Scalable Bayesian Spatial Analysis with Gaussian Markov Random Fields.
Saved in:
| Superior document: | Linköping Studies in Arts and Sciences Series ; v.790 |
|---|---|
| : | |
| Place / Publishing House: | Linköping : : Linkopings Universitet,, 2020. {copy}2020. |
| Year of Publication: | 2020 |
| Edition: | 1st ed. |
| Language: | English |
| Series: | Linköping Studies in Arts and Sciences Series
|
| Online Access: | |
| Physical Description: | 1 online resource (66 pages) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Intro
- POPULÄRVETENSKAPLIG SAMMANFATTNING
- ABSTRACT
- Acknowledgments
- Contents
- List of Figures
- 1 Introduction
- 2 Bayesian analysis of spatial data
- 3 Inference methods
- 4 Functional magnetic resonance imaging
- 5 Concluding remarks
- Bibliography
- Papers.