Astrostatistics Lab Group
Since 1999, members of the Statistics Department have worked closely with faculty and students at both the McWilliams Center for Cosmology at CMU and the Department of Physics and Astronomy at Pitt to advance our understanding of the Universe through the application of cutting-edge statistical and machine learning techniques. On the statistical side, the primary interest is in developing methodologies for analyzing high-dimensional data, for mitigating selection biases, and for nonparametric, topological, and likelihood-free analyses. These methodologies have been applied to analyses of large-scale structure, the intergalactic medium, weak lensing, galaxy morphology, and dwarf galaxies, etc., as well as to the estimation of photometric redshifts.
