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- Publications
- Influence
ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R
- T. Duong
- Computer Science
- 16 October 2007
TLDR
Plug-in bandwidth matrices for bivariate kernel density estimation
- T. Duong, M. Hazelton
- Mathematics
- 1 January 2003
We consider bandwidth matrix selection for bivariate kernel density estimators. The majority of work in this area has been directed towards selection of diagonal bandwidth matrices, but full… Expand
Cross-validation bandwidth matrices for multivariate kernel density estimation
- T. Duong, M. Hazelton
- Mathematics
- 1 September 2005
The performance of multivariate kernel density estimates depends crucially on the choice of bandwidth matrix, but progress towards developing good bandwidth matrix selectors has been relatively slow.… Expand
ASYMPTOTICS FOR GENERAL MULTIVARIATE KERNEL DENSITY DERIVATIVE ESTIMATORS
We investigate kernel estimators of multivariate density derivative func- tions using general (or unconstrained) bandwidth matrix selectors. These density derivative estimators have been relatively… Expand
Multivariate plug-in bandwidth selection with unconstrained pilot bandwidth matrices
Multivariate kernel density estimation is an important technique in exploratory data analysis. Its utility relies on its ease of interpretation, especially by graphical means. The crucial factor… Expand
Feature significance for multivariate kernel density estimation
- T. Duong, Arianna Cowling, I. Koch, M. P. Wand
- Mathematics, Computer Science
- Comput. Stat. Data Anal.
- 1 May 2008
TLDR
Data-driven density derivative estimation, with applications to nonparametric clustering and bump hunting
Important information concerning a multivariate data set, such as clusters and modal regions, is contained in the derivatives of the probability density function. Despite this importance,… Expand
Multivariate Kernel Smoothing and Its Applications
Preface List of Figures List of Tables List of Algorithms Introduction Exploratory data analysis with density estimation Exploratory data analysis with density derivatives estimation… Expand
Convergence rates for unconstrained bandwidth matrix selectors in multivariate kernal density estimation
- T. Duong, M. Hazelton
- Mathematics
- 1 April 2005
Progress in selection of smoothing parameters for kernel density estimation has been much slower in the multivariate than univariate setting. Within the context of multivariate density estimation… Expand
Descriptive and experimental analysis of the dispersion of neural crest cells along the dorsolateral path and their entry into ectoderm in the chick embryo.
- C. Erickson, T. Duong, Kathryn W. Tosney
- Biology, Medicine
- Developmental biology
- 1 May 1992
We have characterized the dispersion of neural crest cells along the dorsolateral path in the trunk of the chicken embryo and experimentally investigated the control of neural crest cell entry into… Expand