Analysis of spike train data: a multivariate mixed effects model for phase and amplitude

DOI10.1214/14-EJS865EzbMath1305.62329MaRDI QIDQ470457

Pantelis Z. Hadjipantelis, John Moriarty, John A. D. Aston, Hans-Georg Müller

Publication date: 12 November 2014

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1414588165

zbMATH Keywords

funcional mixed effects regressionmultivariate mixed modelpairwise warping

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Inference from stochastic processes and spectral analysis (62M15)

Related Items

Analysis of spike train data: discussion of results, Functional regression models: Some directions of future research, Functional data analysis of amplitude and phase variation, Nonlinear mixed effects modeling and warping for functional data using B-splines

Uses Software

• fda (R)

Cites Work

• Introduction to neural spike train data for phase-amplitude analysis
• Functional density synchronization
• Functional data analysis
• Combining Registration and Fitting for Functional Models
• Pairwise curve synchronization for functional data
• Statistical Modeling of Curves Using Shapes and Related Features