Works matching IS 09434062 AND DT 2017 AND VI 32 AND IP 3
Results: 17
Optimal variance estimation based on lagged second-order difference in nonparametric regression.
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- Computational Statistics, 2017, v. 32, n. 3, p. 1047, doi. 10.1007/s00180-016-0666-2
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Canonical correlation for principal components of time series.
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- Computational Statistics, 2017, v. 32, n. 3, p. 1191, doi. 10.1007/s00180-016-0667-1
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Bayesian inference on longitudinal-survival data with multiple features.
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- Computational Statistics, 2017, v. 32, n. 3, p. 845, doi. 10.1007/s00180-016-0681-3
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Spurious regression due to neglected of non-stationary volatility.
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- Computational Statistics, 2017, v. 32, n. 3, p. 1065, doi. 10.1007/s00180-016-0687-x
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Identifying local smoothness for spatially inhomogeneous functions.
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- Computational Statistics, 2017, v. 32, n. 3, p. 1115, doi. 10.1007/s00180-016-0694-y
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Estimation of level set trees using adaptive partitions.
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- Computational Statistics, 2017, v. 32, n. 3, p. 1139, doi. 10.1007/s00180-016-0702-2
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On weighted and locally polynomial directional quantile regression.
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- Computational Statistics, 2017, v. 32, n. 3, p. 929, doi. 10.1007/s00180-016-0708-9
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Bandwidth matrix selectors for kernel regression.
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- Computational Statistics, 2017, v. 32, n. 3, p. 1027, doi. 10.1007/s00180-017-0709-3
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Frequentist standard errors of Bayes estimators.
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- Computational Statistics, 2017, v. 32, n. 3, p. 867, doi. 10.1007/s00180-017-0710-x
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Fully robust one-sided cross-validation for regression functions.
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- Computational Statistics, 2017, v. 32, n. 3, p. 1003, doi. 10.1007/s00180-017-0713-7
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Efficient parameter estimation via modified Cholesky decomposition for quantile regression with longitudinal data.
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- Computational Statistics, 2017, v. 32, n. 3, p. 947, doi. 10.1007/s00180-017-0714-6
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Effects of measurement error on a class of single-index varying coefficient regression models.
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- Computational Statistics, 2017, v. 32, n. 3, p. 977, doi. 10.1007/s00180-017-0726-2
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A sparse hierarchical Bayesian model for detecting relevant antigenic sites in virus evolution.
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- Computational Statistics, 2017, v. 32, n. 3, p. 803, doi. 10.1007/s00180-017-0730-6
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An exact approach to ridge regression for big data.
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- Computational Statistics, 2017, v. 32, n. 3, p. 909, doi. 10.1007/s00180-017-0731-5
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Some hypothesis tests based on random projection.
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- Computational Statistics, 2017, v. 32, n. 3, p. 1165, doi. 10.1007/s00180-017-0732-4
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Choosing the most relevant level sets for depicting a sample of densities.
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- Computational Statistics, 2017, v. 32, n. 3, p. 1083, doi. 10.1007/s00180-017-0746-y
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Statistical simulation based on right skewed distributions.
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- Computational Statistics, 2017, v. 32, n. 3, p. 889, doi. 10.1007/s00180-016-0664-4
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