• Aad W. van der Vaart
  • Jon A. Wellner
Part of the Springer Series in Statistics book series (SSS)


Let the parameter set ⊝ be a subset of a Banach space, and let
$${\psi _n}:\Theta \mapsto L,\psi :\Theta \mapsto L$$
be random maps and a deterministic map, respectively, with values in another Banach space L. Here “random maps” means that each Ψn(θ) is defined on the product of ⊝ and some probability space. The dependence on the probability space is suppressed in the notation.


Banach Space Maximum Likelihood Estimator Outer Probability Statistical Application Empirical Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1996

Authors and Affiliations

  • Aad W. van der Vaart
    • 1
  • Jon A. Wellner
    • 2
  1. 1.Department of Mathematics and Computer ScienceFree UniversityAmsterdamThe Netherlands
  2. 2.StatisticsUniversity of WashingtonSeattleUSA

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