Information Geometry
This Special Issue of the journal Entropy, titled “Information Geometry I”, contains a collection of 17 papers concerning the foundations and applications of information geometry. Based on a geometrical interpretation of probability, information geometry has become a rich mathematical field employin...
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| Fformat: | Online |
| Iaith: | Saesneg |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Pynciau: | |
| Mynediad Ar-lein: | 32845 |
| Tagiau: |
Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!
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| _version_ | 1869529293117194240 |
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| author | Verdoolaege, Geert |
| author_browse | Verdoolaege, Geert |
| author_facet | Verdoolaege, Geert |
| author_sort | Verdoolaege, Geert |
| collection | Directory of Open Access Books |
| description | This Special Issue of the journal Entropy, titled “Information Geometry I”, contains a collection of 17 papers concerning the foundations and applications of information geometry. Based on a geometrical interpretation of probability, information geometry has become a rich mathematical field employing the methods of differential geometry. It has numerous applications to data science, physics, and neuroscience. Presenting original research, yet written in an accessible, tutorial style, this collection of papers will be useful for scientists who are new to the field, while providing an excellent reference for the more experienced researcher. Several papers are written by authorities in the field, and topics cover the foundations of information geometry, as well as applications to statistics, Bayesian inference, machine learning, complex systems, physics, and neuroscience. |
| format | Online |
| id | doab-20.500.12854ir-50220 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-502202023-12-20T18:40:39Z Information Geometry Verdoolaege, Geert QA1-939 Q1-390 decomposable divergence tensor Sylvester matrix maximum pseudo-likelihood estimation matrix resultant ?) Markov random fields Fisher information Fisher information matrix Stein equation entropy Sylvester matrix information geometry stationary process (? dually flat structure information theory Bezout matrix Vandermonde matrix bic Book Industry Communication::P Mathematics & science This Special Issue of the journal Entropy, titled “Information Geometry I”, contains a collection of 17 papers concerning the foundations and applications of information geometry. Based on a geometrical interpretation of probability, information geometry has become a rich mathematical field employing the methods of differential geometry. It has numerous applications to data science, physics, and neuroscience. Presenting original research, yet written in an accessible, tutorial style, this collection of papers will be useful for scientists who are new to the field, while providing an excellent reference for the more experienced researcher. Several papers are written by authorities in the field, and topics cover the foundations of information geometry, as well as applications to statistics, Bayesian inference, machine learning, complex systems, physics, and neuroscience. 2021-02-11T16:13:48Z 2021-02-11T16:13:48Z 2019-04-05 10:34:31 2019 book 32845 9783038976325 https://directory.doabooks.org/handle/20.500.12854/50220 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://play.google.com/books/publish/a/14935057684283403269#details/ISBN:9783038976325 https://mdpi.com/books/pdfview/book/1207 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03897-633-2 10.3390/books978-3-03897-633-2 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038976325 356 open access |
| spellingShingle | QA1-939 Q1-390 decomposable divergence tensor Sylvester matrix maximum pseudo-likelihood estimation matrix resultant ?) Markov random fields Fisher information Fisher information matrix Stein equation entropy Sylvester matrix information geometry stationary process (? dually flat structure information theory Bezout matrix Vandermonde matrix bic Book Industry Communication::P Mathematics & science Verdoolaege, Geert Information Geometry |
| title | Information Geometry |
| title_full | Information Geometry |
| title_fullStr | Information Geometry |
| title_full_unstemmed | Information Geometry |
| title_short | Information Geometry |
| title_sort | information geometry |
| topic | QA1-939 Q1-390 decomposable divergence tensor Sylvester matrix maximum pseudo-likelihood estimation matrix resultant ?) Markov random fields Fisher information Fisher information matrix Stein equation entropy Sylvester matrix information geometry stationary process (? dually flat structure information theory Bezout matrix Vandermonde matrix bic Book Industry Communication::P Mathematics & science |
| topic_facet | QA1-939 Q1-390 decomposable divergence tensor Sylvester matrix maximum pseudo-likelihood estimation matrix resultant ?) Markov random fields Fisher information Fisher information matrix Stein equation entropy Sylvester matrix information geometry stationary process (? dually flat structure information theory Bezout matrix Vandermonde matrix bic Book Industry Communication::P Mathematics & science |
| url | 32845 |
| work_keys_str_mv | AT verdoolaegegeert informationgeometry |