Robust inference in time series analysis is concerned with developing statistical methods that remain valid under departures from standard model assumptions, such as the presence of heteroskedasticity ...

Future applications of national importance, such as healthcare, critical infrastructure, transportation systems, and smart cities, are expected to increasingly rely on machine-learning methods, ...

Faculty develop methods for structured and unstructured biomedical data that advance statistical inference, machine learning, causal inference, and algorithmic modeling. Their work delivers principled ...

The MarketWatch News Department was not involved in the creation of this content. DELRAY BEACH, Fla., Oct. 3, 2025 /PRNewswire/ -- The global AI inference PaaS market is anticipated to be valued at ...