Devdiscourse

Time series AI models can mislead policymakers through structural bias

Time series forecasting requires simplifying complex environments into quantifiable variables. These simplifications, while ...
International Monetary Fund

GDP Nowcasting Performance of Traditional Econometric Models vs Machine-Learning Algorithms: Simulation and Case Studies

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?
ascopubs.org

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

This study used SEER data from 1975 to 2018 and included 545,486 patients with lung cancer. The best parameters for ARIMA are ARIMA (p, d, q) = (0, 2, 2). In addition, the best parameter for SES was α ...
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 ...

Pusan National University Researchers Develop Model to Accurately Predict Vessel Turnaround Time

Dynamic operation indicators improve vessel turnaround forecasting accuracy, boosting berth planning and overall port efficiency BUSAN, South Korea, Nov. 24, 2025 /PRNewswire/ -- Growing port ...
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 ...