Abstract
Working with nonstationary and heterogeneous random fields presents an interesting challenge. In principle, the modelling methods of Chapter 5 do allow us to construct a nonstationary model, under the assumption that the model boundaries are known.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer New York
About this chapter
Cite this chapter
Fieguth, P. (2011). Hidden Markov Models. In: Statistical Image Processing and Multidimensional Modeling. Information Science and Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7294-1_7
Download citation
DOI: https://doi.org/10.1007/978-1-4419-7294-1_7
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-7293-4
Online ISBN: 978-1-4419-7294-1
eBook Packages: Computer ScienceComputer Science (R0)