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- W214913408 abstract "We provide a truncated estimation method to analyze the non-asymptotic properties of a variety of ratio type functional’s estimators when the data may possibly be dependent. As an illustration, the parametric and nonparametric estimation problems on a time interval of a fixed length are considered. In particular, parameters of linear multivariate autoregressive process are estimated. Moreover, the estimation problem of a multivariate logarithmic derivative of a noise density of an autoregressive process with guaranteed accuracy is solved. It is shown that all the truncated estimators have not only guaranteed accuracy in the sense of the L m -norm, m ≥ 2, as well as asymptotic properties of basic estimators." @default.
- W214913408 created "2016-06-24" @default.
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- W214913408 date "2014-01-01" @default.
- W214913408 modified "2023-09-23" @default.
- W214913408 title "Guaranteed Estimation of Logarithmic Density Derivative by Dependent Observations" @default.
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- W214913408 doi "https://doi.org/10.1007/978-1-4939-0569-0_31" @default.
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