articleTop 10% cited
Using Kernel Density Estimates to Investigate Multimodality
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1981 · Vol. 43(1) · pp. 97–99
Bernard W. Silverman✉(University of Bath)
Abstract
Summary A technique for using kernel density estimates to investigate the number of modes in a population is described and discussed. The amount of smoothing is chosen automatically in a natural way.
Bayesian Methods and Mixture ModelsStatistical Methods and Bayesian InferenceGaussian Processes and Bayesian InferenceKernel (algebra)SmoothingMultimodalityKernel density estimationVariable kernel density estimationStatisticsMathematicsKernel methodComputer scienceArtificial intelligence
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998
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References
Bootstrap Methods: Another Look at the Jackknife
The Annals of Statistics · 1979 · 17,226 citations
An introduction to probability theory and its applications
Journal of the Franklin Institute · 1958 · 29,713 citations
An Introduction to Probability Theory and Its Applications.
American Mathematical Monthly · 1967 · 6,114 citations
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