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Regular Probability Models

  • Victor M. Panaretos
Chapter
  • 3.7k Downloads
Part of the Compact Textbooks in Mathematics book series (CTM)

Abstract

Surveys the different types of probability models for which statistical methods will be later constructed. It describes what situations they are suitable for, and derives some of their key properties, including their behaviour under transformation. It also introduces the exponential family of distributions as a unifying framework for later results to be stated in more generality. The last part of the chapter considers the problem of choosing a particular type of model, whether by first principles or by means of exploratory data analysis, using numerical and graphical summaries.

Keywords

Continuous Probability Models Exponential Family Graphical Summary Exploratory Data Analysis Numerical Summary 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Victor M. Panaretos
    • 1
  1. 1.Institute of MathematicsEPFLLausanneSwitzerland

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