Free tools have lowered the cost of marketing mix modeling, but data quality and human expertise remain the biggest barriers ...

Open-source tools have made MMM more accessible, but reliable results still depend on clean data, thoughtful modeling, and ...

In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Andy Brinkmeyer shares how engineering ...

Large Language Models (LLMs) are the world’s best mimics, but when it comes to the cold, hard logic of updating beliefs based on new evidence, they are surprisingly stubborn. A team of researchers ...

Hosted by Monash Business School, Department of Econometrics and Business Statistics in partnership with Melbourne Business School, The University of Melbourne this annual workshop, presented by both ...

Statistical communication through data visualization is essential across diverse fields, including health, climate, science, education, and policymaking. Despite its widespread use, there is currently ...

Bayesian Network (BN) [15] is a probabilistic graphical model that represents a set of random variables and their conditional probabilities via a directed acyclic graph (DAG). In these graphical ...

Theory of mind is the ability to understand other people’s behavior in terms of mental states such as desires and beliefs. Many have hypothesized that theory of mind is important for explaining the ...

Anomaly response in aerospace systems increasingly relies on multi-model analysis in digital twins to replicate the system’s behaviors and inform decisions. However, computer model calibration methods ...