Missing at random: a stochastic process perspective

HIGHLIGHTS

• who: Biometrika, and R. M., DANIEL from the DivisionCardiff University have published the paper: Missing at random: a stochastic process perspective, in the Journal: (JOURNAL)
• what: The authors demonstrate that the usual missingness-at-random conditions are equivalent to requiring particular stochastic processes to be adapted to a set-indexed filtration. The authors aim to assess the evidence, as quantified by their likelihood ratio, in favour of a measure P relative to another measure Q. Since likelihood functions are just pairwise comparisons to an arbitrary reference measure, this simplification is not restrictive. This said, the . . .
  

   

  

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