Big data, sparse information: Bayesian inference for large-scale models, with application to inverse modeling of Antarctic ice sheet dynamics

The Platform for Advanced Scientific Computing (PASC) Conference promotes scientific efforts to address key issues in different domains such as Climate and Atmospheric Modelling, Solid Earth Dynamics, Life Sciences across scales, Material Simulations, Plasma Physics, Astrophysics and Computer Scienc...

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Bibliographic Details
Main Author: Ghattas, Omar
Format: Article in Journal/Newspaper
Language:English
Published: Eidgenössische Technische Hochschule (ETH) Zürich 2014
Subjects:
Information Technology
Antarctic
Antarc*
Ice Sheet
Online Access:https://dx.doi.org/10.5446/35334
https://av.tib.eu/media/35334
id ftdatacite:10.5446/35334
record_format openpolar
spelling ftdatacite:10.5446/35334 2023-05-15T13:44:44+02:00 Big data, sparse information: Bayesian inference for large-scale models, with application to inverse modeling of Antarctic ice sheet dynamics Ghattas, Omar 2014 https://dx.doi.org/10.5446/35334 https://av.tib.eu/media/35334 en eng Eidgenössische Technische Hochschule (ETH) Zürich Information Technology Conference/Talk MediaObject article Audiovisual 2014 ftdatacite https://doi.org/10.5446/35334 2021-11-05T12:55:41Z The Platform for Advanced Scientific Computing (PASC) Conference promotes scientific efforts to address key issues in different domains such as Climate and Atmospheric Modelling, Solid Earth Dynamics, Life Sciences across scales, Material Simulations, Plasma Physics, Astrophysics and Computer Science/Mathematics. Article in Journal/Newspaper Antarc* Antarctic Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Antarctic
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Information Technology
spellingShingle Information Technology
Ghattas, Omar
Big data, sparse information: Bayesian inference for large-scale models, with application to inverse modeling of Antarctic ice sheet dynamics
topic_facet Information Technology
description The Platform for Advanced Scientific Computing (PASC) Conference promotes scientific efforts to address key issues in different domains such as Climate and Atmospheric Modelling, Solid Earth Dynamics, Life Sciences across scales, Material Simulations, Plasma Physics, Astrophysics and Computer Science/Mathematics.
format Article in Journal/Newspaper
author Ghattas, Omar
author_facet Ghattas, Omar
author_sort Ghattas, Omar
title Big data, sparse information: Bayesian inference for large-scale models, with application to inverse modeling of Antarctic ice sheet dynamics
title_short Big data, sparse information: Bayesian inference for large-scale models, with application to inverse modeling of Antarctic ice sheet dynamics
title_full Big data, sparse information: Bayesian inference for large-scale models, with application to inverse modeling of Antarctic ice sheet dynamics
title_fullStr Big data, sparse information: Bayesian inference for large-scale models, with application to inverse modeling of Antarctic ice sheet dynamics
title_full_unstemmed Big data, sparse information: Bayesian inference for large-scale models, with application to inverse modeling of Antarctic ice sheet dynamics
title_sort big data, sparse information: bayesian inference for large-scale models, with application to inverse modeling of antarctic ice sheet dynamics
publisher Eidgenössische Technische Hochschule (ETH) Zürich
publishDate 2014
url https://dx.doi.org/10.5446/35334
https://av.tib.eu/media/35334
geographic Antarctic
geographic_facet Antarctic
genre Antarc*
Antarctic
Ice Sheet
genre_facet Antarc*
Antarctic
Ice Sheet
op_doi https://doi.org/10.5446/35334
_version_ 1766205290654466048

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