Nonparametric dynamic modeling

Nonparametric Modeling of Dynamic Functional Connectivity in fMRI Data

Dynamic functional connectivity (FC) has in recent years become a topic of interest in the neuroimaging community. Several models and methods exist for both functional magnetic resonance imaging (fMRI) and electroencephalography (EEG), and the results point towards the conclusion that FC exhibits dynamic changes. The existing approaches modeling dynamic connectivity have primarily been based on...

Prospects of Nonparametric Modeling

Semi-Nonparametric Modeling and Estimation∗

In this paper it will show how unknown density and distribution functions can be modeled semi-nonparametrically via orthonormal series expansions, and how to estimate semi-nonparametric (SNP) models via a sieve estimation approach. As an application I will focus on the mixed proportional hazard (MPH) model with fixed right censoring and unspecified mixing distribution and baseline hazard. I wil...

Nonparametric Estimation of Dynamic Panel Models

This paper investigates stationary β-mixing dynamics in nonlinear panel models and develops nonparametric estimation of dynamic panel models using series approximations. We extend the standard linear dynamic panel model to a nonparametric form that maintains additive fixed effects. Convergence rates and the asymptotic distribution of the series estimator are derived, in which an asymptotic bias...

Nonparametric K-Sample Tests via Dynamic Slicing

ISSN: 0162-1459 (Print) 1537-274X (Online) Journal homepage: http://www.tandfonline.com/loi/uasa20 Nonparametric K-Sample Tests via Dynamic Slicing Bo Jiang, Chao Ye & Jun S. Liu To cite this article: Bo Jiang, Chao Ye & Jun S. Liu (2015) Nonparametric K-Sample Tests via Dynamic Slicing, Journal of the American Statistical Association, 110:510, 642-653, DOI: 10.1080/01621459.2014.920257 To link...