A nonparametric Bayesian model for estimating spectral densities of resting‐state EEG twin data-Reference-Cited by-同舟云学术

A nonparametric Bayesian model for estimating spectral densities of resting‐state EEG twin data

Published:2020-10-26 Issue: Volume: Page:
ISSN:0006-341X
Container-title:Biometrics
language:en
Short-container-title:Biometrics

Author:

Hart Brian¹^ORCID,Guindani Michele²^ORCID,Malone Stephen³,Fiecas Mark¹

Affiliation:

1. Division of Biostatistics University of Minnesota Minneapolis Minnesota USA

2. Department of Statistics University of California Irvine Irvine California USA

3. Department of Psychology University of Minnesota Minneapolis Minnesota USA

Funder

University of Minnesota

National Science Foundation

Publisher

Wiley

Subject

Applied Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/biom.13393

Reference35 articles.

1. Fully Nonparametric Regression for Bounded Data Using Dependent Bernstein Polynomials

2. The Analysis of Time Series Collected in an Experimental Design11This paper was prepared with the support of the NSF grant GP-31411.

3. Conditional adaptive Bayesian spectral analysis of nonstationary biomedical time series

4. Bayesian Spectral Modeling for Multiple Time Series

5. Latent Nested Nonparametric Priors (with Discussion)

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