Results 11 to 20 of about 377 (60)

Using R-based VOStat as a low resolution spectrum analysis tool [PDF]

, 2007
We describe here an online software suite VOStat written mainly for the Virtual Observatory, a novel structure in which astronomers share terabyte scale data. Written mostly in the public-domain statistical computing language and environment R, it can do
Babu, Jogesh G., Mahabal, Ashish A.
core   +2 more sources

The Accelerations of Stars Orbiting the Milky Way's Central Black Hole [PDF]

, 2000
Recent measurements, of the velocities of stars near the center of the Milky Way have provided the strongest evidence for the presence of a supermassive black hole in a galaxy, but the observational uncertainties poorly constrain many of the properties ...
A Eckart, A. M. Ghez, A. Tanner, AM Ghez, D Tsiklauri, DC Backer, E Maoz, E. E. Becklin, GJ Babu, K Matthews, K Matthews, KM Menten, KY Lo, M Morris, M. Morris, MJ Reid, MJ Reid, P Gondolo, P Salati, R Genzel, RH Sanders, S Salim, T. Kremenek   +22 more
core   +3 more sources

The Overlooked Potential of Generalized Linear Models in Astronomy - I: Binomial Regression [PDF]

, 2015
Revealing hidden patterns in astronomical data is often the path to fundamental scientific breakthroughs; meanwhile the complexity of scientific inquiry increases as more subtle relationships are sought.
Biffi, V., Cameron, E., Ciardi, B., de Souza, R. S., Hilbe, J., Killedar, M., Maio, U., Riggs, J. D., Vilalta, R.   +8 more
core   +2 more sources

Discerning Exoplanet Migration Models Using Spin-Orbit Measurements [PDF]

, 2010
We investigate the current sample of exoplanet spin-orbit measurements to determine whether a dominant planet migration channel can be identified, and at what confidence.
Chatterjee, Fabrycky, Fabrycky, Ford, Gaudi, Ho, John Asher Johnson, Jurić, Lai, Matsumura, Nagasawa, Narita, Narita, Narita, Schlaufman, Timothy D. Morton, Watson, Winn, Winn, Winn, Winn, Winn, Winn, Wolf, Wu   +24 more
core   +2 more sources

On the future of astrostatistics: statistical foundations and statistical practice

, 2012
This paper summarizes a presentation for a panel discussion on "The Future of Astrostatistics" held at the Statistical Challenges in Modern Astronomy V conference at Pennsylvania State University in June 2011.
A Gelman, A Webster, B Efron, B Efron, B Jackson, C J Miller, D Lynden-Bell, E D Feigelson, E D Feigelson, E Gosset, E J Zuiderwijk, E L Kaplan, J D Scargle, J G Scott, J. D. Scargle, J. D. Scargle, M J Bayarri, M Jordan, M Schmidt, M Woodroofe, N Meinshausen, R Development Core Team, R Protassov, R Weygaert van de, S M Stigler, Y P Varshni   +25 more
core   +1 more source

Are tiled display walls needed for astronomy? [PDF]

, 2014
Clustering commodity displays into a Tiled Display Wall (TDW) provides a cost-effective way to create an extremely high resolution display, capable of approaching the image sizes now gen- erated by modern astronomical instruments.
Fluke, Christopher J, Manos, Steven, Meade, Bernard F, Sinnott, Richard O   +3 more
core   +1 more source

Multivariate Approaches to Classification in Extragalactic Astronomy [PDF]

, 2015
Clustering objects into synthetic groups is a natural activity of any science. Astrophysics is not an exception and is now facing a deluge of data. For galaxies, the one-century old Hubble classification and the Hubble tuning fork are still largely in ...
Chattopadhyay, Asis Kumar, Fraix-Burnet, Didier, Thuillard, Marc   +2 more
core   +3 more sources

Robust joint modelling of sparsely observed paired functional data

Canadian Journal of Statistics, Volume 52, Issue 3, Page 734-754, September 2024.
Abstract A reduced‐rank mixed‐effects model is developed for robust modelling of sparsely observed paired functional data. In this model, the curves for each functional variable are summarized using a few functional principal components, and the association of the two functional variables is modelled through the association of the principal component ...
Huiya Zhou, Xiaomeng Yan, Lan Zhou
wiley   +1 more source

A Geometric Approach to Estimate Background in Astronomical Images

The Astrophysical Journal Supplement Series
Estimating the true background in an astronomical image is fundamental to detecting faint sources. In a typical low-photon-count astronomical image, such as in the far- and near-ultraviolet wavelength ranges, conventional methods relying on 3 σ clipping ...
Pushpak Pandey, Kanak Saha
doaj   +1 more source

Stratified learning: A general‐purpose statistical method for improved learning under covariate shift

Statistical Analysis and Data Mining: The ASA Data Science Journal, Volume 17, Issue 1, February 2024.
Abstract We propose a simple, statistically principled, and theoretically justified method to improve supervised learning when the training set is not representative, a situation known as covariate shift. We build upon a well‐established methodology in causal inference and show that the effects of covariate shift can be reduced or eliminated by ...
Maximilian Autenrieth, David A. van Dyk, Roberto Trotta, David C. Stenning   +3 more
wiley   +1 more source