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New-Product-Sales-Forecasting-Dynamic-Changepoint-Model.qmd
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---
title: A Dynamic Changepoint Model for New Product Sales Forecasting
author: Abdullah Mahmood
date: last-modified
format:
html:
theme: cosmo
css: quarto-style/style.css
highlight-style: atom-one
mainfont: Palatino
fontcolor: black
monobackgroundcolor: white
monofont: Menlo, Lucida Console, Liberation Mono, DejaVu Sans Mono, Bitstream Vera Sans Mono, Courier New, monospace
fontsize: 13pt
linestretch: 1.4
number-sections: true
number-depth: 5
toc: true
toc-location: right
toc-depth: 5
code-fold: true
code-copy: true
cap-location: bottom
format-links: false
embed-resources: true
anchor-sections: true
code-links:
- text: GitHub Repo
icon: github
href: https://github.com/abdullahau/customer-analytics/
- text: Quarto Markdown
icon: file-code
href: https://github.com/abdullahau/customer-analytics/blob/main/New-Product-Sales-Forecasting-Dynamic-Changepoint-Model.qmd
html-math-method:
method: mathjax
url: https://cdn.jsdelivr.net/npm/mathjax@3/es5/tex-mml-chtml.js
jupyter: python3
---
**Source**: [A Dynamic Changepoint Model for New Product Sales Forecasting](https://www.jstor.org/stable/30036656)
```{python}
import pandas as pd
```