KTH Mathematics 
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| KTH Mathematics |
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 Tatjana Pavlenko Associate professor of mathematical statistics Royal Institute of Technology (KTH) Research My research interests lie in the area of probability and statistical inference in high and infinite dimensions, Bayesian graph structure learning, high-dimensional problems in supervised learning, detection and feature selection in sparse mixture models, with applications to large-scale biomedical data. For a list of publications, click the link above. My PhD students: Felix Leopoldo Rios, 2012-2017. Bayesian inference in probabilistic graphical models. Currently working at the Department of Materials Science and Engineering, KTH. Annika Tillander, 2009-2013. Classification models for high-dimensional data with sparsity patterns. Currently working as a senior lecturer at the Department of Computer and Information Science, Division of Statistics and Machine Learning, Linköping University. Teaching SF2930 Regression Analysis SF2935 Modern Methods of Statistical Learning SF1901 Probability and Statistics for Vehicle Engineering and Mechanical Engineering Programmes SF1901 Probability and Statistics for Medical Engineering and Technical Physics Programmes SF3961 Graduate course in Statistical Inference SF1905 Probability and Statistics for Engineering and Education Programme
Address: Department of Mathematics Royal Institute of Technology SE-100 44 Stockholm Sweden Email: pavlenko@math.kth.se Phone: +46-8-790 84 66 Office: 3628 |
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| Published by: Tatjana Pavlenko Updated: 05/01-2020 |