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Estimation theory
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Advances in macroeconomics
International journal of forecasting
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699
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278
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238
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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
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
Saved in:
3
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:
4
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:
5
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:
6
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
Saved in:
7
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:
8
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:
9
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:
10
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
Saved in:
11
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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12
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
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13
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:
14
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
Saved in:
15
Is walmart the same as ten years ago? : a non-parametric difference-in-differences analysis of walmart development
Wang, Bingbing
- In:
Regional science & urban economics
99
(
2023
),
pp. 1-24
Persistent link: https://www.econbiz.de/10014250613
Saved in:
16
Estimation of discrete choice network models with missing outcome data
Chen, Denghui
;
Kiefer, Hua
;
Liu, Xiaodong
- In:
Regional science & urban economics
97
(
2022
),
pp. 1-14
Persistent link: https://www.econbiz.de/10013445629
Saved in:
17
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:
18
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:
19
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:
20
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:
21
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:
22
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:
23
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:
24
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:
25
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:
26
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:
27
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:
28
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:
29
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:
30
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:
31
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:
32
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:
33
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:
34
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:
35
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:
36
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:
37
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
Saved in:
38
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:
39
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
Saved in:
40
Estimation of fixed effects spatial dynamic panel data models with small T and unknown heteroskedasticity
Li, Liyao
;
Yang, Zhenlin
- In:
Regional science & urban economics
81
(
2020
),
pp. 1-20
Persistent link: https://www.econbiz.de/10012427840
Saved in:
41
Combining prediction intervals in the M4 competition
Grushka-Cockayne, Yael
;
Jose, Victor Richmond R.
- In:
International journal of forecasting
36
(
2020
)
1
,
pp. 178-185
Persistent link: https://www.econbiz.de/10012406244
Saved in:
42
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:
43
Housing vintage and price dynamics
Rolheiser, Lyndsey
;
Dijk, Dorinth van
;
Minne, Alex van de
- In:
Regional science & urban economics
84
(
2020
),
pp. 1-12
Persistent link: https://www.econbiz.de/10012534771
Saved in:
44
Bias corrections for exponentially transformed forecasts : are they worth the effort?
Demetrescu, Matei
;
Golosnoy, Vasyl
;
Titova, Anna
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 761-780
Persistent link: https://www.econbiz.de/10012496846
Saved in:
45
An information-theoretic approach for forecasting interval-valued SP500 daily returns
Buansing, T. S. Tuang
;
Golan, Amos
;
Ullah, Aman
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 800-813
Persistent link: https://www.econbiz.de/10012496866
Saved in:
46
Interaction matrix selection in spatial autoregressive models with an application to growth theory
Debarsy, Nicolas
;
Ertur, Kamil C.
- In:
Regional science & urban economics
75
(
2019
),
pp. 49-69
Persistent link: https://www.econbiz.de/10012119136
Saved in:
47
A time-space dynamic panel data model with spatial moving average errors
Baltagi, Badi H.
;
Fingleton, Bernard
;
Pirotte, Alain
- In:
Regional science & urban economics
76
(
2019
),
pp. 13-31
Persistent link: https://www.econbiz.de/10012267289
Saved in:
48
Identification and estimation of spatial dynamic panel simultaneous equations models
Yang, Kai
;
Lee, Lung-fei
- In:
Regional science & urban economics
76
(
2019
),
pp. 32-46
Persistent link: https://www.econbiz.de/10012267307
Saved in:
49
Robust LM tests for spatial dynamic panel data models
Bera, Anil K.
;
Doğan, Osman
;
Taṣpınar, Süleyman
; …
- In:
Regional science & urban economics
76
(
2019
),
pp. 47-66
Persistent link: https://www.econbiz.de/10012267310
Saved in:
50
Estimation of spatial econometric linear models with large datasets : how big can spatial Big Data be?
Arbia, Giuseppe
;
Ghiringhelli, C.
;
Mira, A.
- In:
Regional science & urban economics
76
(
2019
),
pp. 67-73
Persistent link: https://www.econbiz.de/10012267313
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