<p><P>The Minimum Message Length (MML) Principle is an information-theoretic approach to induction, hypothesis testing, model selection, and statistical inference. MML, which provides a formal specification for the implementation of Occam's Razor, asserts that the βbestβ explanation of observed data
Statistical and Inductive Inference by Minimum Message Length
β Scribed by C.S. Wallace
- Publisher
- Springer
- Year
- 2005
- Tongue
- English
- Leaves
- 222
- Series
- Information science and statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Statistical and Inductive Inference by Minimum Message Length will be of special interest to graduate students and researchers in Machine Learning and Data Mining, scientists and analysts in various disciplines wishing to make use of computer techniques for hypothesis discovery, statisticians and econometricians interested in the underlying theory of their discipline, and persons interested in the Philosophy of Science. The book could also be used in a graduate-level course in Machine Learning, Estimation and Model-selection, Econometrics, and Data Mining.
π SIMILAR VOLUMES
This text gathers the lecture notes of the Les Houches Summer School that was held in October 2013 for an audience of advanced graduate students and post-doctoral fellows in statistical physics, theoretical physics, machine learning, and computer science.</div> <br> Abstract: This text g