Voir la source de Ash Twin

== Overview ==

'''Ash Twin''' is an intern project designed to streamline Bayesian data analysis for time series data.

It is implemented as a '''[[Python]] pipeline''', providing a sequence of operations to process and analyze time series data using Bayesian methods. The project is under development, and a paper detailing its functionality is planned for future publication.

== Key Concepts ==

* '''Bayesian data analysis:''' A statistical approach that incorporates prior knowledge along with observed data to make inferences.
* '''Time series:''' Data points recorded sequentially over time, often used in experiments or longitudinal studies.
* '''[[Python]] pipeline:''' A structured sequence of computational steps implemented in [[Python]].

== Main Uses ==

* Process and analyze experimental time series data
* Apply Bayesian statistical methods to derive insights from measurements
* Provide a structured workflow for data analysis using [[Python]]

== Status ==

* Project is currently under development
* A scientific paper describing its methodology and applications is forthcoming