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arxiv: 1808.10092 · v1 · pith:UGUD47P2new · submitted 2018-08-30 · 🧮 math.ST · stat.TH

Maximum likelihood estimator and its consistency for an (L,1) random walk in a parametric random environment

classification 🧮 math.ST stat.TH
keywords environmentrandombpiremultitypeconsistencyestimatorlikelihoodmaximum
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Consider an $(L,1)$ random walk in an i.i.d. random environment, whose environment involves certain parameter. We get the maximum likelihood estimator(MLE) of the environment parameter which can be written as functionals of a multitype branching process with immigration in a random environment(BPIRE). Because the offspring distributions of the involved multitype BPIRE are of the linear fractional type, the limit invariant distribution of the multitype BPIRE can be computed explicitly. As a result, we get the consistency of the MLE. Our result is a generalization of Comets et al. [Stochastic Process. Appl. 2014, 124, 268-288].

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