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Plug-in principle

In statistics, the plug-in principle is the method of estimation of functionals of a population distribution by evaluating the same functionals at… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
We consider the problem of estimating smooth integrated functionals of a monotone nonincreasing density $f$ on $[0,\infty)$ using… Expand
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2017
2017
This paper studies non-separable models with a continuous treatment when the dimension of the control variables is high and… Expand
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2017
2017
The topical information security problem of development of statistical tests for hypotheses on the discrete uniform distribution… Expand
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2016
2016
The R package quantreg.nonpar implements nonparametric quantile regression methods to estimate and make inference on partially… Expand
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2016
2016
Several reproducibility probability (RP)-estimators for the binomial, sign, Wilcoxon signed rank and Kendall tests are studied… Expand
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2013
2013
A new Bayesian multi-chain Markov Switching GARCH model for dynamic hedging in energy futures markets is developed by… Expand
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Review
2011
Review
2011
Psychologists estimate the precision of their statistics both to conduct hypothesis tests and to construct confidence intervals… Expand
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2009
2009
We propose a new approach to conditional quantile function estimation that combines both parametric and nonparametric techniques… Expand
2005
2005
We consider the Gaussian ARFIMA(j,d,l) model, with spectral density and an unknown mean . For this class of models, the n−1… Expand