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Bayesian Sensor Design and Analytical Selectivity Exploring the optimal dynamic treatment regime for clinical medicine Inference for the ProgressivelyType-ICensored Step-stress Accelerated LifeTestunderInterval Monitoring Quantum computation, quantum algorithms and implications on Data Science SIR-based examination of the policy effects on the COVID-19 spread in U.S. Statistical perspectives in teaching application-oriented Deep Learning The optimal condition-based maintenance policy under the gamma degradation process Clusterization of COVID-19 deceased patients in Rio Grande do Sul/Brazi Bayesian quantile regression models for heavy tailed bounded variables using the No-U-Turn sampler Mixed models for individual growth in random environment through Laplace approximation – Linear regression models using finite mixture of Sinh-normal distributions
