GitHub

ARIMAX, SARIMAX, and Nonstationarity — A PhD-Level Deep Dive

A focused, runnable curriculum on the three pillars of applied time-series econometrics most often needed in marketing analytics, macro forecasting, operations research, and financial econometrics.
IEEE

Multivariate Time Series Forecasting using ARIMAX, SARIMAX, and RNN-based Deep Learning Models on Electricity Consumption

Abstract: Growing energy consumption has been a contemporary problem, especially in the climate crisis and the COVID-19 pandemic. Many statistical reports have stated that there is an increase in ...
Frontiers

Three-stage interpretability analysis of influenza virus and meteorological correlation in Jiuquan City, 2016–2025: SARIMAX + TreeSHAP

The COVID-19 pandemic has profoundly altered global influenza circulation. This study aimed to investigate the impact of meteorological factors on influenza transmission in Jiuquan, China, during ...
IEEE

A Hybrid Statistical and Web-based Framework for Accurate Sales Forecasting using SARIMAX

Abstract: This paper presents an intelligent, data-driven forecasting system based on the Seasonal AutoRegressive Integrated Moving Average with Exogenous Variables (SARIMAX) model. The proposed ...
BMJ

Impact of COVID-19 state of emergency declarations on percutaneous coronary intervention volumes in Japan: a SARIMAX analysis of nationwide DPC database (2018–2021)

Objectives To evaluate the impact of Japan’s COVID-19 state of emergency declarations on percutaneous coronary intervention (PCI) volumes using Seasonal AutoRegressive Integrated Moving Average with ...