Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

A research team introduces a hierarchical Bayesian spatial approach that integrates UAV and terrestrial LiDAR data to ...

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

SAN FRANCISCO, Oct. 15, 2025 /PRNewswire/ -- Ars X Machina (AXM), a media and analytics agency, today announced the commercial launch of Agile Mix Modeling(TM), the first measurement platform designed ...

Google will now open Meridian, the company’s marketing mix modeling measurement system, which will become available to all marketers and data scientists globally. A certified partner program with more ...

In this contributed article, editorial consultant Jelani Harper discusses how data modeling is the foundation of the data science discipline that’s responsible for the adaptive, predictive analytics ...

While marketers have been grappling and struggling with solutions to the loss of third-party cookies over the past couple of years, new and smarter ways of investing media dollars have been evolving.

This course introduces the theoretical, philosophical, and mathematical foundations of Bayesian Statistical inference. Students will learn to apply this foundational knowledge to real-world data ...