Members of the lab, including the new chief A.I. officer, Alexandr Wang, have talked about abandoning Meta’s most powerful open source A.I. model in favor of developing a closed one.

Detection of structural changes in machine state has been a long-standing problem in the monitoring and prognosis of complex rotating machinery. In our previous work [1], a novel ...

Thursday, May 22, 2025 • Brian Lopez : Contact Suvra Pal, an associate professor of statistics in The University of Texas at Arlington’s Department of Mathematics, has been awarded a $1.8 million ...

A web-based application for analyzing historical weather data and forecasting future trends using advanced statistical models. Built with Python and Flask, the app provides interactive visualizations, ...

Switching dynamic linear models are commonly used methods to describe change in an evolving time series, where the switching ARIMA (autoregressive integrated moving average) model is a special case.

Add a description, image, and links to the arima-modeling topic page so that developers can more easily learn about it ...

Statistical machine learning models for prediction of China’s maritime emergency patients in dynamic: ARIMA model, SARIMA model, and dynamic Bayesian network model ...

The results show that the prediction accuracies of the multiscale SPI of the combined ARIMA–SVR model and the single ARIMA model were related to the time scale of the index, and they gradually ...