Works matching IS 09434062 AND DT 2015 AND VI 30 AND IP 2
Results: 17
Kernel-based mixture models for classification.
- Published in:
- Computational Statistics, 2015, v. 30, n. 2, p. 317, doi. 10.1007/s00180-014-0535-9
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- Article
Simultaneous confidence interval for quantile regression.
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- Computational Statistics, 2015, v. 30, n. 2, p. 345, doi. 10.1007/s00180-014-0537-7
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- Article
Nonparametric estimation of conditional transition probabilities in a non-Markov illness-death model.
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- Computational Statistics, 2015, v. 30, n. 2, p. 377, doi. 10.1007/s00180-014-0538-6
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- Article
Shrinkage estimation in system regression model.
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- Computational Statistics, 2015, v. 30, n. 2, p. 359, doi. 10.1007/s00180-014-0539-5
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- Article
Bayesian variable selection in multinomial probit model for classifying high-dimensional data.
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- Computational Statistics, 2015, v. 30, n. 2, p. 399, doi. 10.1007/s00180-014-0540-z
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Prospective space-time surveillance with cumulative surfaces for geographical identification of the emerging cluster.
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- Computational Statistics, 2015, v. 30, n. 2, p. 419, doi. 10.1007/s00180-014-0541-y
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Assessing the impact of uniform and nonuniform differential item functioning items on Rasch measure: the polytomous case.
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- Computational Statistics, 2015, v. 30, n. 2, p. 441, doi. 10.1007/s00180-014-0542-x
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Reduced $$k$$ -means clustering with MCA in a low-dimensional space.
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- Computational Statistics, 2015, v. 30, n. 2, p. 463, doi. 10.1007/s00180-014-0544-8
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A general purpose module using refined descriptive sampling for installation in simulation systems.
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- Computational Statistics, 2015, v. 30, n. 2, p. 477, doi. 10.1007/s00180-014-0545-7
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- Article
Estimation of realized stochastic volatility models using Hamiltonian Monte Carlo-Based methods.
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- Computational Statistics, 2015, v. 30, n. 2, p. 491, doi. 10.1007/s00180-014-0546-6
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Semiparametric stochastic volatility modelling using penalized splines.
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- Computational Statistics, 2015, v. 30, n. 2, p. 517, doi. 10.1007/s00180-014-0547-5
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Penalized function-on-function regression.
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- Computational Statistics, 2015, v. 30, n. 2, p. 539, doi. 10.1007/s00180-014-0548-4
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Weighted quantile regression for longitudinal data.
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- Computational Statistics, 2015, v. 30, n. 2, p. 569, doi. 10.1007/s00180-014-0550-x
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Saddlepoint $$p$$ -values and confidence intervals for the class of linear rank tests for censored data under generalized randomized block design.
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- Computational Statistics, 2015, v. 30, n. 2, p. 593, doi. 10.1007/s00180-014-0551-9
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- Article
Pooled parametric inference for minimal repair systems.
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- Computational Statistics, 2015, v. 30, n. 2, p. 605, doi. 10.1007/s00180-014-0552-8
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- Article
An iterative approach to minimize the mean squared error in ridge regression.
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- Computational Statistics, 2015, v. 30, n. 2, p. 625, doi. 10.1007/s00180-015-0557-y
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- Article
Using visual statistical inference to better understand random class separations in high dimension, low sample size data.
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- Computational Statistics, 2015, v. 30, n. 2, p. 293, doi. 10.1007/s00180-014-0534-x
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- Article