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Data Analysis framework in Brain Imaging STAT 992: Image Analysis March 23, 2004 Moo K. Chung

Data Analysis framework in Brain Imaging STAT 992: Image Analysis March 23, 2004 Moo K. Chung

Data Analysis framework in Brain Imaging STAT 992: Image Analysis March 23, 2004 Moo K. Chung Department of Statistics Department of Biostatistics and Medical Informatics W.M. Keck Brain Laboratory University of Wisconsin-Madison http://www.stat.wisc.edu/~mchung. Acknowledgement:

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931 views • 74 slides
Identifying Boundary of Different Classes of Objects

Identifying Boundary of Different Classes of Objects

Data Classification with the Radial Basis Function Network Based on a Novel Kernel Density Estimation Algorithm Yen-Jen Oyang Department of Computer Science and Information Engineering National Taiwan University. Identifying Boundary of Different Classes of Objects. Boundary Identified.

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852 views • 71 slides
Nonparametric Inference of Hemodynamic Response for fMRI data

Nonparametric Inference of Hemodynamic Response for fMRI data

Nonparametric Inference of Hemodynamic Response for fMRI data. Tingting Zhang University of Virginia. Joint work with Fan Li Data from Duke Department of Psychology Lab of Ahmad Hariri. Real Problem. Data fMRI data under a specific experimental design

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504 views • 38 slides
Introduction to Non Parametric Statistics Kernel Density Estimation

Introduction to Non Parametric Statistics Kernel Density Estimation

Introduction to Non Parametric Statistics Kernel Density Estimation. Nonparametric Statistics. Fewer restrictive assumptions about data and underlying probability distributions. Population distributions may be skewed and multi-modal. Kernel Density Estimation (KDE).

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248 views • 11 slides

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