Shiv is an applied econometrician with a Ph.D. in economics from the University of Wisconsin at Madison. He is interested in the following areas of research: multivariate forecasting, causality based modeling, and game theoretic insights into behavior on social networks.
Sparse Decomposition for Time Series Forecasting and Anomaly Detection
A Non-parametric Approach to the Multi-channel Attribution Problem
A non-parametric approach to the Multi-channel attribution problem
Probabilistic Deduplication of Anonymous Web Traffic
Estimating the incremental effects of interactions for marketing attribution