Devdiscourse

Time series AI models can mislead policymakers through structural bias

Time series forecasting requires simplifying complex environments into quantifiable variables. These simplifications, while ...
InfoWorld

An introduction to time series forecasting

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed. Industries from ...
ascopubs.org

Time Series Prediction of Lung Cancer Death Rates on the Basis of SEER Data

Synthetic Data Generation by Artificial Intelligence to Accelerate Research and Precision Medicine in Hematology Three models for yearly time series predictions were built: autoregressive integrated ...
Crowdfund Insider

Sweden’s Riksbank Research : AI Models Outperforming Traditional Time Series Models in Predicting GDP, Inflation

Sweden’s central bank, the Riksbank, is embracing a transformative shift in economic forecasting, as recent findings from its Monetary Policy Department reveal that artificial intelligence (AI)-based ...
insider.si.edu

Time series analysis / James D. Hamilton

1. Difference Equations -- 2. Lag Operators -- 3. Stationary ARMA Processes -- 4. Forecasting -- 5. Maximum Likelihood Estimation -- 6. Spectral Analysis -- 7 ...