3 citations · 3 across the 2 of their papers we have counts for
3 papers
stat.ML2022★ 3 cited
An Approximation Method for Fitted Random Forests
Sai K Popuri
Random Forests (RF) is a popular machine learning method for classification and regression problems. It involves a bagging application to decision tree models. One of the primary a…
stat.ME2020
Density Estimation using Entropy Maximization for Semi-continuous Data
Sai K. Popuri, Nagaraj K. Neerchal, Amita Mehta +1
Semi-continuous data comes from a distribution that is a mixture of the point mass at zero and a continuous distribution with support on the positive real line. A clear example is…
stat.CO2017
Parallelizing Computation of Expected Values in Recombinant Binomial Trees
Sai K. Popuri, Andrew M. Raim, Nagaraj K. Neerchal +1
Recombinant binomial trees are binary trees where each non-leaf node has two child nodes, but adjacent parents share a common child node. Such trees arise in finance when pricing a…