Equations of some of the models used.

NIAID Data Ecosystem2026-03-07 收录

密度估计

一维分解

数据链接：

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资源简介：

Equations of various standard methods converted to density estimations based on 1d-decompositions.

创建时间：

2012-10-01

Partition Weighted Approach for Estimating the Marginal Posterior Density with Applications

贝叶斯分析

密度估计

The computation of marginal posterior density in Bayesian analysis is essential in that it can provide complete information about parameters of interest. Furthermore, the marginal posterior density ca

tandf.figshare.com2023-05-31 更新110

Covariate Information Matrix for Sufficient Dimension Reduction

充分降维

密度估计

Building upon recent research on the applications of the density information matrix, we develop a tool for sufficient dimension reduction (SDR) in regression problems called covariate information matr

DataCite Commons2022-02-10 更新80

From data to probability densities without histograms

密度估计

数据分析

Abstract When one deals with data drawn from continuous variables, a histogram is often inadequate to display their probability density. It deals inefficiently with statistical noise, and binsizes a

Mendeley Data2023-02-23 更新60

Density Deconvolution with Additive Measurement Errors using Quadratic Programming (revision)

密度估计

二次规划

Distribution estimation for noisy data via density deconvolution is a notoriously difficult problem, especially for typical noise distributions like Gaussian. We develop a density deconvolution estima

DataCite Commons2020-08-26 更新90

Local-Likelihood Transformation Kernel Density Estimation for Positive Random Variables

密度估计

统计变换

The kernel estimator is known not to be adequate for estimating the density of a positive random variable X . The main reason is the well-known boundary bias problems that it suffers from, but a

DataCite Commons2020-08-31 更新60

Equations of some of the models used.

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