These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Code for the paper "Sequential Bayesian Experimental Design for Implicit Models via Mutual Information", Bayesian Analysis 2021, https://arxiv.org/abs/2003.09379.

In this work, we develop a new framework for designing experiments that are robust to model misspecification through generalised Bayesian inference. This repository contains the files needed to ...

Department of Biomedical Engineering, Tandon School of Engineering, New York University, New York, NY, United States Introduction: Leptin, primarily secreted by adipose tissue, is a critical hormone ...

The Education Department has released a new Nation's Report Card. High school students, especially 12th graders, are reading and learning math and science at historic lows, according to a new report ...

Department of Physics, Arizona State University, Tempe, Arizona 85281, United States Center for Biological Physics, Arizona State University, Tempe, Arizona 85281, United States College of Medical and ...

Empowered by technological progress, sports teams and bookmakers strive to understand relationships between player and team activity and match outcomes. For this purpose, the probability of an event ...

This thesis presents a series of studies conducted within the XENONnT experiment, a dark matter direct detection experiment using a dual-phase liquid xenon time projection chamber detector. The focus ...