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Model Selection for High-Dimensional Models
Handbook of Survival Analysis
◽
10.1201/b16248-24
◽
2016
◽
pp. 309-330
Keyword(s):
Model Selection
◽
High Dimensional
◽
Selection For
◽
Dimensional Models
Download Full-text
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Model Selection for High-Dimensional Problems
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10.1007/978-1-4614-7750-1_77
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pp. 2093-2118
Author(s):
Jing-Zhi Huang
◽
Zhan Shi
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Wei Zhong
Keyword(s):
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Model Selection for High-Dimensional Quadratic Regression via Regularization
Journal of the American Statistical Association
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10.1080/01621459.2016.1264956
◽
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Vol 113
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◽
pp. 615-625
◽
Cited By ~ 11
Author(s):
Ning Hao
◽
Yang Feng
◽
Hao Helen Zhang
Keyword(s):
Model Selection
◽
High Dimensional
◽
Quadratic Regression
◽
Selection For
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A stepwise regression method and consistent model selection for high-dimensional sparse linear models
Statistica Sinica
◽
10.5705/ss.2010.081
◽
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◽
Vol 21
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◽
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Author(s):
Ching-Kang Ing
◽
Tze Leung Lai
Keyword(s):
Model Selection
◽
Stepwise Regression
◽
Linear Models
◽
Regression Method
◽
High Dimensional
◽
Consistent Model
◽
Selection For
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Model selection for high-dimensional linear regression with dependent observations
The Annals of Statistics
◽
10.1214/19-aos1872
◽
2020
◽
Vol 48
(4)
◽
pp. 1959-1980
Author(s):
Ching-Kang Ing
Keyword(s):
Model Selection
◽
Linear Regression
◽
High Dimensional
◽
Dependent Observations
◽
Selection For
Download Full-text
Model selection for high-dimensional data
2016 50th Asilomar Conference on Signals, Systems and Computers
◽
10.1109/acssc.2016.7869114
◽
2016
◽
Cited By ~ 2
Author(s):
Arash Owrang
◽
Magnus Jansson
Keyword(s):
Model Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Selection For
Download Full-text
Global optimal model selection for high-dimensional survival analysis
Journal of Statistical Computation and Simulation
◽
10.1080/00949655.2021.1954183
◽
2021
◽
pp. 1-14
Author(s):
Guotao Chu
◽
Gyuhyeong Goh
Keyword(s):
Survival Analysis
◽
Model Selection
◽
High Dimensional
◽
Optimal Model
◽
Global Optimal
◽
Selection For
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An expectation maximization algorithm for high-dimensional model selection for the Ising model with misclassified states*
Journal of Applied Statistics
◽
10.1080/02664763.2021.1970121
◽
2021
◽
pp. 1-20
Author(s):
David G. Sinclair
◽
Giles Hooker
Keyword(s):
Ising Model
◽
Model Selection
◽
Expectation Maximization
◽
Expectation Maximization Algorithm
◽
High Dimensional
◽
Dimensional Model
◽
Selection For
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Simultaneous Feature and Model Selection for High-Dimensional Data
2011 IEEE 23rd International Conference on Tools with Artificial Intelligence
◽
10.1109/ictai.2011.16
◽
2011
◽
Author(s):
Alessandro Perolini
◽
Sebastien Guerif
Keyword(s):
Model Selection
◽
High Dimensional Data
◽
High Dimensional
◽
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Relative Cost Based Model Selection for Sparse High-Dimensional Linear Regression Models
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
◽
10.1109/icassp40776.2020.9054045
◽
2020
◽
Author(s):
Prakash B. Gohain
◽
Magnus Jansson
Keyword(s):
Model Selection
◽
Linear Regression
◽
Regression Models
◽
High Dimensional
◽
Relative Cost
◽
Linear Regression Models
◽
Selection For
Download Full-text
Bayesian model selection for high-dimensional data
Handbook of Statistics - Principles and Methods for Data Science
◽
10.1016/bs.host.2019.08.001
◽
2020
◽
pp. 207-248
Author(s):
Naveen Naidu Narisetty
Keyword(s):
Model Selection
◽
Bayesian Model
◽
High Dimensional Data
◽
Bayesian Model Selection
◽
High Dimensional
◽
Selection For
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