منابع مشابه
Adaptive kernel density estimation
This insert describes the module akdensity. akdensity extends the official kdensity that estimates density functions by the kernel method. The extensions are of two types: akdensity allows the use of an “adaptive kernel” approach with varying, rather than fixed, bandwidths; and akdensity estimates pointwise variability bands around the estimated density functions.
متن کاملCAKE: Convex Adaptive Kernel Density Estimation
In this paper we present a generalization of kernel density estimation called Convex Adaptive Kernel Density Estimation (CAKE) that replaces single bandwidth selection by a convex aggregation of kernels at all scales, where the convex aggregation is allowed to vary from one training point to another, treating the fundamental problem of heterogeneous smoothness in a novel way. Learning the CAKE ...
متن کاملAdaptive bandwidth kernel density estimation for next-generation sequencing data
BACKGROUND High-throughput sequencing experiments can be viewed as measuring some sort of a "genomic signal" that may represent a biological event such as the binding of a transcription factor to the genome, locations of chromatin modifications, or even a background or control condition. Numerous algorithms have been developed to extract different kinds of information from such data. However, t...
متن کاملBayesian adaptive bandwidth kernel density estimation of irregular multivariate distributions
Kernel density estimation is an important technique for understanding the distributional properties of data. Some investigations have found that the estimation of a global bandwidth can be heavily affected by observations in the tail. We propose to categorize data into lowand high-density regions, to which we assign two different bandwidths called the low-density adaptive bandwidths. We derive ...
متن کاملKernel density estimation with adaptive varying window size
A new method of kernel density estimation with a varying adaptive window size is proposed. It is based on the socalled intersection of confidence intervals (ICI) rule. Several examples of the proposed method are given for different types of densities and the quality of the adaptive density estimate is assessed by means of numerical simulations. 2002 Elsevier Science B.V. All rights reserved.
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ژورنال
عنوان ژورنال: The Stata Journal: Promoting communications on statistics and Stata
سال: 2003
ISSN: 1536-867X,1536-8734
DOI: 10.1177/1536867x0300300204