Analysis of Neural Data

Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of an...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kass, Robert E. (Autor), Eden, Uri T. (Autor), Brown, Emery N. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Springer Series in Statistics,
Temas:
Biometry.
Neurosciences.
Neuropsychology.
Statistics .
Biostatistics.
Neuroscience.
Statistical Theory and Methods.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Exploring Data
  • Probability and Random Variables
  • Random Vectors
  • Important Probability Distributions
  • Sequences of Random Variables
  • Estimation and Uncertainty
  • Estimation in Theory and Practice
  • Uncertainty and the Bootstrap
  • Statistical Significance
  • General Methods for Testing Hypotheses
  • Linear Regression
  • Analysis of Variance
  • Generalized Regression
  • Nonparametric Regression
  • Bayesian Methods
  • Multivariate Analysis
  • Time Series
  • Point Processes
  • Appendix: Mathematical Background
  • Example Index
  • Index
  • Bibliography.

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