Browsing by Subject "Biased sampling"

Now showing items 1-5 of 5

    • Article  

      Density ratio model selection 

      Fokianos, Konstantinos (2007)
      The density ratio model presumes that the log-likelihood ratio of two unknown densities is of some known parametric linear form. However, the choice of the functional form has an impact on both estimation and testing. The ...
    • Article  

      Merging information for semiparametric density estimation 

      Fokianos, Konstantinos (2004)
      The density ratio model specifies that the likelihood ratio of m - 1 probability density functions with respect to the mth is of known parametric form without reference to any parametric model. We study the semiparametric ...
    • Article  

      A note on monte carlo maximization by the density ratio model 

      Fokianos, Konstantinos; Qin, J. (2008)
      It is well known that untractable normalizing constants of probability density functions complicate the calculation of maximum likelihood estimators. Usually numerical or Monte Carlo methods are employed in order to obtain ...
    • Article  

      On the effect of misspecifying the density ratio model 

      Fokianos, Konstantinos; Kaimi, I. (2006)
      The density ratio model specifies that the log-likelihood ratio of two unknown densities is of known linear form which depends on some finite dimensional parameters. The model can be broadened to allow for m-samples in a ...
    • Article  

      Order-restricted semiparametric inference for the power bias model 

      Davidov, O.; Fokianos, Konstantinos; Iliopoulos, George (2010)
      The power bias model, a generalization of length-biased sampling, is introduced and investigated in detail. In particular, attention is focused on order-restricted inference. We show that the power bias model is an example ...