Journal ArticleDOI
Using Kernel Density Estimates to Investigate Multimodality
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This article is published in Journal of the royal statistical society series b-methodological.The article was published on 1981-09-01. It has received 909 citations till now. The article focuses on the topics: Variable kernel density estimation & Kernel (statistics).read more
Citations
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Bayesian Density Estimation and Inference Using Mixtures
Michael Escobar,Mike West +1 more
TL;DR: In this article, the authors describe and illustrate Bayesian inference in models for density estimation using mixtures of Dirichlet processes and show convergence results for a general class of normal mixture models.
Journal ArticleDOI
Category specific semantic impairments
TL;DR: A quantitative investigation of the visual identification and auditory comprehension deficits of 4 patients who had made a partial recovery from herpes simplex encephalitis finds category specificity in the organization of meaning systems that are also modality specific semantic systems.
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The Dip Test of Unimodality
J. A. Hartigan,P. M. Hartigan +1 more
TL;DR: The dip test as mentioned in this paper measures multimodality in a sample by the maximum difference, over all sample points, between the empirical distribution function, and the unimodal distribution function that minimizes that maximum difference.
References
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Journal ArticleDOI
An Introduction to Probability Theory and Its Applications
David A. Freedman,William Feller +1 more
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Bootstrap Methods: Another Look at the Jackknife
TL;DR: In this article, the authors discuss the problem of estimating the sampling distribution of a pre-specified random variable R(X, F) on the basis of the observed data x.
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Remarks on Some Nonparametric Estimates of a Density Function
TL;DR: In this article, some aspects of the estimation of the density function of a univariate probability distribution are discussed, and the asymptotic mean square error of a particular class of estimates is evaluated.