Found 4 relevant results in 1.11s where lecturer="Andrew Barbour"
Bioinformatics: in-depth
Bioinformatik: Vertiefung
Study of mathematical methods and algorithms in bioinformatics: Topics: Probability and statistics (prerequisites, statistical estimation, Markov chains, evolutionary models, sequence alignment), Hidden Markov models (Viterbi algorithm), Bayesian networks (principles, network inference), sequence alignment and phylogenetic trees (evolutionary relations, multiple sequence alignment, tree building).
Seminar on Statistics: Bayesian Statistics
Seminar über Statistik: Bayesian Statistics
The seminar discusses the Bayesian paradigm where also the unknown parameters are considered as random variables. Topics include prior, posterior and likelihood, differences to frequentist statistics, empirical Bayes procedures, nonparametric Bayesian methods, asymptotic properties of the posterior, model selection and computational methods.
Seminar on Statistics: Inverse Problems in Statistics
Seminar über Statistik: Inverse Problems in Statistics
Examples of inverse problems are Wicksell's problem,censoring, deconvolution and the indirect regression model.We study minimax lower bounds, plug-in and(nonparametric) maximum likelihood estimators, andalgorithms for computing the maximum likelihood estimator,such as the EM algorithm. Also the asymptotic propertiesof the estimators are examined.