- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1471-2202
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Histogram binwidth and kernel bandwidth selection for the spike-rate estimation ; volume:10 ; number:1 ; day:13 ; month:7 ; year:2009 ; pages:1 ; date:9.2009
BMC neuroscience ; 10, Heft 1 (13.7.2009), 1, 9.2009
- Creator
-
Shimazaki, Hideaki
- Contributor
-
Shinomoto, Shigeru
SpringerLink (Online service)
- DOI
-
10.1186/1471-2202-10-S1-P116
- URN
-
urn:nbn:de:1111-201603212277
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:58 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Shimazaki, Hideaki
- Shinomoto, Shigeru
- SpringerLink (Online service)
Other Objects (12)
Bandwidth Selection in Nonparametric Kernel Estimation
Local bandwidth selection in nonparametric kernel regression
Optimal bandwidth selection for recursive Gumbel kernel density estimators
Plug-in bandwidth selection for kernel density estimation with discrete data
A Review and Comparison of Bandwidth Selection Methods for Kernel Regression
An adaptive method for bandwidth selection in circular kernel density estimation
Infill Asymptotics and Bandwidth Selection for Kernel Estimators of Spatial Intensity Functions
Kernel spikes of singular problems
Kernel spikes of singular problems
A rule-of-thumb for the variable bandwidth selection in kernel hazard rate estimation
New bandwidth selection criterion for Kernel PCA: Approach to dimensionality reduction and classification problems
A Rule-of-Thumb for the Variable Bandwidth Selection in Kernel Hazard Rate Estimation
Bandwidth Selection in Nonparametric Kernel Estimation
Local bandwidth selection in nonparametric kernel regression
Optimal bandwidth selection for recursive Gumbel kernel density estimators
Plug-in bandwidth selection for kernel density estimation with discrete data
A Review and Comparison of Bandwidth Selection Methods for Kernel Regression
An adaptive method for bandwidth selection in circular kernel density estimation
Infill Asymptotics and Bandwidth Selection for Kernel Estimators of Spatial Intensity Functions
Kernel spikes of singular problems
Kernel spikes of singular problems
A rule-of-thumb for the variable bandwidth selection in kernel hazard rate estimation
New bandwidth selection criterion for Kernel PCA: Approach to dimensionality reduction and classification problems
A Rule-of-Thumb for the Variable Bandwidth Selection in Kernel Hazard Rate Estimation
Bandwidth Selection in Nonparametric Kernel Estimation
Local bandwidth selection in nonparametric kernel regression
Optimal bandwidth selection for recursive Gumbel kernel density estimators
Plug-in bandwidth selection for kernel density estimation with discrete data
A Review and Comparison of Bandwidth Selection Methods for Kernel Regression
An adaptive method for bandwidth selection in circular kernel density estimation
Infill Asymptotics and Bandwidth Selection for Kernel Estimators of Spatial Intensity Functions
Kernel spikes of singular problems
Kernel spikes of singular problems
A rule-of-thumb for the variable bandwidth selection in kernel hazard rate estimation
New bandwidth selection criterion for Kernel PCA: Approach to dimensionality reduction and classification problems