MarTech on MSN

Open source made MMM cheaper, not easier

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

Why marketing mix modeling is still hard to get right

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

Neighborhood Social Determinants of Health and Referral to Cardiac Rehabilitation: An Analysis of the Get With The Guidelines–Coronary Artery Disease Registry

BACKGROUND: Despite strong guideline recommendations for cardiac rehabilitation (CR) following an acute myocardial infarction ...
GitHub

Structural causal models with Bayesian estimation and interventional simulation via a concise DSL.

pathmc is a Python package for Bayesian path analysis and structural causal modeling. You write your causal assumptions as a small set of structural equations in a lavaan-inspired formula language, ...
IEEE

Leveraging Machine Learning for Real-Time Financial Forecasting and Budget Optimization: Applying Regression Models, and Reinforcement Learning Techniques

Abstract: The modern world, dynamic planning and accurate forecasting for dynamic datasets are essential for the practice of financial management. Often models used in traditional problems are not ...