistent link: https://www.econbiz.de/10014432826
Saved in:
3
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:
4
Outlier-robust methods for forecasting realized covariance matrices
Li, Dan
;
Drovandi, Christopher
;
Clements, Adam
- In:
International journal of forecasting
40
(
2024
)
1
,
pp. 392-408
Persistent link: https://www.econbiz.de/10014450278
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5
Dynamic forecasting for nonstationary high-frequency financial data with jumps based on series decomposition and reconstruction
Song, Yuping
;
Li, Zhenwei
;
Ma, Zhiren
;
Sun, Xiaoyu
- In:
Journal of forecasting
42
(
2023
)
5
,
pp. 1055-1068
Persistent link: https://www.econbiz.de/10014338810
Saved in:
6
Interactive R&D spillovers : an estimation strategy based on forecasting-driven model selection
Gioldasis, Georgios
;
Musolesi, Antonio
;
Simioni, Michel
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 144-169
Persistent link: https://www.econbiz.de/10014462785
Saved in:
7
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:
8
Non-Gaussian models for CoVaR estimation
Bianchi, Michele Leonardo
;
De Luca, Giovanni
; …
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 391-404
Persistent link: https://www.econbiz.de/10014462788
Saved in:
9
Forecasting stock return volatility : realized volatility-type or duration-based estimators
Fei, Tianlun
;
Liu, Xiaoquan
;
Wen, Conghua
- In:
Journal of forecasting
42
(
2023
)
7
,
pp. 1594-1621
Persistent link: https://www.econbiz.de/10014432725
Saved in:
10
Forecasting global solar radiation using a robust regularization approach with mixture kernels
Jiang, He
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 1989-2010
Persistent link: https://www.econbiz.de/10014432828
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11
Regularized Poisson regressions predict regional innovation output
Xiang, Li
;
Hu, Xuemei
;
Junwen, Yang
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 2197-2216
Persistent link: https://www.econbiz.de/10014432870
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12
Large covariance estimation using a factor model with common and group-specific factors
Shi, Yafeng
;
Ai, Chunrong
;
Shi, Yanlong
;
Ying, Tingting
; …
- In:
Journal of forecasting
42
(
2023
)
8
,
pp. 2217-2248
Persistent link: https://www.econbiz.de/10014432877
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13
DCC- and DECO-HEAVY : multivariate GARCH models based on realized variances and correlations
Bauwens, Luc
;
Xu, Yongdeng
- In:
International journal of forecasting
39
(
2023
)
2
,
pp. 938-955
Persistent link: https://www.econbiz.de/10014465168
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14
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
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15
Distributed ARIMA models for ultra-long time series
Wang, Xiaoqian
;
Kang, Yanfei
;
Hyndman, Rob J.
;
Li, Feng
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1163-1184
Persistent link: https://www.econbiz.de/10014465263
Saved in:
16
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:
17
Shrinkage estimator for exponential smoothing models
Pritularga, Kandrika F.
;
Svetunkov, Ivan
;
Kourentzes, …
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1351-1365
Persistent link: https://www.econbiz.de/10014465285
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18
Model combinations through revised base rates
Petropoulos, Fotios
;
Spiliotis, Evangelos
; …
- In:
International journal of forecasting
39
(
2023
)
3
,
pp. 1477-1492
Persistent link: https://www.econbiz.de/10014465296
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19
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:
20
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:
21
Early Warning Systems for identifying financial instability
Allaj, Erindi
;
Sanfelici, Simona
- In:
International journal of forecasting
39
(
2023
)
4
,
pp. 1777-1803
Persistent link: https://www.econbiz.de/10014465353
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22
Optimal forecast error as an unbiased estimator of abnormal return : a proposition
Enginar, Onur
;
Atici, Kazim Baris
- In:
Journal of forecasting
41
(
2022
)
1
,
pp. 158-166
Persistent link: https://www.econbiz.de/10012796281
Saved in:
23
Competition can help predict sales
Fortsch, Sima M.
;
Choi, Jeong Hoon
;
Khapalova, Elena A.
