Part I Foundations: An Overview of Bayesian Inference and Graphical Models.- Monte Carlo Methods for Inferences in High-dimensional Systems.- Part II Energy Functions for Protein Structure Prediction: On the Physical Relevance and Statistical Interpretation of Knowledge based Potentials.- Statistical Machine Learning of Protein Energetics from Experimentally Observed Structures.- A Statistical View on the Reference Ratio Method.- Part III Directional Statistics and Shape Theory: Statistical Modelling and Simulation Using the Fisher-Bingham Distribution.- Statistics of Bivariate von Mises Distributions.- Bayesian Hierarchical Alignment Methods.- Likelihood and Empirical Bayes Superpositions of Multiple Macromolecular Structures.- Part IV Graphical models for structure prediction: Probabilistic Models of Local Biomolecular Structure and their Application in Structural Simulation.- Prediction of Low Energy Protein Side Chain Configurations Using Markov Random Fields.- Part V Inferring Structure from Experimental Data.- Inferential Structure Determination from NMR Data.- Bayesian Methods in SAXS and SANS Structure Determination.
Thomas Hamelryck is an associate professor at the
Bioinformatics Center, University of Copenhagen. He completed
his PhD in macromolecular crystallography at the Free University of
Brussels (VUB). His research interests include the application of
Bayesian machine learning methods and directional statistics to the
inference of protein and RNA structure, based on sequence
information or experimental data.
Kanti Mardia (Senior Research Professor, University of
Leeds) is a pioneering researcher and leader in modern statistical
science, and is responsible for numerous groundbreaking
developments; his monographs are highly acclaimed and he has played
a lasting leadership role in interdisciplinary research. His most
outstanding contributions lie in directional data analysis, shape
analysis, spatial statistics, multivariate analysis, and protein
bioinformatics.
Jesper Ferkinghoff-Borg is an associate professor at the
section for Biomedical Engineering, DTU-Electro, Technical
University of Denmark (DTU), Copenhagen, where he heads the
computational biophysics group. He received his PhD in theoretical
physics from the Niels Bohr Institute at the University
of Copenhagen.
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