Publication | Open Access
On density estimation from ergodic processes
27
Citations
14
References
1998
Year
Density EstimationEngineeringStochastic ProcessesDependent ProcessesMarginal DistributionStatistical InferenceProbability TheoryInitial SegmentsStochastic GeometryStochastic PhenomenonEstimation TheoryStatistics
We consider the problem of $L_p$-consistent density estimation from the initial segments of strongly dependent processes. It is shown that no procedure can consistently estimate the one-dimensional marginal density of every stationary ergodic process for which such a density exists. A similar result is established for the problem of estimating the support of the marginal distribution of an ergodic process.
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