Multiscale Modeling A Bayesian Perspective /
A wide variety of processes occur on multiple scales, either naturally or as a consequence of measurement. This book contains methodology for the analysis of data that arise from such multiscale processes. The book brings together a number of recent developments and makes them accessible to a wider...
Main Authors: | Ferreira, Marco A. R. (Author), Lee, Herbert K. H. (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
New York, NY :
Springer New York,
2007.
|
Series: | Springer Series in Statistics,
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Simulation and Inference for Stochastic Differential Equations With R Examples /
by: Iacus, Stefano M.
Published: (2008) -
Probability for Statistics and Machine Learning Fundamentals and Advanced Topics /
by: DasGupta, Anirban
Published: (2011) -
Statistical Image Processing and Multidimensional Modeling
by: Fieguth, Paul
Published: (2011) -
Introduction to Nonparametric Estimation
by: Tsybakov, Alexandre B.
Published: (2009) -
Multivariate Nonparametric Methods with R An approach based on spatial signs and ranks /
by: Oja, Hannu
Published: (2010)