Zobrazeno 1 - 10
of 1 411
pro vyhledávání: '"J, Loredo"'
Autor:
Thomas J. Loredo, Robert L. Wolpert
Publikováno v:
Frontiers in Astronomy and Space Sciences, Vol 11 (2024)
Bayesian inference gets its name from Bayes’s theorem, expressing posterior probabilities for hypotheses about a data generating process as the (normalized) product of prior probabilities and a likelihood function. But Bayesian inference uses all o
Externí odkaz:
https://doaj.org/article/34f01d9f5549465f91971c3e61a6fa1c
Autor:
G. Jogesh Babu, Eric D. Feigelson
Publikováno v:
Statistical Challenges in Modern Astronomy ISBN: 9781461392927
The choice of alternatives relevant for inference, and not the use of priors, is the fundamental distinguishing feature of Bayesian inference. Nevertheless, priors play an important role in inference, and I welcome Prof. West’s discussion of their
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a193c43d87e239d658674714bf844f3
https://doi.org/10.1007/978-1-4613-9290-3_34
https://doi.org/10.1007/978-1-4613-9290-3_34
Publikováno v:
Journal of Civil Engineering and Management, Vol 26, Iss 6 (2020)
Building Information Modelling for small constructions is a useful working tool aimed at providing alternative solutions in building engineering. However, it is not commonly applied to this purpose, and even less together with photogrammetry techniqu
Externí odkaz:
https://doaj.org/article/d89a6921edb04b558908b9844faa9e00
Autor:
Raúl Argüello-García, Mariana de la Vega-Arnaud, Iraís J. Loredo-Rodríguez, Adriana M. Mejía-Corona, Elizabeth Melgarejo-Trejo, Eulogia A. Espinoza-Contreras, Rocío Fonseca-Liñán, Arturo González-Robles, Nury Pérez-Hernández, M. Guadalupe Ortega-Pierres
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 8 (2018)
Fresh aqueous extracts (AGEs) and several thioallyl compounds (TACs) from garlic have an important antimicrobial activity that likely involves their interaction with exposed thiol groups at single aminoacids or target proteins. Since these groups are
Externí odkaz:
https://doaj.org/article/bfa2f3a3f2614f958db8118aec0835e8
Publikováno v:
Pediatric Critical Care Medicine. 23
Akademický článek
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Publikováno v:
Estudios Geologicos, Vol 70, Iss 1, Pp e008-e008 (2014)
Los estudios de selección y caracterización de potenciales estructuras y formaciones geológicas como almacenes de CO₂ son costosos y se encuentran sometidos a un alto riesgo de fracaso, especialmente cuando la estructura considerada es un acuíf
Externí odkaz:
https://doaj.org/article/457bc0c078d54f9fa629a96ac395f8f0
Autor:
Joseph Harrington, Michael D. Himes, Patricio E. Cubillos, Jasmina Blecic, Patricio M. Rojo, Ryan C. Challener, Nate B. Lust, M. Oliver Bowman, Sarah D. Blumenthal, Ian Dobbs-Dixon, Andrew S. D. Foster, Austin J. Foster, M. R. Green, Thomas J. Loredo, Kathleen J. McIntyre, Madison M. Stemm, David C. Wright
Publikováno v:
The Planetary Science Journal. 3:80
We present the open-source Bayesian Atmospheric Radiative Transfer (BART) retrieval package, which produces estimates and uncertainties for an atmosphere’s thermal profile and chemical abundances from observations. Several BART components are also
Autor:
Patricio E. Cubillos, Joseph Harrington, Jasmina Blecic, Michael D. Himes, Patricio M. Rojo, Thomas J. Loredo, Nate B. Lust, Ryan C. Challener, Austin J. Foster, Madison M. Stemm, Andrew S. D. Foster, Sarah D. Blumenthal
Publikováno v:
The Planetary Science Journal. 3:81
This and companion papers by Harrington et al. and Blecic et al. present the Bayesian Atmospheric Radiative Transfer (bart) code, an open-source, open-development package to characterize extrasolar planet atmospheres. bart combines a thermochemical e
Autor:
Jasmina Blecic, Joseph Harrington, Patricio E. Cubillos, M. Oliver Bowman, Patricio M. Rojo, Madison Stemm, Ryan C. Challener, Michael D. Himes, Austin J. Foster, Ian Dobbs-Dixon, Andrew S. D. Foster, Nathaniel B. Lust, Sarah D. Blumenthal, Dylan Bruce, Thomas J. Loredo
Publikováno v:
The Planetary Science Journal. 3:82
This and companion papers by Harrington et al. and Cubillos et al. describe an open-source retrieval framework, Bayesian Atmospheric Radiative Transfer (BART), available to the community under the reproducible-research license via https://github.com/