# Bayesian radiocarbon modelling for beginners

## TL;DR

This paper provides an accessible introduction to Bayesian radiocarbon modelling, emphasizing understanding and critical assessment of the methods for archaeologists using user-friendly software.

## Contribution

It offers intuitive insights to help archaeologists make informed choices and critically evaluate Bayesian chronological models without requiring advanced statistical expertise.

## Key findings

- Enhanced understanding of Bayesian modelling principles
- Guidance on selecting appropriate modelling tools
- Improved ability to critically assess chronological models

## Abstract

Due to freely available, tailored software, Bayesian statistics is fast becoming the dominant paradigm in archaeological chronology construction. Such software provides users with powerful tools for Bayesian inference for chronological models with little need to undertake formal study of statistical modelling or computer programming. This runs the risk that it is reduced to the status of a black-box which is not sensible given the power and complexity of the modelling tools it implements. In this paper we seek to offer intuitive insight to ensure that readers from the archaeological research community who use Bayesian chronological modelling software will be better able to make well educated choices about the tools and techniques they adopt. Our hope is that they will then be both better informed about their own research designs and better prepared to offer constructively critical assessments of the modelling undertaken by others.