123 citations · 355 across the 9 of their papers we have counts for
9 papers
Kernel Density Estimation with Berkson Error
James P. Long, Noureddine El Karoui, John A. Rice
Given a sample from , we construct kernel density estimators for , the convolution of with a known error density . This problem is known as d…
Using Machine Learning for Discovery in Synoptic Survey Imaging
Henrik Brink, Joseph W. Richards, Dovi Poznanski +4
Modern time-domain surveys continuously monitor large swaths of the sky to look for astronomical variability. Astrophysical discovery in such data sets is complicated by the fact t…
Optimizing Automated Classification of Periodic Variable Stars in New Synoptic Surveys
James P. Long, Noureddine El Karoui, John A. Rice +2
Efficient and automated classification of periodic variable stars is becoming increasingly important as the scale of astronomical surveys grows. Several recent papers have used met…
A Brief History of the Statistics Department of the University of California at Berkeley
Terry Speed, Jim Pitman, John Rice
The early history of our department was dominated by Jerzy Neyman (1894-1981), while the next phase was largely in the hands of Neyman's students, with Erich Lehmann (1917-2009) be…
Active Learning to Overcome Sample Selection Bias: Application to Photometric Variable Star Classification
Joseph W. Richards, Dan L. Starr, Henrik Brink +6
Despite the great promise of machine-learning algorithms to classify and predict astrophysical parameters for the vast numbers of astrophysical sources and transients observed in l…
The TAOS Project: Upper Bounds on the Population of Small KBOs and Tests of Models of Formation and Evolution of the Outer Solar System
F. B. Bianco, Z. -W. Zhang, M. J. Lehner +23
We have analyzed the first 3.75 years of data from TAOS, the Taiwanese American Occultation Survey. TAOS monitors bright stars to search for occultations by Kuiper Belt Objects (KB…