Statistics and Its Interface

Volume 3 (2010)

Number 1

Contents

From the Editors

pp. 1-1

Adaptive spatial smoothing of fMRI images

Martin A. Lindquist, Ji Meng Loh, and Yu (Ryan) Yue

pp. 3-13

Regularized estimation of hemodynamic response function for fMRI data

Chunming Zhang and Zhengjun Zhang

pp. 15-31

Adaptive statistical parametric mapping for fMRI

Ping Bai, Jianhua Z. Huang, Haipeng Shen, and Young K. Truong

pp. 33-43

Evaluating functional autocorrelation within spatially distributed neural processing networks

F. Dubois Bowman, Gordana Derado, Timothy D. Ely, and Clinton D. Kilts

pp. 45-57

Nonparametric evaluation of heterogeneity of brain regions in neuroreceptor mapping applications

Huiping Jiang and R. Todd Ogden

pp. 59-67

Cosine series representation of 3D curves and its application to white matter fiber bundles in diffusion tensor imaging

Nagesh Adluru, Andrew L. Alexander, Moo K. Chung, Janet E. Lainhart, Mariana Lazar, and Jee Eun Lee

pp. 69-80

Approximating the Geisser-Greenhouse sphericity estimator and its applications to diffusion tensor imaging

Meagan E. Clement-Spychala, David Couper, Keith E. Muller, and Hongtu Zhu

pp. 81-90

Using scientifically and statistically sufficient statistics in comparing image segmentations

Yueh-Yun Chi and Keith E. Muller

pp. 91-101

A weighted cluster kernel PCA prediction model for multi-subject brain imaging data

Ying Guo

pp. 103-111

Covariate-adjusted nonparametric analysis of magnetic resonance images using Markov chain Monte Carlo

Susan Spear Bassett, Brian Caffo, Haley Hedlin, and Ziyad Mahfoud

pp. 113-123