Listar Modelización, Optimización e Inferencia Estadística (MODES) por autor "Sperlich, Stefan"

Mostrando ítems 1-3 de 3

    • Bandwidth Selection for Prediction in Regression 

      Barbeito, Inés; Cao, Ricardo; Sperlich, Stefan (M D P I AG, 2019-08-05)
      [Abstract] There exist many different methods to choose the bandwidth in kernel regression. If, however, the target is regression based prediction for samples or populations with potentially different distributions, then ...

    • Simultaneous Inference for Empirical Best Predictors With a Poverty Study in Small Areas 

      Reluga, Katarzyna; Lombardía, María José; Sperlich, Stefan (Taylor and Francis Group, 2023-01)
      [Abstract]: Today, generalized linear mixed models (GLMM) are broadly used in many fields. However, the development of tools for performing simultaneous inference has been largely neglected in this domain. A framework for ...

    • Simultaneous inference for linear mixed model parameters with an application to small area estimation 

      Reluga, Katarzyna; Lombardía, María José; Sperlich, Stefan (John Wiley & Sons, 2022)
      [Abstract]: Over the past decades, linear mixed models have attracted considerable attention in various fields of applied statistics. They are popular whenever clustered, hierarchical or longitudinal data are investigated. ...