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Iteratively reweighted adaptive lasso for conditional heteroscedastic
  time series with applications to AR-ARCH type processes

Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes

23 February 2015
F. Ziel
    AI4TS
ArXivPDFHTML

Papers citing "Iteratively reweighted adaptive lasso for conditional heteroscedastic time series with applications to AR-ARCH type processes"

4 / 4 papers shown
Title
Day-ahead electricity price forecasting with high-dimensional
  structures: Univariate vs. multivariate modeling frameworks
Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks
F. Ziel
R. Weron
AI4TS
18
184
0
17 May 2018
Forecasting wind power - Modeling periodic and non-linear effects under
  conditional heteroscedasticity
Forecasting wind power - Modeling periodic and non-linear effects under conditional heteroscedasticity
F. Ziel
Carsten Croonenbroeck
D. Ambach
24
78
0
02 Jun 2016
Lasso estimation for GEFCom2014 probabilistic electric load forecasting
Lasso estimation for GEFCom2014 probabilistic electric load forecasting
F. Ziel
Bidong Liu
21
72
0
04 Mar 2016
Autoregressive Process Modeling via the Lasso Procedure
Autoregressive Process Modeling via the Lasso Procedure
Yuval Nardi
Alessandro Rinaldo
73
157
0
08 May 2008
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