Nature

Robust Inference in Time Series Analysis

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 ...
JSTOR Daily

ROBUST INFERENCE FOR PARTIALLY OBSERVED FUNCTIONAL RESPONSE DATA

Irregular functional data, in which densely sampled curves are observed over different ranges, pose a challenge for modeling and inference, and sensitivity to outlier curves is a concern in ...

Google, Microsoft among those boosting AI inference performance for cloud customers using Nvidia's software Dynamo

AWS, Alphabet's (GOOG) (GOOGL) Google Cloud, Microsoft (MSFT) Azure and Oracle (ORCL) Cloud Infrastructure — are accelerating ...
JSTOR Daily

ROBUST INFERENCE WHEN COMBINING INVERSE-PROBABILITY WEIGHTING AND MULTIPLE IMPUTATION TO ADDRESS MISSING DATA WITH APPLICATION TO AN ELECTRONIC HEALTH ...

While electronic health records present a rich and promising data source for observational research, they are highly susceptible to missing data. For settings like these, Seaman et al. (Biometrics 68 ...
Medicine Buffalo

Emerging Directions in Robust Learning and Inference

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

AI Inference Market to Reach USD 349.49 Billion by 2032 Driven by Growing Need for Real-Time Processing and Low-Latency AI Applications | Research by SNS Insider

Austin, Sept. 24, 2025 (GLOBE NEWSWIRE) -- The AI Inference Market Size was valued at USD 87.56 Billion in 2024 and is expected to reach USD 349.49 Billion by 2032 and grow at a CAGR of 18.91% over ...