Likelihood inference for incompletely observed stochastic processes: ignorability conditions

Details Likelihood inference for incompletely observed stochastic processes: ignorability conditions Likelihood inference for incompletely observed stochastic processes: ignorability conditions

2005-07-07

arxiv.org/abs/math/0507151v1

Mathematics

Statistics Theory

32 pages, 2 figures

Scientific paper

We define a general coarsening model for stochastic processes. We decribe
incomplete data by means of sigma-fields and we give conditions of ignorability
for likelihood inference.

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