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TIME SERIES MODELING OF NEUROSCIENCE DATA

机译:神经科学数据的时间序列建模

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摘要

This book is essential for every quantitative scientist who is interested in developing rigorous statistical models for analysing brain signals. It is written by an expert statistician who has made significant contributions to the area of time series and stochastic processes. The book covers areas that can be considered to be in an interface between statistics and neurosciences. His expertise on this subject and interest on the deep issues of statistical modelling of brain signals are clearly reflected in the character of this book. This book builds an important foundation for neurostatistics which is a rapidly emerging field within statistics that is devoted to developing novel concepts and methods critical to advancing our understanding of the brain and the mind.
机译:对于每位对开发用于分析脑信号的严格统计模型感兴趣的定量科学家而言,这本书都是必不可少的。它由一位专业的统计学家撰写,他对时间序列和随机过程领域做出了重大贡献。该书涵盖了可以认为是统计学和神经科学之间的接口的领域。本书的特色清楚地体现了他在该主题上的专业知识以及对脑信号统计建模深层问题的兴趣。本书为神经统计学建立了重要的基础,神经统计学是统计学中一个迅速兴起的领域,致力于发展对增进我们对大脑和大脑的理解至关重要的新颖概念和方法。

著录项

  • 来源
    《Journal of Time Series Analysis》 |2013年第6期|745-746|共2页
  • 作者

    Hernando Ombao;

  • 作者单位

    Department of Statistics, University of California, Irvine, CA 92618 USA;

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  • 原文格式 PDF
  • 正文语种 eng
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