Zobrazeno 1 - 10
of 97
pro vyhledávání: '"David A. van Dyk"'
Autor:
Xixi Yu, Vinay L. Kashyap, Giulio Del Zanna, David A. van Dyk, David C. Stenning, Connor P. Ballance, Harry P. Warren
Publikováno v:
The Astrophysical Journal, Vol 968, Iss 2, p 73 (2024)
We estimate the coronal density of Capella using the O vii and Fe xvii line systems in the soft X-ray regime that have been observed over the course of the Chandra mission. Our analysis combines measures of error due to uncertainty in the underlying
Externí odkaz:
https://doaj.org/article/59c5aa7908a448d4a6d95e4ebd983eb6
Publikováno v:
The Astrophysical Journal, Vol 950, Iss 1, p 37 (2023)
Cosmological parameters encoding our understanding of the expansion history of the universe can be constrained by the accurate estimation of time delays arising in gravitationally lensed systems. We propose TD-CARMA, a Bayesian method to estimate cos
Externí odkaz:
https://doaj.org/article/6661fe7264ad4010acbb3b0cd2d64044
Publikováno v:
The Astronomical Journal, Vol 165, Iss 2, p 66 (2023)
Data from high-energy observations are usually obtained as lists of photon events. A common analysis task for such data is to identify whether diffuse emission exists, and to estimate its surface brightness, even in the presence of point sources that
Externí odkaz:
https://doaj.org/article/f839a6f73f6d43489b701baa7f84eb81
Autor:
Kosuke Imai, David A. Van Dyk
Publikováno v:
Journal of Statistical Software, Vol 14, Iss 1, Pp 1-32 (2005)
MNP is a publicly available R package that fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where
Externí odkaz:
https://doaj.org/article/7ae40ac5eb204757bf95bded730dd8df
Autor:
David A. Van Dyk, Kosuke Imai
Publikováno v:
Journal of Statistical Software, Vol 14, Iss 3 (2005)
Externí odkaz:
https://doaj.org/article/8e5eca2bce94402f8226dc6736073928
Data from high-energy observations are usually obtained as lists of photon events. A common analysis task for such data is to identify whether diffuse emission exists, and to estimate its surface brightness, even in the presence of point sources that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c190faacaa03a7d4c3f7c1bb398db1be
http://arxiv.org/abs/2208.07427
http://arxiv.org/abs/2208.07427
Publikováno v:
Statistical Methods in Medical Research. 29:709-727
Propensity score methods are a part of the standard toolkit for applied researchers who wish to ascertain causal effects from observational data. While they were originally developed for binary treatments, several researchers have proposed generaliza
Autor:
Ted von Hippel, Morgan Fouesneau, David C. Stenning, Jimmy Sargent, Coryn A. L. Bailer-Jones, Adam Moss, Elliot Robinson, Elizabeth Jeffery, David A. van Dyk, Natalie Moticska, Isabelle Kloc
Publikováno v:
Proceedings of the International Astronomical Union. 15:188-191
We employ Pan-STARRS photometry, Gaia trigonometric parallaxes, modern stellar evolution and atmosphere models, and our Bayesian fitting approach to determine cooling and total ages for 159,238 white dwarfs. In many cases we are able to derive precis
Publikováno v:
Proceedings of the International Astronomical Union. 15:192-196
We analyze individual white dwarfs in open clusters observed by Gaia. In particular, we determine ages when different model ingredients are used. We also explore fundamental properties of the white dwarfs, including temperature and mass, when using d
Autor:
Luis F. Campos, Antoine D. Meyer, David A. van Dyk, Vinay Kashyap, A. Zezas, David E. Jones, A. Siemiginowska
The analysis of individual X-ray sources that appear in a crowded field can easily be compromised by the misallocation of recorded events to their originating sources. Even with a small number of sources, which none the less have overlapping point sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d157afd5e17f94d5200bc9680e41d60f
http://arxiv.org/abs/2105.08606
http://arxiv.org/abs/2105.08606