Works matching IS 09434062 AND DT 2022 AND VI 37 AND IP 5
Results: 24
The 2017 Data Challenge of the American Statistical Association.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2087, doi. 10.1007/s00180-022-01257-w
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Household energy expenditure and consumption patterns in the United States.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2095, doi. 10.1007/s00180-022-01255-y
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Multivariate understanding of income and expenditure in United States households with statistical learning.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2129, doi. 10.1007/s00180-022-01251-2
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Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2741, doi. 10.1007/s00180-022-01213-8
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Optimal control for parameter estimation in partially observed hypoelliptic stochastic differential equations.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2471, doi. 10.1007/s00180-022-01212-9
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Non-parametric seasonal unit root tests under periodic non-stationary volatility.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2581, doi. 10.1007/s00180-022-01211-w
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Two sample tests for Semi-Markov processes with parametric sojourn time distributions: an application in sensory analysis.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2553, doi. 10.1007/s00180-022-01210-x
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Nomclust 2.0: an R package for hierarchical clustering of objects characterized by nominal variables.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2161, doi. 10.1007/s00180-022-01209-4
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Robust sparse Bayesian infinite factor models.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2693, doi. 10.1007/s00180-022-01208-5
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Regularized target encoding outperforms traditional methods in supervised machine learning with high cardinality features.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2671, doi. 10.1007/s00180-022-01207-6
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Interaction screening via canonical correlation.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2637, doi. 10.1007/s00180-022-01206-7
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Fast simulation of tempered stable Ornstein–Uhlenbeck processes.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2517, doi. 10.1007/s00180-022-01205-8
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Overcoming convergence problems in PLS path modelling.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2437, doi. 10.1007/s00180-022-01204-9
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Inference for copula-based dependent competing risks model with step-stress accelerated life test under generalized progressive hybrid censoring.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2399, doi. 10.1007/s00180-022-01203-w
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Ensemble updating of categorical state vectors.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2363, doi. 10.1007/s00180-022-01202-x
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Estimation of distribution function using L ranked set sampling and robust extreme ranked set sampling with application to reliability.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2333, doi. 10.1007/s00180-022-01201-y
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A variational inference for the Lévy adaptive regression with multiple kernels.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2493, doi. 10.1007/s00180-022-01200-z
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Adaptive step-length selection in gradient boosting for Gaussian location and scale models.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2295, doi. 10.1007/s00180-022-01199-3
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Improved confidence intervals based on ranked set sampling designs within a parametric bootstrap approach.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2267, doi. 10.1007/s00180-022-01198-4
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On goodness-of-fit testing for Burr type X distribution under progressively type-II censoring.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2249, doi. 10.1007/s00180-022-01197-5
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Tuning selection for two-scale kernel density estimators.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2231, doi. 10.1007/s00180-022-01196-6
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Oblique decision tree induction by cross-entropy optimization based on the von Mises–Fisher distribution.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2203, doi. 10.1007/s00180-022-01195-7
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A note on imputing squares via polynomial combination approach.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2185, doi. 10.1007/s00180-022-01194-8
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Uniform design with prior information of factors under weighted wrap-around L2-discrepancy.
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- Computational Statistics, 2022, v. 37, n. 5, p. 2717, doi. 10.1007/s00180-022-01193-9
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