Peter E. Freeman

Latest

• Conditional Density Estimation Tools in Python and R with Applications to Photometric Redshifts and Likelihood-Free Cosmological Inference
• Local Two-Sample Testing: A New Tool for Analysing High-Dimensional Astronomical Data
• A unified framework for constructing, tuning and assessing photometric redshift density estimates in a selection bias setting
• Photo-z Estimation: An Example of Nonparametric Conditional Density Estimation under Selection Bias