1 citations · 1 across the 3 of their papers we have counts for
4 papers
Structural & Granger CAUSALITY for IoT Digital Twin
PG Madhavan
In this foundational expository article on the application of Causality Analysis in IoT, we establish the basic theory and algorithms for estimating Structural and Granger causalit…
Causal Digital Twin from Multi-channel IoT
PG Madhavan
Treating data from each sensor in an IoT installation on its own separately is wasteful. This article shows how to treat them as a multi-channel time series and introduces the Stat…
Stochastic Formulation of Causal Digital Twin: Kalman Filter Algorithm
PG Madhavan
We provide some basic and sensible definitions of different types of digital twins and recommendations on when and how to use them. Following up on our recent publication of the Le…
Evidence-based Prescriptive Analytics, CAUSAL Digital Twin and a Learning Estimation Algorithm
PG Madhavan
Evidence-based Prescriptive Analytics (EbPA) is necessary to determine optimal operational set-points that will improve business productivity. EbPA results from what-if analysis an…