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X-WR-CALNAME:Maths & Stats Events
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UID:GLW_UNI_MS_WEBEVT_11655@maths-stats.gla.ac.uk
DTSTAMP:19700101T000000Z
DTSTART:20260325T120000Z
DTEND:20260325T123000Z
SUMMARY:Statistics Seminar: Scalable state-space models for spatio-temporal geostatistics - Jacopo Rodeschini (University of Bergamo)
DESCRIPTION:Abstract: This presentation introduces a novel low-rank approximation of the State-Space Model (SSM) with spatially correlated innovations for multivariate spatio-temporal data. Dimensionality reduction is achieved by embedding the Stochastic Partial Differential Equation (SPDE) approach\, providing a finite-dimensional representation of the innovation processes. Parameter estimation and likelihood derivatives are implemented in the Python/JAX...\N\NMore information: http://www.gla.ac.uk/schools/mathematicsstatistics/events/details/?id=11655
LOCATION:Maths 311B
SEQUENCE:2
STATUS:CONFIRMED
CLASS:PUBLIC
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