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Search: subject:"minimax concave penalty"
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Minimax concave penalty
3
Accelerated failure time model
1
Algorithm
1
Algorithmus
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Forecasting model
1
Group coordinate decent algorithm
1
Grouping structure
1
High dimension
1
High-dimensional data
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High-dimensional variable selection
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Least absolute shrinkage and selection operator
1
Mathematical programming
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Mathematische Optimierung
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Oracle property
1
Penalized least squares
1
Prognoseverfahren
1
SCAD
1
Single-index model
1
Smoothly clipped absolute deviation penalty
1
Theorie
1
Theory
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minimax concave penalty
1
quantile LSTM
1
short-term load forecasting
1
whale optimization algorithm
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Chai, Hao
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Hu, Jianwei
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Xu, Pei-Rong
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Zheng, Weihua
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Journal of Multivariate Analysis
2
Computational Statistics & Data Analysis
1
Journal of forecasting
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ECONIS (ZBW)
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1
Deep learning with regularized robust long- and short-term memory network for probabilistic short-term load forecasting
Jiang, He
;
Zheng, Weihua
- In:
Journal of forecasting
41
(
2022
)
6
,
pp. 1201-1216
Persistent link: https://www.econbiz.de/10013465692
Saved in:
2
Adjusted regularized estimation in the accelerated failure time model with high dimensional covariates
Hu, Jianwei
;
Chai, Hao
- In:
Journal of Multivariate Analysis
122
(
2013
)
C
,
pp. 96-114
(LASSO) and
minimax
concave
penalty
(MCP) for estimation and variable selection in the AFT model. Our work includes the …
Persistent link: https://www.econbiz.de/10010702796
Saved in:
3
Group coordinate descent algorithms for nonconvex penalized regression
Wei, Fengrong
;
Zhu, Hongxiao
- In:
Computational Statistics & Data Analysis
56
(
2012
)
2
,
pp. 316-326
absolute deviation (SCAD) penalty and the
minimax
concave
penalty
(MCP). These penalty functions, in comparison to the …
Persistent link: https://www.econbiz.de/10010871377
Saved in:
4
Non-convex penalized estimation in high-dimensional models with single-index structure
Wang, Tao
;
Xu, Pei-Rong
;
Zhu, Li-Xing
- In:
Journal of Multivariate Analysis
109
(
2012
)
C
,
pp. 221-235
As promising alternatives to the LASSO, non-convex penalized methods, such as the SCAD and the
minimax
concave
penalty
…
Persistent link: https://www.econbiz.de/10011042076
Saved in:
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