Author: 3 D Statistical LearningWe help businesses and researchers solve complex challenges by providing expert guidance in statistics, machine learning, and tailored education. Our core services include: - Statistical Consulting: Comprehensive consulting tailored to your data-driven needs. - Training and Coaching: In-depth instruction in statistics, machine learning, and the use of statistical software such as SAS, R, and Python. - Reproducible Data Analysis Pipelines: Development of documented, reproducible workflows using SAS macros and customized R and Python code. - Interactive Data Visualization and Web Applications: Creation of dynamic visualizations and web apps with R (Shiny, Plotly), Python (Streamlit, Dash by Plotly), and SAS (SAS Viya, SAS Web Report Studio). - Automated Reporting and Presentation: Generation of automated reports and presentations using Markdown and Quarto. - Scientific Data Analysis: Advanced analytical support for scientific research projects.

Aug 26,2025

Making Bayesian Statistics Accessible to Everyone – Edition 4: Summarizing and Interpreting Bayesian Results

Introduction In Edition 2, we explored motivating examples that helped solidify key Bayesian ideas, from credible intervals to beta-binomial modeling and clinical trial analysis. Edition 3 examined the mathematical foundations of the Beta-Binomial distribution, a…

3 D Statistical Learning

Aug 26,2025

Introduction to Statistical Decision Theory- Edition 6: Bayes Decision Rules

1. From Classical to Bayesian Decision Making In earlier editions, we defined: Statistical decision problems Point estimation, hypothesis testing, confidence intervals Loss functions and risk functions Concepts of admissibility, dominance, and optimality In Edition 6,…

3 D Statistical Learning

Aug 26,2025

Making Bayesian Statistics Accessible to Everyone – Edition 5: A Bayesian Use Case – Monitoring Vaccine Efficacy in a Phase 3 Trial

Summary Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the resulting disease, COVID-19, have afflicted tens of millions of people globally. The urgent need for safe and effective vaccines led to a large-scale phase 3…

3 D Statistical Learning

Aug 26,2025

Introduction to Statistical Decision Theory- Edition 7- Application: Bayesian Estimation under Weighted Quadratic Loss

Introduction In the previous edition, we explored how decision theory provides rules for estimating unknown parameters using loss functions and Bayesian rules. Now, we go one step further by introducing weighted quadratic loss and how…

3 D Statistical Learning

Aug 26,2025

Making Bayesian Statistics Accessible to Everyone – Edition 6: Conjugate Prior Distributions – Mathematical Foundations and Applications

Introduction In this sixth edition, we take a deeper look into the structure of Bayesian models by introducing the concept of conjugate prior distributions. These are prior distributions that lead to posterior distributions in the…

3 D Statistical Learning

Aug 26,2025

Introduction to Statistical Decision Theory – Edition 8: Application: Bayes Rule under Weighted Loss in the Normal-Normal Model

Overview In this edition, we study the Bayes rule under a weighted squared loss for the Normal-Normal model. We will: Derive the posterior distribution for a single observation. Show that the Bayes rule has a…