Probabilistic Programming
Skills Gained
Energy Consumption Analysis of Web Applications Using Bayesian Modeling
Bayesian Modeling (PyMC)
Probabilistic Programming & Inference
MCMC Diagnostics & Model Validation
Statistical Data Analysis
Energy-Aware Software Evaluation
Probabilistic Programming & Inference
MCMC Diagnostics & Model Validation
Statistical Data Analysis
Energy-Aware Software Evaluation
2025
Investigated energy consumption differences across programming languages, web frameworks, and API endpoints using Bayesian regression in PyMC. Conducted EDA with log-scaling and standardization, built Student-T models, and validated results through MCMC diagnostics and posterior predictive checks. Findings showed strong evidence that the c-sharp-razor framework consumed more energy than other frameworks.
Investigated energy consumption differences across programming languages, web frameworks, and API endpoints using Bayesian regression in PyMC. Conducted EDA with log-scaling and standardization, built Student-T models, and validated results through MCMC diagnostics and posterior predictive checks. Findings showed strong evidence that the c-sharp-razor framework consumed more energy than other frameworks.