Analysis of Neural Data
暫譯: 神經數據分析
Kass, Robert E., Eden, Uri T., Brown, Emery N.
- 出版商: Springer
- 出版日期: 2014-03-04
- 售價: $7,150
- 貴賓價: 9.5 折 $6,793
- 語言: 英文
- 頁數: 648
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1461496012
- ISBN-13: 9781461496014
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相關分類:
Data Science、Machine Learning、機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
引言.- 數據探索.- 機率與隨機變數.- 隨機向量.- 重要的機率分佈.- 隨機變數序列.- 估計與不確定性.- 理論與實踐中的估計.- 不確定性與自助法.- 統計顯著性.- 假設檢定的一般方法.- 線性回歸.- 方差分析.- 廣義回歸.- 非參數回歸.- 貝葉斯方法.- 多變量分析.- 時間序列.- 點過程.- 附錄：數學背景.- 範例索引.- 索引.- 參考文獻.
作者簡介
Robert E. (Rob) Kass is Professor in the Department of Statistics, the Machine Learning Department, and the Center for the Neural Basis of Cognition at Carnegie Mellon University. Since 2001 his research has been devoted to statistical methods in neuroscience. Together with Emery Brown he has organized the highly successful series of international meetings, Statistical Analysis of Neural Data (SAND).
Uri T. Eden is Associate Professor in the Department of Mathematics and Statistics at Boston University. He received his Ph.D. in the Harvard/MIT Medical Engineering and Medical Physics program in the Health Sciences and Technology Department. His research focuses on developing mathematical and statistical methods to analyze neural spiking activity, using methods related to model identi cation, statistical inference, signal processing, and stochastic estimation and control.
Emery N. Brown is Edward Hood Taplin Professor of Medical Engineering, Professor of Computational Neuroscience, and Associate Director of the Institute of Medical Engineering and Science at MIT; he is also the Warren M. Zapol Professor of Anaesthesia at Harvard Medical School and Massachusetts General Hospital. He is both a statistician and an anesthesiologist. Since 1998 his research has focused on neural information processing, and his experimental work characterizes the way anesthetic drugs act in the brain to create the state of general anesthesia.
作者簡介(中文翻譯)
羅伯特·E·（Rob）卡斯是卡內基梅隆大學統計學系、機器學習系以及神經認知基礎中心的教授。自2001年以來，他的研究專注於神經科學中的統計方法。他與艾默里·布朗共同組織了成功的國際會議系列——神經數據的統計分析（Statistical Analysis of Neural Data, SAND）。
烏里·T·伊登是波士頓大學數學與統計系的副教授。他在哈佛/麻省理工學院醫療工程與醫療物理計畫的健康科學與技術系獲得博士學位。他的研究專注於開發數學和統計方法來分析神經脈衝活動，使用與模型識別、統計推斷、信號處理以及隨機估計和控制相關的方法。
艾默里·N·布朗是麻省理工學院醫療工程的愛德華·胡德·塔普林教授、計算神經科學教授，以及醫療工程與科學研究所的副主任；他同時也是哈佛醫學院和麻省總醫院的沃倫·M·扎波爾麻醉學教授。他既是統計學家也是麻醉醫生。自1998年以來，他的研究專注於神經信息處理，他的實驗工作描述了麻醉藥物在大腦中作用的方式，以創造全身麻醉的狀態。
