Advanced Data Analysis in Neuroscience Integrating Statistical and Computational Models
This book is intended for use in advanced graduate courses in statistics / machine learning, as well as for all experimental neuroscientists seeking to understand statistical methods at a deeper level, and theoretical neuroscientists with a limited background in statistics. It reviews almost all are...
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| Format: | eBook |
| Language: | English |
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Cham
Springer International Publishing
2017, 2017
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| Edition: | 1st ed. 2017 |
| Series: | Bernstein Series in Computational Neuroscience
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Statistical Inference
- Regression Problems
- Classification Problems
- Model Complexity and Selection
- Clustering and Density Estimation
- Dimensionality Reduction
- Linear Time Series Analysis
- Nonlinear Concepts in Time Series Analysis
- Time Series From a Nonlinear Dynamical Systems Perspective