Gordana Todorov, Northeastern University (Boston, Stati Uniti)
Cluster categories and their relation to cluster algebras and semi-invariants
Mercoledì 26 Settembre 2007, ore 17:00
Dipartimento di Matematica - Università degli Studi - Via Saldini 50 - Milano - Sala di Rappresentanza | |
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Marc Levine, Northeastern University (Boston, Stati Uniti)
Motivic homotopy theory
Lunedì 18 Giugno 2007, ore 17:00
Dipartimento di Matematica - Università degli Studi - Via Saldini 50 - Milano - Sala di Rappresentanza | |
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Sverre O. Smalø, Norwegian University of Science and Technology (Trondheim, Norvegia)
Degenerations and other orderings on the space of d-dimensional representations of associative algebras
Lunedì 04 Giugno 2007, ore 17:00
Dipartimento di Matematica - Università degli Studi - Via Saldini 50 - Milano - Sala di Rappresentanza | |
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Timothy J. Sluckin, University of Southampton (Gran Bretagna)
The mathematical legacy of Vito Volterra
Martedì 22 Maggio 2007, ore 17:00
Dipartimento di Matematica - Politecnico di Milano - Via Bonardi 9 - Milano - Aula Seminari VI piano | |
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Erik Weyer, University of Melbourne (Australia)
Non-asymptotic confidence regions for the parameters of dynamical systems
Martedì 22 Maggio 2007, ore 14:30
Dipartimento di Matematica - Politecnico di Milano - Via Bonardi 9 - Milano - Aula Seminari MOX (VI piano) |
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Abstract
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In this seminar we consider the problem of constructing confidence regions for the model parameters of dynamical systems from observed data. Taking a major departure from previous methods, we introduce a new approach called Leave-out Sign-dominant Correlation Regions (LSCR) which delivers confidence regions with guaranteed probability. Based on subsampling techniques, we derive the exact probability that the true parameters belong to certain regions in the parameter space. By intersecting these regions, a confidence set containing the true parameters with guaranteed probability is obtained. All results hold true for any finite number of data point. Moreover, prior knowledge on the noise affecting the data is reduced to a minimum. The approach will be illustrated on simulation examples, showing that it delivers practically useful confidence sets with guaranteed probabilities. |
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Carlo Petronio, Università di Pisa
Combinatorial and geometric methods in topology
Lunedì 23 Aprile 2007, ore 17:00
Dipartimento di Matematica - Università degli Studi - Via Saldini 50 - Milano - Sala di Rappresentanza | |
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