Works matching IS 09434062 AND DT 2022 AND VI 37 AND IP 3
Results: 20
Bayesian variable selection and estimation in quantile regression using a quantile-specific prior.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1339, doi. 10.1007/s00180-021-01181-5
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Smallest covering regions and highest density regions for discrete distributions.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1229, doi. 10.1007/s00180-021-01172-6
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A sequential test and a sequential sampling plan based on the process capability index C<sub>pmk</sub>.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1523, doi. 10.1007/s00180-021-01169-1
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New approximate Bayesian computation algorithm for censored data.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1369, doi. 10.1007/s00180-021-01167-3
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Covariance matrix testing in high dimension using random projections.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1111, doi. 10.1007/s00180-021-01166-4
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Robust estimation of the number of factors for the pair-elliptical factor models.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1495, doi. 10.1007/s00180-021-01165-5
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Applying the rescaling bootstrap under imputation for a multistage sampling design.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1461, doi. 10.1007/s00180-021-01164-6
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Hierarchical and multivariate regression models to fit correlated asymmetric positive continuous outcomes.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1435, doi. 10.1007/s00180-021-01163-7
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Bayesian analysis of mixture autoregressive models covering the complete parameter space.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1399, doi. 10.1007/s00180-021-01162-8
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A Bayesian approach to the analysis of asymmetric association for two-way contingency tables.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1311, doi. 10.1007/s00180-021-01161-9
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Objective Bayesian group variable selection for linear model.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1287, doi. 10.1007/s00180-021-01160-w
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Dynamic sampling from a discrete probability distribution with a known distribution of rates.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1203, doi. 10.1007/s00180-021-01159-3
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A new estimation for INAR(1) process with Poisson distribution.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1185, doi. 10.1007/s00180-021-01157-5
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On community structure validation in real networks.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1165, doi. 10.1007/s00180-021-01156-6
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Statistical inference in massive datasets by empirical likelihood.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1143, doi. 10.1007/s00180-021-01153-9
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The modified maximum likelihood estimators for the parameters of the regression model under bivariate median ranked set sampling.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1069, doi. 10.1007/s00180-021-01152-w
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Laplace regression with clustered censored data.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1041, doi. 10.1007/s00180-021-01151-x
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Characterizations and generalizations of the negative binomial distribution.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1255, doi. 10.1007/s00180-021-01150-y
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Kolmogorov–Smirnov simultaneous confidence bands for time series distribution function.
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- Computational Statistics, 2022, v. 37, n. 3, p. 1015, doi. 10.1007/s00180-021-01149-5
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Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process.
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- Computational Statistics, 2022, v. 37, n. 3, p. 995, doi. 10.1007/s00180-021-01148-6
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