67 citations · 82 across the 8 of their papers we have counts for
4 papers · 1 filter
Second Order Calibration: A Simple Way to Get Approximate Posteriors
Omkar Muralidharan, Amir Najmi
Many large-scale machine learning problems involve estimating an unknown parameter for each of many items. For example, a key problem in sponsored search is to estimate the…
Teaching Statistics at Google Scale
Nicholas Chamandy, Omkar Muralidharan, Stefan Wager
Modern data and applications pose very different challenges from those of the 1950s or even the 1980s. Students contemplating a career in statistics or data science need to have th…
Detecting mutations in mixed sample sequencing data using empirical Bayes
Omkar Muralidharan, Georges Natsoulis, John Bell +2
We develop statistically based methods to detect single nucleotide DNA mutations in next generation sequencing data. Sequencing generates counts of the number of times each base wa…
An empirical Bayes mixture method for effect size and false discovery rate estimation
Omkar Muralidharan
Many statistical problems involve data from thousands of parallel cases. Each case has some associated effect size, and most cases will have no effect. It is often important to est…