Todd E. Hudson (New York University)

Bayesian Data Analysis for the Behavioral and Neural Sciences

Non-Calculus Fundamentals

• Broschiertes Buch

Produktbeschreibung

This textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It uses non-calculus-based mathematics with examples specific to behavioral and neural sciences. Perfect for statistics courses, it shows students how to write code for their own data analyses, even those involving individual differences.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 612
• Erscheinungstermin: 24. Juni 2021
• Englisch
• Abmessung: 253mm x 206mm x 35mm
• Gewicht: 1456g
• ISBN-13: 9781108812900
• ISBN-10: 1108812902
• Artikelnr.: 60206256

Autorenporträt

Todd E. Hudson is a professor of rehabilitation medicine at New York University's Grossman School of Medicine, holding cross-appointments in neurology, and also in the Department of Biomedical Engineering at the New York University Tandon School of Engineering. Dr Hudson has taught statistics, perception and sensory processes, experimental design, and/or advanced topics in neurobiology and behavior at several major universities, including Brandeis University and Columbia University. He co-founded, and serves as Chief Scientific Advisor to, Tactile Navigation Tools, LLC, which develops navigation aids for the visually impaired.

Inhaltsangabe

1. Logic and data analysis
2. Mechanics of probability calculations
3. Probability and information: from priors to posteriors
4. Prediction and decision
5. Models and measurements
6. Model selection: Appendix A. Coding basics
Appendix B. Mathematics review: logarithmic and exponential function
Appendix C. The Bayesian toolbox: marginalization and coordinate transformations.