Boeken van Peter Müller

Nils Lid Hjort Chris Holmes Peter Müller Stephen Walker
Bayesian Nonparametrics
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The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. Meer
Peter Müller
Programming Languages and Systems
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Robert Adler Peter Müller B.L. Rozovskii
Stochastic Modelling in Physical Oceanography
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The study of the ocean is almost as old as the history of mankind itself. When the first seafarers set out in their primitive ships they had to understand, as best they could, tides and currents, eddies and vortices, for lack of understanding often led to loss of live. Meer
Kim-Anh Do Peter Müller Marina Vannucci
Bayesian Inference for Gene Expression and Proteomics
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The interdisciplinary nature of bioinformatics presents a research challenge in integrating concepts, methods, software and multiplatform data. Although there have been rapid developments in new technology and an inundation of statistical methods for addressing other types of high-throughput data, such as proteomic profiles that arise from mass spectrometry experiments. Meer
M. Antónia Amaral Turkman M. Antonia (Universidade de Lisboa) Amaral Turkman Carlos Daniel Paulino Carlos Daniel (Universidade de Lisboa) Paulino Peter Müller Peter (University of Texas, Austin) Muller
Computational Bayesian Statistics
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Meaningful use of advanced Bayesian methods requires a good understanding of the fundamentals. This engaging book explains the ideas that underpin the construction and analysis of Bayesian models, with particular focus on computational methods and schemes. Meer

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