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, ...
GitHub

BAyesian Model-Building Interface in Python

Bambi is a high-level Bayesian model-building interface written in Python. It's built on top of the PyMC probabilistic programming framework, and is designed to make it extremely easy to fit ...
Investopedia

Decision Trees in Finance: A Tool for Analyzing Risks and Outcomes

Arthur Pinkasovitch, CFA, has worked 5+ years as a financial analyst. He is an associate director at ATB Financial. David Kindness is a Certified Public Accountant (CPA) and an expert in the fields of ...
Europe PMC

dockerHDDM: A user-friendly environment for Bayesian Hierarchical Drift-Diffusion Modeling

Drift diffusion models (DDMs) are pivotal in understanding evidence accumulation processes during decision-making across psychology, behavioral economics, neuroscience, and psychiatry. Hierarchical ...
C&EN

ProcessOptimizer, an Open-Source Python Package for Easy Optimization of Real-World Processes Using Bayesian Optimization: Showcase of Features and Example of Use

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...