Statistics and the LTCC. Participating Departments Imperial –16 staff, 30 PhD students –Bayes; classification; data mining; hierarchical glms; reliability.

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Presentation transcript:

Statistics and the LTCC

Participating Departments Imperial –16 staff, 30 PhD students –Bayes; classification; data mining; hierarchical glms; reliability & survival; signal processing; retail finance; biostatistics; genetics; genomics; bioinformatics; likelihood; bootstrap;. Kent –13 staff, 18 PhD students –biological, medical, ecological, spatial & shape statistics; financial econometrics; genetics; risk; queuing theory; epidemic modelling; nonparametric Bayes

Participating Departments (cont) LSE –16 staff, 27 PhD students –social statistics (latent variable, multilevel, marginal & conditional models); risk & stochastics (actuarial maths, (re)-insurance); time series (CATS, dynamical systems, climate change, non-linear time series); algebraic statistics; causal inference; SDE Queen Mary –8 staff, 8 PhD students –design and analysis of experiments; sequential analysis; sampling theory; Bayes

Participating Departments (cont) UCL –16 staff, 17 PhD students –Bayes; classification; nonparametrics; medical (imaging, longitudinal data, prognostic models); environmental (water, climate); epidemic modelling; genetics; signal processing; chemometrics; financial analysis of energy markets; computational statistics & machine learning

LTCC Courses Basic courses –Applied Bayesian Methods –Statistical Modelling and Estimation –Fundamental Theory of Statistical Inference –Stochastic Processes Advanced courses –a variety of more specialized topics Intensive courses –eg Causal Inference in May 2009