Taylor Pospisil

Evaluation of probabilistic photometric redshift estimation approaches for The Rubin Observatory Legacy Survey of Space and Time (LSST)

Samuel J. Schmidt, Alex I. Malz, John Y. H. Soo et al. · Monthly Notices of the Royal Astronomical Society · 2020 · 79 citations · Full text

Natural Sciences, Astronomy, Physics +15

Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

Nicolás Dalmassó, Taylor Pospisil, A.B. Lee et al. · Astronomy and Computing · 2020 · 43 citations · Full text

Natural Sciences, Astronomy, Physics +13

ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations

Rafael Izbicki, Ann B. Lee, Taylor Pospisil · Journal of Computational and Graphical Statistics · 2018 · 34 citations · Full text

Computing, Biostatistics, Bayesian Biostatistics +16

Non-Gaussianity in the weak lensing correlation function likelihood – implications for cosmological parameter biases

Chien-Hao Lin, Joachim Harnois-Déraps, T. F. Eifler et al. · Monthly Notices of the Royal Astronomical Society · 2020 · 27 citations · Full text

Natural Sciences, Astronomy, Cosmology +16

RFCDE: Random Forests for Conditional Density Estimation

Taylor Pospisil, Ann B. Lee · arXiv (Cornell University) · 2018 · 10 citations · Full text

Computing, Biostatistics, Bayesian Data Analysis +14