Spatial statistics and computational methods
Spatial statistics and Markov Chain Monte Carlo (MCMC) techniques have each undergone major developments in the last decade. Also, these two areas are mutually reinforcing, because MCMC methods are often necessary for the practical implementation of spatial statistical inference, while new spatial s...
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| Format: | eBook |
| Language: | English |
| Published: |
New York :
Springer,
2003
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| Series: | Lecture notes in statistics series
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| Genre/form: | kolektivní monografie elektronické knihy |
| ISBN: | 978-0-387-21811-3 978-0-387-00136-4 |
| Subjects: | |
| Online Access: | Plný text |
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| Summary: | Spatial statistics and Markov Chain Monte Carlo (MCMC) techniques have each undergone major developments in the last decade. Also, these two areas are mutually reinforcing, because MCMC methods are often necessary for the practical implementation of spatial statistical inference, while new spatial stochastic models in turn motivate the development of improved MCMC algorithms. This volume shows how sophisticated spatial statistical and computational methods apply to a range of problems of increasing importance for applications in science and technology. The volume introduces topics of current interest in spatial and computational statistics, which should be accessible to postgraduate students as well as to experienced statistical researchers. It is partly based on the course material for the "TMR and MaPhySto Summer School on Spatial Statistics and Computational Methods," held at Aalborg University, Denmark, August 19-22, 2001. -- Nakladatelská anotace |
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| Physical Description: | 1 online zdroj (xiv, 202 stran) : ilustrace |
| Bibliography: | Obsahuje bibliografie a rejstřík |