Book contents
- Frontmatter
- Contents
- Preface
- 1 Prologue: how to produce forecasts
- Part I Quantifying Uncertainty
- Part II Bayesian Data Assimilation
- 6 Basic data assimilation algorithms
- 7 McKean approach to data assimilation
- 8 Data assimilation for spatio-temporal processes
- 9 Dealing with imperfect models
- A postscript
- References
- Index
7 - McKean approach to data assimilation
from Part II - Bayesian Data Assimilation
Published online by Cambridge University Press: 05 May 2015
Book contents
- Frontmatter
- Contents
- Preface
- 1 Prologue: how to produce forecasts
- Part I Quantifying Uncertainty
- Part II Bayesian Data Assimilation
- 6 Basic data assimilation algorithms
- 7 McKean approach to data assimilation
- 8 Data assimilation for spatio-temporal processes
- 9 Dealing with imperfect models
- A postscript
- References
- Index
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- Probabilistic Forecasting and Bayesian Data Assimilation , pp. 200 - 228Publisher: Cambridge University PressPrint publication year: 2015