A Balanced Approach to Adaptive Probability Density Estimation

A Balanced Approach to Adaptive Probability Density Estimation

Our development of a Fast (Mutual) Information Matching (FIM) of molecular dynamics time series data led us to the general problem of how to accurately estimate the probability density function of a random variable, especially in cases of very uneven samples. Here, we propose a novel Balanced Adapti...

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Bibliographic Details
Main Authors: Julio A. Kovacs, Cailee Helmick, Willy Wriggers
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-04-01
Series:Frontiers in Molecular Biosciences
Subjects:
adaptive density estimation
covariance ellipsoid
covariance smoothing
optimal number of nearest neighbors
R*-tree
visual criterion
Online Access:http://journal.frontiersin.org/article/10.3389/fmolb.2017.00025/full

Internet

http://journal.frontiersin.org/article/10.3389/fmolb.2017.00025/full

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