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Category Archives: Communications in Statistics – Simulation and Computation

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Model selection for inferring Gaussian graphical models

Posted on 22 November 2021 by
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Posted in Communications in Statistics - Simulation and Computation

Scalable kernel two-sample tests via empirical likelihood and jackknife

Posted on 22 November 2021 by
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Posted in Communications in Statistics - Simulation and Computation

A bivariate geometric distribution via conditional specification: properties and applications

Posted on 22 November 2021 by
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Posted in Communications in Statistics - Simulation and Computation

Distance-based directional depth classifiers: a robustness study

Posted on 18 November 2021 by
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Posted in Communications in Statistics - Simulation and Computation

A sequential sampling approach for discriminating log-normal, Weibull, and log-logistic distributions

Posted on 16 November 2021 by
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Posted in Communications in Statistics - Simulation and Computation

Variable selection in double/debiased machine learning for causal inference: an outcome-adaptive approach

Posted on 15 November 2021 by
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Posted in Communications in Statistics - Simulation and Computation

Optimal personalized treatment selection with multivariate outcome measures in a multiple treatment case

Posted on 15 November 2021 by
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Posted in Communications in Statistics - Simulation and Computation

Nonlinear multiplicative distortion regression models with second-order estimation

Posted on 11 November 2021 by
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Posted in Communications in Statistics - Simulation and Computation

Sample size for clustered count data based on discrete Weibull regression model

Posted on 9 November 2021 by Hanna YooDepartment of Big Data, Busan University of Foreign Studies, Busan, Korea
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Posted in Communications in Statistics - Simulation and Computation

Variable selection in finite mixture of location and mean regression models using skew-normal distribution

Posted on 8 November 2021 by
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Posted in Communications in Statistics - Simulation and Computation

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