Multivariate Exponential Families: A Concise Guide to Statistical Inference

£54.99

Multivariate Exponential Families: A Concise Guide to Statistical Inference

Probability and statistics Maths for computer scientists

Authors: Stefan Bedbur, Udo Kamps

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Collection: SpringerBriefs in Statistics

Language: English

Published by: Springer

Published on: 7th October 2021

Format: LCP-protected ePub

Size: 8 Mb

ISBN: 9783030819002


Introduction to Exponential Families

This book provides a concise introduction to exponential families. Parametric families of probability distributions and their properties are extensively studied in the literature on statistical modeling and inference. Exponential families of distributions comprise density functions of a particular form, which enables general assertions and leads to nice features. With a focus on parameter estimation and hypotheses testing, the text introduces the reader to distributional and statistical properties of multivariate and multiparameter exponential families along with a variety of detailed examples. The material is widely self-contained and written in a mathematical setting. It may serve both as a concise, mathematically rigorous course on exponential families in a systematic structure and as an introduction to Mathematical Statistics restricted to the use of exponential families.

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