Results 11 to 20 of about 229,123 (176)
Nonparametric ridge estimation
The Annals of Statistics, 2014 We study the problem of estimating the ridges of a density function. Ridge estimation is an extension of mode finding and is useful for understanding the structure of a density. It can also be used to find hidden structure in point cloud data.
Genovese, Christopher R. +3 more
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Nonparametric estimation with aggregated data. [PDF]
Econometric Theory, 2002 We introduce a kernel-based estimator of the density function and regression function for data that have been grouped into family totals. We allow for a common intrafamily component but require that observations from different families be independent. We
Linton, Oliver, Whang, Yoon-Jae
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Nonparametric instrumental variable estimation [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2017 In this article, we introduce the commands npiv and npivcv, which implement nonparametric instrumental-variable (NPIV) estimation methods without and with a cross-validated choice of tuning parameters, respectively. Both commands can impose the constraint that the resulting estimated function is monotone.
Wilhelm, D, Kim, D, Chetverikov, D
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Nonparametric estimation via partial derivatives. [PDF]
J R Stat Soc Series B Stat MethodolAbstract Traditional nonparametric estimation methods often lead to a slow convergence rate in large dimensions and require unrealistically large dataset sizes for reliable conclusions. We develop an approach based on partial derivatives, either observed or estimated, to effectively estimate the function at near-parametric convergence ...
Dai X.
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On nonparametric spectral estimation [PDF]
Circuits Systems and Signal Processing, 1999 Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Stoica, Petre, Sundin, Tomas
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The Annals of Mathematical Statistics, 1951 In the three papers, [1], [2], [3], entitled "Nonparametric estimation", Scheffe and Tukey generalized previous results on tolerance regions and extended them to cover all continuous and discontinuous distribution functions. This note contains four comments arising from these papers: first, on a method for giving bounds to the confidence level in the ...
Fraser, D. A. S., Wormleighton, R.
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Nonparametric Estimation of the Interval Reliability [PDF]
Journal of Statistical Theory and Applications (JSTA), 2014 The interval reliability of a repairable system is the probability that the system is operating at a specified time and will continue to operate for a specified interval of time.
Angel Mathew, N. Balakrishna
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Nonparametric Bayesian Volatility Estimation [PDF]
SSRN Electronic Journal, 2018 Given discrete time observations over a fixed time interval, we study a nonparametric Bayesian approach to estimation of the volatility coefficient of a stochastic differential equation. We postulate a histogram-type prior on the volatility with piecewise constant realisations on bins forming a partition of the time interval. The values on the bins are
Gugushvili, S. +3 more
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Partition Learning for Multiagent Planning
Journal of Robotics, 2012 Automated surveillance of large geographic areas and target tracking by a team of autonomous agents is a topic that has received significant research and development effort. The standard approach is to decompose this problem into two steps.
Jared Wood, J. Karl Hedrick
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