Search Results for author: Stephen Bailey

Found 4 papers, 3 papers with code

Algorithms for Non-Negative Matrix Factorization on Noisy Data With Negative Values

1 code implementation8 Nov 2023 Dylan Green, Stephen Bailey

In this paper we present two algorithms, Shift-NMF and Nearly-NMF, that can handle both the noisiness of the input data and also any introduced negativity.

Dimensionality Reduction

The clustering of galaxies in the completed SDSS-III Baryon Oscillation Spectroscopic Survey: cosmological analysis of the DR12 galaxy sample

no code implementations11 Jul 2016 Shadab Alam, Metin Ata, Stephen Bailey, Florian Beutler, Dmitry Bizyaev, Jonathan A. Blazek, Adam S. Bolton, Joel R. Brownstein, Angela Burden, Chia-Hsun Chuang, Johan Comparat, Antonio J. Cuesta, Kyle S. Dawson, Daniel J. Eisenstein, Stephanie Escoffier, Héctor Gil-Marín, Jan Niklas Grieb, Nick Hand, Shirley Ho, Karen Kinemuchi, David Kirkby, Francisco Kitaura, Elena Malanushenko, Viktor Malanushenko, Claudia Maraston, Cameron K. McBride, Robert C. Nichol, Matthew D. Olmstead, Daniel Oravetz, Nikhil Padmanabhan, Nathalie Palanque-Delabrouille, Kaike Pan, Marcos Pellejero-Ibanez, Will J. Percival, Patrick Petitjean, Francisco Prada, Adrian M. Price-Whelan, Beth A. Reid, Sergio A. Rodríguez-Torres, Natalie A. Roe, Ashley J. Ross, Nicholas P. Ross, Graziano Rossi, Jose Alberto Rubiño-Martín, Ariel G. Sánchez, Shun Saito, Salvador Salazar-Albornoz, Lado Samushia, Siddharth Satpathy, Claudia G. Scóccola, David J. Schlegel, Donald P. Schneider, Hee-Jong Seo, Audrey Simmons, Anže Slosar, Michael A. Strauss, Molly E. C. Swanson, Daniel Thomas, Jeremy L. Tinker, Rita Tojeiro, Mariana Vargas Magaña, Jose Alberto Vazquez, Licia Verde, David A. Wake, Yuting Wang, David H. Weinberg, Martin White, W. Michael Wood-Vasey, Christophe Yèche, Idit Zehavi, Zhongxu Zhai, Gong-Bo Zhao

When combined with supernova Ia data, we find H0 = 67. 3+/-1. 0 km/s/Mpc even for our most general dark energy model, in tension with some direct measurements.

Cosmology and Nongalactic Astrophysics

Principal Component Analysis with Noisy and/or Missing Data

4 code implementations20 Aug 2012 Stephen Bailey

We present a method for performing Principal Component Analysis (PCA) on noisy datasets with missing values.

Instrumentation and Methods for Astrophysics Data Analysis, Statistics and Probability

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