Pinned Loading

1. PyDay-BCN-2025PyDay-BCN-2025Public

   Causal Inference: a brief introduction | Discover how causal inference separates correlation from causation to drive better decisions. This fast-paced introduction covers key concepts—treatments, c…

   Jupyter Notebook 7 3

2. Bayesian-AB-Test-CalculatorBayesian-AB-Test-CalculatorPublic

   Simple Bayesian AB Test Calculator

   Jupyter Notebook 4

3. False-Positive-Risk-Calculator-AB-testsFalse-Positive-Risk-Calculator-AB-testsPublic

   A calculator for trustworthy false positive risk calculations with alpha, power, one/two-tailed hypothesis using three different methods

   TypeScript 2

4. Pricing-Experimentation-Causal-InferencePricing-Experimentation-Causal-InferencePublic

   Análisis de pricing con inferencia causal usando Synthetic Control para estimar el impacto de cambios de precio y construir contrafactuales a nivel de mercado.

   7

5. MDE-calculator-AB-testMDE-calculator-AB-testPublic

   MDE calculator for AB testing projects to calculate your sample size properly.

   Jupyter Notebook 2

6. Multi-Agentic-System-for-Causal-InferenceMulti-Agentic-System-for-Causal-InferencePublic

   Charla en 2026 en el evento Trafffic.pro sobre ITSAgent, un producto interno basado en un sistema multi-agente secuencia que realiza un análisis ITSA (Interrupted Time Series Analysis)