Large language models excel at converting observability telemetry into clear summaries but struggle with accurate root cause analysis in distributed systems. LLMs often hallucinate explanations and ...

We propose this technical briefing on "Bayesian Data Analysis for Software Engineering" (BDA-SE) for ICSE 2021. Given the broad and growing interest for statistical data analysis throughout the ...

Doing Bayesian Data Analysis - Python/PyMC3 This repository contains Python/ PyMC3 code for a selection of models and figures from the book 'Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and ...

Frequentist and Bayesian statistics represent two differing paradigms for the analysis of data. Frequentism became the dominant mode of statistical thinking in medical practice during the 20th century ...

Conversely, Python is indispensable for professional programming due to its versatility, readability, extensive libraries, and robust community support. It enables efficient development, advanced data ...

This tutorial provides code in Python with data and instructions that enable their use and extension. We provide results for selected benchmark problems showing the strengths and weaknesses of ...

Against this background, the present report proposes a Bayesian probabilistic model and presents a freely available python package EmaCalc, RRID:SCR_022943, that can help researchers meet the ...