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 ...

Weak instrument robust inference is a critical area in econometrics that addresses the reliability of instrumental variable techniques when instruments exhibit only a feeble correlation with the ...

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

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 ...