Peter Müller
- Auteur
Boeken van Peter Müller
Nils Lid Hjort
Chris Holmes
Peter Müller
Stephen Walker
Bayesian Nonparametrics
The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable.
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Kim-Anh Do
Peter Müller
Marina Vannucci
Bayesian Inference for Gene Expression and Proteomics
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.
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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
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.
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Robert Adler
Peter Müller
B.L. Rozovskii
Stochastic Modelling in Physical Oceanography
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.
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Peter Müller
Brani Vidakovic
Bayesian Inference in Wavelet-Based Models
This volume presents an overview of Bayesian methods for inference in the wavelet domain. The papers in this volume are divided into six parts: The first two papers introduce basic concepts.
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