19 citations · 25 across the 10 of their papers we have counts for
10 papers
A Practical Introduction to Regression-based Causal Inference in Meteorology (I): All confounders measured
Caren Marzban, Yikun Zhang, Nicholas Bond +1
Whether a variable is the cause of another, or simply associated with it, is often an important scientific question. Causal Inference is the name associated with the body of techni…
A Practical Introduction to Regression-based Causal Inference in Meteorology (II): Unmeasured confounders
Caren Marzban, Yikun Zhang, Nicholas Bond +1
One obstacle to ``elevating'' correlation to causation is the phenomenon of confounding, i.e., when a correlation between two variables exists because both variables are in fact ca…
Principal Component Analysis for Equation Discovery
Caren Marzban, Ulvi Yurtsever, Michael Richman
Principal Component Analysis (PCA) is one of the most commonly used statistical methods for data exploration, and for dimensionality reduction wherein the first few principal compo…
Life After Earth
Caren Marzban, Raju Viswanathan, Ulvi Yurtsever
A recent study reported that there is evidence life may have originated prior to the formation of the Earth. That conclusion was based on a regression analysis of a certain data se…
Baby Morse Theory in Data Analysis
Caren Marzban, Ulvi Yurtsever
A methodology is proposed for inferring the topology underlying point cloud data. The approach employs basic elements of Morse Theory, and is capable of producing not only a point…
On the Gravitational Inverse Problem
Ulvi Yurtsever, Caren Marzban, Marina Meila
We discuss some mathematical aspects of the problem of inverting gravitational field data to extract the underlying mass distribution. While the forward problem of computing the gr…