Theoretical Analysis of an XGBoost Framework for Product Cannibalization

12/02/2021
by   Gautham Bekal, et al.
0

This paper is an extension of our work where we presented a three-stage XGBoost algorithm for forecasting sales under product cannibalization scenario. Previously we developed the model based on our intuition and provided empirical evidence on its performance. In this study we would briefly go over the algorithm and then provide mathematical reasoning behind its working.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/24/2021

An XGBoost-Based Forecasting Framework for Product Cannibalization

Two major challenges in demand forecasting are product cannibalization a...
research
03/28/2022

Institutionalization of Software Product Line: An Empirical Investigation of Key Organizational Factors

A good fit between the person and the organization is essential in a bet...
research
05/12/2023

Product Disintegrations: Some Examples

We provide a collection of examples involving the concept of a product d...
research
08/22/2014

Neural Mechanism of Language

This paper is based on our previous work on neural coding. It is a self-...
research
07/15/2015

Untangling AdaBoost-based Cost-Sensitive Classification. Part II: Empirical Analysis

A lot of approaches, each following a different strategy, have been prop...
research
05/03/2022

The limitations of the theoretical analysis of applied algorithms

The theoretical analysis of performance has been an important tool in th...
research
07/16/2021

A Theoretical Analysis of Granulometry-based Roughness Measures on Cartosat DEMs

The study of water bodies such as rivers is an important problem in the ...

Please sign up or login with your details

Forgot password? Click here to reset