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Joint Tensor Expectile Regression for Electricity Day-Ahead Price Curves

https://doi.org/10.2139/ssrn.3363167
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The 32 checked references that resolve
resolves10.1080/01621459.2014.909317
On the Prediction of Stationary Functional Time Series
resolves10.1137/080716542
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
resolves10.1007/3-540-27395-6_5
Common Functional Implied Volatility Analysis
resolves10.18637/jss.v060.i04
<b>trustOptim</b>: An<i>R</i>Package for Trust Region Optimization with Sparse Hessians
resolves10.1093/biomet/75.4.761
<i>M</i> -quantiles
resolves10.1016/j.ecosta.2016.09.002
Change point and trend analyses of annual expectile curves of tropical storms
resolves10.1016/j.csda.2017.12.001
Multivariate factorizable expectile regression with application to fMRI data
resolves10.1080/07350015.2015.1054493
Confidence Corridors for Multivariate Generalized Quantile Regression
resolves10.1080/07350015.2015.1092976
An Adaptive Functional Autoregressive Forecast Model to Predict Electricity Price Curves
resolves10.1137/1.9780898719857
Trust Region Methods
resolves10.1016/j.jeconom.2009.01.001
Quantiles, expectiles and splines
resolves10.1016/j.ijforecast.2009.12.015
Quantiles as optimal point forecasts
resolves10.1007/s11222-013-9425-1
Functional data analysis of generalized regression quantiles
resolves10.1080/03461238.2018.1426038
Multivariate geometric expectiles
resolves10.1016/0047-259X(75)90042-1
Reduced-rank regression for the multivariate linear model
resolves10.2307/1913643
Regression Quantiles
resolves10.1016/j.jeconom.2008.12.002
Assessing value at risk with CARE, the Conditional Autoregressive Expectile models
resolves10.1214/13-AOAS652
Modeling and forecasting electricity spot prices: A functional data perspective
resolves10.1080/10618600.2017.1401544
Tensor-on-Tensor Regression
resolves10.1080/01621459.2016.1219259
Forecasting Generalized Quantiles of Electricity Demand: A Functional Data Approach
resolves10.1016/j.ijforecast.2015.11.008
A hybrid model for GEFCom2014 probabilistic electricity price forecasting
resolves10.1016/j.ijforecast.2014.12.004
Probabilistic forecasting of electricity spot prices using Factor Quantile Regression Averaging
resolves10.1214/12-STS400
A Unified Framework for High-Dimensional Analysis of $M$-Estimators with Decomposable Regularizers
resolves10.1007/s10107-004-0552-5
Smooth minimization of non-smooth functions
resolves10.2307/1911031
Asymmetric Least Squares Estimation and Testing
resolves10.1093/bioinformatics/btw324
R.JIVE for exploration of multi-source molecular data
resolves10.1016/j.enpol.2014.05.004
The impact of renewable energies on EEX day-ahead electricity prices
resolves10.14495/jsiaml.7.13
Joint singular value decomposition algorithm based on the Riemannian trust-region method
resolves10.1016/j.csda.2009.05.002
Optimal expectile smoothing
resolves10.1016/j.ijforecast.2008.08.004
Forecasting spot electricity prices: A comparison of parametric and semiparametric time series models
resolves10.1111/j.1467-9868.2007.00591.x
Dimension Reduction and Coefficient Estimation in Multivariate Linear Regression
resolves10.1016/j.apenergy.2016.05.111
Forecasting wind power – Modeling periodic and non-linear effects under conditional heteroscedasticity
The 13 references without a DOI — listed, not checked
no DOI — not checkedref1
no DOI — not checkedref7
no DOI — not checkedref10
no DOI — not checkedref15
no DOI — not checkedref18
no DOI — not checkedBoosted sparse and low-rank tensor regression
no DOI — not checkedref27
no DOI — not checkedref30
no DOI — not checkedref31
no DOI — not checkedEstimation of (near) low-rank matrices with noise and high-dimensional scaling
no DOI — not checkedA dual framework for low-rank tensor completion
no DOI — not checkedOpen power system data
no DOI — not checkedref43
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