#QuantileRegression
Finally out:

Rohrer, J. M., & Wenz, S. E. (2024). Inappropriate causal assumptions underlie Killingsworth, Kahneman, and Mellers’ conclusions. PNAS, 121(46). www.pnas.org/doi/10.1073/...

#methods #methodology #causality #causalinference #sociology #psychology #SciComment #quantileregression
Inappropriate causal assumptions underlie Killingsworth, Kahneman, and Mellers’ conclusions | PNAS
Inappropriate causal assumptions underlie Killingsworth, Kahneman, and Mellers’ conclusions
www.pnas.org
November 4, 2024 at 12:10 PM
Copying@anushamvable.bsky.social's tweet re terrific new paper from fantastic postdoc, Dr Aayush Khadka, “didactic” paper on #QuantileRegression, now available
@amjepi.bsky.social (doi.org/10.1093/aje/...)!
QR is important for #EquityResearch because the most structurally minoritized individuals…
Quantile regressions as a tool to evaluate how an exposure shifts and reshapes the outcome distribution: A primer for epidemiologists
Abstract. Quantifying how an exposure affects the entire outcome distribution is often important, e.g., for outcomes such as blood pressure which have non-
doi.org
August 5, 2024 at 10:06 PM
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression.

visualstudiomagazine.com/Articles/202...

#Csharp #NeuralNetwork #QuantileRegression
Neural Network Quantile Regression Using C# -- Visual Studio Magazine
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile regression. The goal of a quantile regression problem is to predict a single numeric...
visualstudiomagazine.com
March 18, 2025 at 4:54 PM