STAT497 APPLIED TIME SERIES ANALYSIS term project
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Updated
Aug 6, 2025 - R
STAT497 APPLIED TIME SERIES ANALYSIS term project
predicted traffic volume 15 minutes ahead by applying SARIMA and ARMAX models on traffic flow data
Dow Jones Index Forecasting
Data science projects
The problems here are from the book 'Forecasting: Principles and Practice(2nd ed.)' by Rob J Hyndman and George Athanasopoulos, Monash University, Australia.
This aims to investigate the stock market movements of historic SP 500 data using Markov Models
Modeling Probabilistic Forecasting Based on Information Learned from People Who Make Mistakes, Communicate Ineffectively, and Lie
Wind-Power-Forecasting using Time-series Analysis
Forecasting algorithm demonstration
Making a one step ahead forecast of the growth rate of the Ann Arbor, MI housing prices.
Some methods used in Economic/Business Forecasting.
Code I had written in R when I was learning different statistical techniques used for quantitative forecasting.
Solutions for Data Mining in Trading
Time series methods for public transit ridership forecasting
This project aims to evaluate and compare the forecasting performance of two distinct model-ing paradigms: traditional time series models and machine learning approaches. This Project was developed at the University of Padova, Department of Mathematics, for the Business, Economic and Financial Data course.
Elman Deep Neural Network in Forecasting application using R programming tested on 3 types of dataset
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