Óli Páll Geirsson (21/03/14)Óli Páll Geirsson (21/03/14)

Málstofa í stærðfræði Speaker: Óli Páll Geirsson Title: Weak solution to stochastic partial differential equations and applications in spatial statistics Location: Room V-147 in building VR-II on the UI campus Time: Friday March 21, 2014, at 12:00 to 13:00. Abstract: The literature on spatial statistics is rich and recognized, where Gaussian fields play a dominant role […]

Óli Páll Geirsson (21/03/14)Óli Páll Geirsson (21/03/14) Read More »

Óli Páll Geirsson (20/03/14)Óli Páll Geirsson (20/03/14)

Málstofa í tölfræði Speaker: Óli Páll Geirsson, Doctoral student, Department of Mathematics, Faculty of Physical Sciences, University of Iceland. Title: Modelling annual maximum 24 hour precipitation in Iceland using the SPDE approach and split sampling MCMC strategy Location: Room V-157 in building VR-II on the UI campus Time: Thursday, March 20th 2014, at 12:00 to

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Sverre Smalø (30/01/14)Sverre Smalø (30/01/14)

Málstofa í stærðfræði Speaker: Sverre Smalø, Trondheim Title: Finite dimensional representations of finitely generated associative algebras Date and time: January 30th at 15:00 Place: VR-157. Málstofa í stærðfræði Speaker: Sverre Smalø, Trondheim Title: Finite dimensional representations of finitely generated associative algebras Date and time: January 30th at 15:00 Place: VR-157.

Sverre Smalø (30/01/14)Sverre Smalø (30/01/14) Read More »

Kári Sigurðsson (29/01/14)Kári Sigurðsson (29/01/14)

Málstofa í stærðfræði Speaker: Kári Sigurðsson Title: Um stærðfræði: Kver handa framhaldsskólanemum – öðruvísi námsefni Location: Room V-147 in building VR-II on the UI campus Time: Wednesday January 29, 2014, at 16:00.Málstofa í stærðfræði Speaker: Kári Sigurðsson Title: Um stærðfræði: Kver handa framhaldsskólanemum – öðruvísi námsefni Location: Room V-147 in building VR-II on the UI campus Time: Wednesday January 29, 2014, at 16:00.

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Daniel Simpson (23/01/14)Daniel Simpson (23/01/14)

Málstofa í tölfræði Speaker: Daniel Simpson, Researcher, Department of Mathematical Sciences, Norwegian University of Science and Technology Title: Towards computationally efficient spatial statistics Location: Room V-157 in building VR-II on the UI campus Time: Thursday January 23rd 2014, at 12:00 to 13:00. Abstract: Spatial statistics is hard! The combination of large datasets and complicated models

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