Show simple item record

dc.contributor.authorBoswell, Steven Blake
dc.date.accessioned 2018-06-18T17:23:13Z
dc.date.available 2018-06-18T17:23:13Z
dc.date.issued 1983-11
dc.identifier.citation Boswell, Steven Blake. "Nonparametric Mode Estimation for Higher Dimensional Densities." (1983) https://hdl.handle.net/1911/101570.
dc.identifier.urihttps://hdl.handle.net/1911/101570
dc.descriptionThis work was also published as a Rice University thesis/dissertation: http://hdl.handle.net/1911/15804
dc.description.abstract In this study a family of estimators is developed for local maxima, or modes, of a multivariate probability density function. The mode estimators are computationally feasible iterative optimization procedures utilizing nonparametric techniques of probability density estimation which generalize easily to sample spaces of arbitrary dimension. The estimators are proven to be strongly consistent for any distribution possessing mild continuity properties. Three specific mode estimators are evaluated by extensive Monte Carlo testing upon samples from both classical unimodal and nonstandard unimodal and bimodal distributions. Detection of the presence of multiple modes is a matter of special concern in many investigations. Thus a global strategy is developed and tested to demonstrate the potential of the estimators for complete characterization of sample modality.
dc.format.extent 214 pp
dc.title Nonparametric Mode Estimation for Higher Dimensional Densities
dc.type Technical report
dc.date.note November 1983
dc.identifier.digital TR83-28
dc.type.dcmi Text


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record