Models For Data Analysis

<P>The First Detailed Account of Statistical Analysis That Treats Models as Approximations</P><P></P><P>The idea of truth plays a role in both Bayesian and frequentist statistics. The Bayesian concept of coherence is based...

A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including imaging, communication, and face recognition, with online code, it is ideal for senior/graduate students...

We are in an age of big data where all of our everyday interactions and transactions generate data. Much of this data is spatial – it is collected some-<em>where</em> – and identifying analytical insight from trends and patterns...

Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.This text is intended...