Results 11 to 20 of about 443 (134)

The changing landscape of astrostatistics and astroinformatics [PDF]

Proceedings of the International Astronomical Union, 2016
AbstractThe history and current status of the cross-disciplinary fields of astrostatistics and astroinformatics are reviewed. Astronomers need a wide range of statistical methods for both data reduction and science analysis. With the proliferation of high-throughput telescopes, efficient large scale computational methods are also becoming essential ...
Eric D. Feigelson
openaire   +3 more sources

Realizing the potential of astrostatistics and astroinformatics [PDF]

, 2019
This Astro2020 State of the Profession Consideration White Paper highlights the growth of astrostatistics and astroinformatics in astronomy, identifies key issues hampering the maturation of these new subfields, and makes recommendations for structural improvements at different levels that, if acted upon, will make significant positive impacts across ...
Eadie, Gwendolyn, Loredo, Thomas J., Mahabal, Ashish A., Siemiginowska, Aneta, Feigelson, Eric, Ford, Eric B., Djorgovski, S. G., Graham, Matthew, Ivezic, Zeljko, Borne, Kirk, Cisewski-Kehe, Jessi, Peek, J. E. G., Schafer, Chad, Yanamandra-Fisher, Padma A., Young, C. Alex   +14 more
openaire   +3 more sources

The next decade of astroinformatics and astrostatistics [PDF]

, 2019
Non peer ...
Siemiginowska, Aneta, Eadie, Gwendolyn, Czekala, Ian, Feigelson, Eric, Ford, Eric B., Kashyap, Vinay, Kuhn, Michael, Loredo, Tom, Ntampaka, Michelle, Stevens, Abbie, Avelino, Arturo, Borne, Kirk, Budavari, Tamas, Burkhart, Blakesley, Cisewski-Kehe, Jessi, Civano, Francesca, Chilingarian, Igor, van Dyk, David A., Fabbiano, Giuseppina, Finkbeiner, Douglas P., Foreman-Mackey, Daniel, Freeman, Peter, Fruscione, Antonella, Goodman, Alyssa A., Graham, Matthew, Guenther, Hans Moritz, Hakkila, Jon, Hernquist, Lars, Huppenkothen, Daniela, James, David J., Law, Casey, Lazio, Joseph, Lee, Thomas, López-Morales, Mercedes, Mahabal, Ashish A., Mandel, Kaisey, Meng, Xiao-Li, Moustakas, John, Muna, Demitri, Peek, J. E. G., Richards, Gordon, Portillo, Stephen K. N., Scargle, Jeff, de Souza, Rafael S., Speagle, Joshua S., Stassun, Keivan G., Stenning, David C., Taylor, Stephen R., Tremblay, Grant R., Trimble, Virginia, Yanamandra-Fisher, Padma A., Young, C. Alex   +51 more
core   +4 more sources

Galaxies in haystacks: astrostatistics and the Gaia mission

, 2023
Talk given at the 2023 Joint Statistical Meetings " True North Strong and…Amazing at Astrostatistics! " invited paper session. Current file is a placeholder so I could generate a QR code. Will update.
Pauline Barmby (498323)
openaire   +2 more sources

Multistage analysis in astrostatistics [PDF]

, 2020
A sequence of statistical analyses often needs to be conducted by different groups of researchers where the output of each analysis feeds into subsequent analyses. The statistical and systematic uncertainties of estimated quantities, especially high dimensional quantities, are hard to quantify and difficult to carry forward into subsequent analyses. In
Yu, Xixi
openaire   +3 more sources

Bayesian Astrostatistics: A Backward Look to the Future [PDF]

, 2012
This perspective chapter briefly surveys: (1) past growth in the use of Bayesian methods in astrophysics; (2) current misconceptions about both frequentist and Bayesian statistical inference that hinder wider adoption of Bayesian methods by astronomers; and (3) multilevel (hierarchical) Bayesian modeling as a major future direction for research in ...
Thomas J. Loredo
openaire   +3 more sources

Autoencoding Galaxy Spectra. II. Redshift Invariance and Outlier Detection

The Astronomical Journal, 2023
We present an unsupervised outlier detection method for galaxy spectra based on the spectrum autoencoder architecture spender , which reliably captures spectral features and provides highly realistic reconstructions for SDSS galaxy spectra.
Yan Liang, Peter Melchior, Sicong Lu, Andy Goulding, Charlotte Ward   +4 more
doaj   +1 more source

The Data Big Bang and the Expanding Digital Universe: High‐Dimensional, Complex and Massive Data Sets in an Inflationary Epoch

Advances in Astronomy, Volume 2010, Issue 1, 2010., 2010
Recent and forthcoming advances in instrumentation, and giant new surveys, are creating astronomical data sets that are not amenable to the methods of analysis familiar to astronomers. Traditional methods are often inadequate not merely because of the size in bytes of the data sets, but also because of the complexity of modern data sets.
Meyer Z. Pesenson, Isaac Z. Pesenson, Bruce McCollum, Joshua S. Bloom   +3 more
wiley   +1 more source

The Exoplanets Catalogues and Archives: An Astrostatistical Analysis

Communications of the Byurakan Astrophysical Observatory, 2022
The discovery of more than 5000 exoplanets based on several methods will improve our understanding of the formation and evolution of the exoplanets. Due to the dramatically increases in the amount of the astronomical data in recent decades. Which can be analyzed statistically to extract scientific information and test astrophysical theories.
A. A. Abushattal, A. F. Kraishan, O. S. Alshamaseen   +2 more
openaire   +1 more source

Autoregressive Times Series Methods for Time Domain Astronomy

Frontiers in Physics, 2018
Celestial objects exhibit a wide range of variability in brightness at different wavebands. Surprisingly, the most common methods for characterizing time series in statistics—parametric autoregressive modeling—are rarely used to interpret astronomical ...
Eric D. Feigelson, Eric D. Feigelson, G. Jogesh Babu, G. Jogesh Babu, Gabriel A. Caceres   +4 more
doaj   +1 more source