Works matching IS 00203157 AND DT 2022 AND VI 74 AND IP 3
Results: 9
Bayes factor asymptotics for variable selection in the Gaussian process framework.
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- Annals of the Institute of Statistical Mathematics, 2022, v. 74, n. 3, p. 581, doi. 10.1007/s10463-021-00810-6
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A high-dimensional M-estimator framework for bi-level variable selection.
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- Annals of the Institute of Statistical Mathematics, 2022, v. 74, n. 3, p. 559, doi. 10.1007/s10463-021-00809-z
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Characterizing the optimal solutions to the isotonic regression problem for identifiable functionals.
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- Annals of the Institute of Statistical Mathematics, 2022, v. 74, n. 3, p. 489, doi. 10.1007/s10463-021-00808-0
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The variable selection by the Dantzig selector for Cox's proportional hazards model.
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- Annals of the Institute of Statistical Mathematics, 2022, v. 74, n. 3, p. 515, doi. 10.1007/s10463-021-00807-1
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Robust model selection with covariables missing at random.
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- Annals of the Institute of Statistical Mathematics, 2022, v. 74, n. 3, p. 539, doi. 10.1007/s10463-021-00806-2
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Characterizations of the normal distribution via the independence of the sample mean and the feasible definite statistics with ordered arguments.
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- Annals of the Institute of Statistical Mathematics, 2022, v. 74, n. 3, p. 473, doi. 10.1007/s10463-021-00805-3
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Semiparametric inference on general functionals of two semicontinuous populations.
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- Annals of the Institute of Statistical Mathematics, 2022, v. 74, n. 3, p. 451, doi. 10.1007/s10463-021-00804-4
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Wigner and Wishart ensembles for sparse Vinberg models.
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- Annals of the Institute of Statistical Mathematics, 2022, v. 74, n. 3, p. 399, doi. 10.1007/s10463-021-00800-8
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- Article
Robust distributed estimation and variable selection for massive datasets via rank regression.
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- Annals of the Institute of Statistical Mathematics, 2022, v. 74, n. 3, p. 435, doi. 10.1007/s10463-021-00803-5
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- Article