- In:
Journal of forecasting
41
(
2022
)
2
,
pp. 331-344
Persistent link: https://www.econbiz.de/10012817763
Saved in:
24
Forecasting Bitcoin volatility : a new insight from the threshold regression model
Zhang, Yaojie
;
He, Mengxi
;
Wen, Danyan
;
Wang, Yudong
- In:
Journal of forecasting
41
(
2022
)
3
,
pp. 633-652
Persistent link: https://www.econbiz.de/10013166172
Saved in:
25
Mixed data sampling regression : parameter selection of smoothed least squares estimator
Toker, Selma
;
Özbay, Nimet
;
Månsson, Kristofer
- In:
Journal of forecasting
41
(
2022
)
4
,
pp. 718-751
Persistent link: https://www.econbiz.de/10013287847
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26
Limited memory predictors based on polynomial approximation of periodic exponentials
Dokuchaev, Nikolai
- In:
Journal of forecasting
41
(
2022
)
5
,
pp. 1037-1045
Persistent link: https://www.econbiz.de/10013287898
Saved in:
27
Forecasting in GARCH models with polynomially modified innovations
Vacca, Gianmarco
;
Zoia, Maria Grazia
;
Bagnato, Luca
- In:
International journal of forecasting
38
(
2022
)
1
,
pp. 117-141
Persistent link: https://www.econbiz.de/10013347743
Saved in:
28
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:
29
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:
30
GoodsForecast second-place solution in M5 Uncertainty track : combining heterogeneous models for a quantile estimation task
Mamonov, Nikolay
;
Golubyatnikov, Evgeny
;
Kanevskiy, Daniel
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1434-1441
Persistent link: https://www.econbiz.de/10014381103
Saved in:
31
A solution for M5 Forecasting-uncertainty : Hybrid gradient boosting and autoregressive recurrent neural network for quantile estimation
Chiew, Ernest
;
Choong, Shin Siang
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1442-1447
Persistent link: https://www.econbiz.de/10014381105
Saved in:
32
A white-boxed ISSM approach to estimate uncertainty distributions of Walmart sales
De Rezende, Rafael B.
;
Egert, Katharina
;
Marin, Ignacio
; …
- In:
International journal of forecasting
38
(
2022
)
4
,
pp. 1460-1467
Persistent link: https://www.econbiz.de/10014381111
Saved in:
33
Realized volatility forecasting : Robustness to measurement errors
Cipollini, Fabrizio
;
Gallo, Giampiero M.
;
Otranto, Edoardo
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 44-57
Persistent link: https://www.econbiz.de/10012692572
Saved in:
34
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:
35
Boosting nonlinear predictability of macroeconomic time series
Kauppi, Heikki
;
Virtanen, Timo
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 151-170
Persistent link: https://www.econbiz.de/10012692684
Saved in:
36
Bagging weak predictors
Hillebrand, Eric
;
Lukas, Manuel
;
Wei, Wei
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 237-254
Persistent link: https://www.econbiz.de/10012692700
Saved in:
37
Forecasting mortality with a hyperbolic spatial temporal VAR model
Feng, Lingbing
;
Shi, Yanlin
;
Chang, Le
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 255-273
Persistent link: https://www.econbiz.de/10012692702
Saved in:
38
Forecast reconciliation : A geometric view with new insights on bias correction
Panagiotelis, Anastasios
;
Athanasopoulos, George
; …
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 343-359
Persistent link: https://www.econbiz.de/10012692725
Saved in:
39
A DCC-type approach for realized covariance modeling with score-driven dynamics
Vassallo, Danilo
;
Buccheri, Giuseppe
;
Corsi, Fulvio
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 569-586
Persistent link: https://www.econbiz.de/10012792854
Saved in:
40
Modeling and predicting U.S. recessions using machine learning techniques
Vrontos, Spyridon D.
;
Galakis, John
;
Vrontos, Ioannis D.
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 647-671
Persistent link: https://www.econbiz.de/10012792860
Saved in:
41
Testing forecast accuracy of expectiles and quantiles with the extremal consistent loss functions
Yen, Yu-min
;
Yen, Tso-Jung
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 733-758
Persistent link: https://www.econbiz.de/10012792867
Saved in:
42
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:
43
Evaluating quantile-bounded and expectile-bounded interval forecasts
Taylor, James W.
- In:
International journal of forecasting
37
(
2021
)
2
,
pp. 800-811
Persistent link: https://www.econbiz.de/10012792870
Saved in:
44
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:
45
Discrete Gompertz equation and model selection between Gompertz and logistic models
Satoh, Daisuke
- In:
International journal of forecasting
37
(
2021
)
3
,
pp. 1192-1211
Persistent link: https://www.econbiz.de/10012794838
Saved in:
46
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
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47
Robustness and the general dynamic factor model with infinite-dimensional space : identification, estimation, and forecasting
Trucíos, Carlos
;
Mazzeu, João H. G.
;
Hotta, Luiz K.
; …
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1520-1534
Persistent link: https://www.econbiz.de/10013274311
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48
Modelling non-stationary "Big Data"
Castle, Jennifer
;
Doornik, Jurgen A.
;
Hendry, David F.
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1556-1575
Persistent link: https://www.econbiz.de/10013274313
Saved in:
49
Identification of volatility proxies as expectations of squared financial returns
Sucarrat, Genaro
- In:
International journal of forecasting
37
(
2021
)
4
,
pp. 1677-1690
Persistent link: https://www.econbiz.de/10013274330
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50
Special section : 30 years of cointegration and dynamic factor models
Escribano, Álvaro
(
ed.
);
Peña, Daniel
(
ed.
); …
-
2021
Persistent link: https://www.econbiz.de/10013274618
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