Results 71 to 80 of about 23,658 (304)
Probability density estimation using data projection
Lietuvos Matematikos Rinkinys, 2009 Nonparametric estimation of multivariate multimodal probability density is analysed. The projection pursuit density estimator was proposed by J.H. Friedman.
Mindaugas Kavaliauskas
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Compact Tabletop Magnetic Resonance Elastography for Mapping Soft Tissue Viscoelasticity
Advanced Science, EarlyView.This work introduces a compact, low‐cost tabletop magnetic resonance elastography platform for high‐resolution viscoelastic mapping in soft‐tissue specimens. Using this method in human colorectal liver metastases, we demonstrate fully automated biomechanical profiling of treatment response and show that heterogeneity‐based metrics outperform ...
Weijie Zhao +19 more
wiley +1 more source
The benchden Package: Benchmark Densities for Nonparametric Density Estimation
Journal of Statistical Software, 2012 This article describes the benchden package which implements a set of 28 example densities for nonparametric density estimation in R. In addition to the usual functions that evaluate the density, distribution and quantile functions or generate random ...
Thoralf Mildenberger, Henrike Weinert
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Nonparametric Bayesian inference for multidimensional compound Poisson processes
Modern Stochastics: Theory and Applications, 2015 Given a sample from a discretely observed multidimensional compound Poisson process, we study the problem of nonparametric estimation of its jump size density $r_{0}$ and intensity $\lambda _{0}$.
Shota Gugushvili +2 more
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On a Class of Nonparametric Density and Regression Estimators
The Annals of Statistics, 1984 A class of maximum penalized likelihood estimators (MPLE) of the density function f is constructed, through the use of a rather general roughness- penalty functional. This class contains all the density estimates in the literature that arise as solutions to MPLE problems with penalties on \(f^{1/2}.\) In addition, the flexibility of the penalty ...
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Nonparametric density estimation for spatial data with wavelets [PDF]
Journal of Multivariate Analysis, 2018 Nonparametric density estimators are studied for $d$-dimensional, strongly spatial mixing data which is defined on a general $N$-dimensional lattice structure. We consider linear and nonlinear hard thresholded wavelet estimators which are derived from a $d$-dimensional multiresolution analysis.
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Nonparametric confidence bands in deconvolution density estimation [PDF]
Uniform confidence bands for densities f via nonparametric kernel estimates were first constructed by Bickel and Rosenblatt [Ann. Statist. 1, 1071.1095].
Bissantz, Nicolai +3 more
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Advanced Science, EarlyView.Low‐level ambient benzene exposure is associated with increased risks of multiple brain disorders in urban adults. Genetic susceptibility modifies these associations, while plasma proteomics points to potential biological pathways linking benzene exposure to adverse brain health.
Jianhui Guo +10 more
wiley +1 more source
Multivariate Density Estimation and Visualization [PDF]
This chapter examines the use of flexible methods to approximate an unknown density function, and techniques appropriate for visualization of densities in up to four dimensions. The statistical analysis of data is a multilayered endeavor.
Scott, David W.
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Nonparametric estimation of the jump component in financial time series [PDF]
, 2012 In this thesis, we analyze nonparametric estimation of Lévy-based models using wavelets methods. As the considered class is restricted to pure-jump Lévy processes, it is sufficient to estimate their Lévy densities.
Yener, Serkan
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