50 citations · 57 across the 3 of their papers we have counts for
3 papers
Beyond Trees: Classification with Sparse Pairwise Dependencies
Yaniv Tenzer, Amit Moscovich, Mary Frances Dorn +2
Several classification methods assume that the underlying distributions follow tree-structured graphical models. Indeed, trees capture statistical dependencies between pairs of var…
On the exact Berk-Jones statistics and their p-value calculation
Amit Moscovich, Boaz Nadler, Clifford Spiegelman
Continuous goodness-of-fit testing is a classical problem in statistics. Despite having low power for detecting deviations at the tail of a distribution, the most popular test is b…
Gap bootstrap methods for massive data sets with an application to transportation engineering
S. N. Lahiri, C. Spiegelman, J. Appiah +1
In this paper we describe two bootstrap methods for massive data sets. Naive applications of common resampling methodology are often impractical for massive data sets due to comput…