Information and Complexity in Statistical Modeling
No statistical model is "true" or "false," "right" or "wrong"; the models just have varying performance, which can be assessed. The main theme in this book is to teach modeling based on the principle that the objective is to extract the information from data t...
Main Author: | Rissanen, Jorma. (Author, http://id.loc.gov/vocabulary/relators/aut) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Language: | English |
Published: |
New York, NY :
Springer New York : Imprint: Springer,
2007.
|
Edition: | 1st ed. 2007. |
Series: | Information Science and Statistics,
|
Subjects: | |
Online Access: | https://doi.org/10.1007/978-0-387-68812-1 |
Similar Items
-
Asymptotic Theory of Statistics and Probability by Anirban DasGupta.
by: DasGupta, Anirban., et al.
Published: (2008) -
Discrete Multivariate Analysis Theory and Practice / by Yvonne M. Bishop, Stephen E. Fienberg, Paul W. Holland.
by: Bishop, Yvonne M., et al.
Published: (2007) -
Correlated Data Analysis: Modeling, Analytics, and Applications by Peter X. -K. Song.
by: Song, Peter X. -K., et al.
Published: (2007) -
Introduction to Empirical Processes and Semiparametric Inference by Michael R. Kosorok.
by: Kosorok, Michael R., et al.
Published: (2008) -
Analysis of Variations for Self-similar Processes A Stochastic Calculus Approach / by Ciprian Tudor.
by: Tudor, Ciprian., et al.
Published: (2013)