Diogo Ribeiro

Data Science & Research Lead writing practical notes on statistics, machine learning, forecasting, and data engineering. The useful posts here should add analysis, examples, code, experiments, or field judgment rather than paraphrase search results.

Recent writing

Understanding the Use of Error Bars in Scientific Reporting

Introduction

Pseudo-Supervised Outlier Detection

1. Introduction

The Logistic Model: Explained

Introduction

Stepwise Selection Algorithms Almost Always Ruin Statistical Estimates

There is a clear reason why stepwise regression is usually inappropriate, along with several other significant drawbacks. This article will examine these issues, providing an in-depth understanding of why stepwise selection is generally detrimental to statistical estimates.

Smoothing Time Series Data: Moving Averages vs. Savitzky-Golay Filters

Understanding the Logrank Test in Survival Analysis

Basics of the Logrank Test

Advanced Non-Parametric ANCOVA and Robust Alternatives

Introduction

Machine Learning Monitoring: Moving Beyond Univariate Data Drift Detection

Machine learning (ML) model monitoring is a critical aspect of maintaining the performance and reliability of models in production environments. As organizations increasingly rely on ML models to drive decision-making and automate processes, ensuring these models remain accurate and effective ove...

LASSO Regression: What, Why, When, and When Not

Latent Class Analysis: Unveiling Hidden Patterns in Data

Introduction