Abstract: To account for joint detection, tracking, and classification (JDTC) of multiple targets from a sequence of noisy and cluttered observation sets, this paper introduces a recursive algorithm ...

Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...

The tools of probability theory, and of the related field of statistical inference, are the keys for being able to analyze and make sense of data. These tools underlie important advances in many ...

Interviewers spoke with 3,659 likely voters between June 15 and 29, 2026, in the Senate battlegrounds of Alaska, Iowa, Maine, North Carolina, Ohio and Texas. About 600 voters completed interviews in ...

Abstract: Huge data sets are widely available now and there is growing interest in selecting an optimal subsample from the full data set to improve inference efficiency and reduce labeling costs. We ...

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Introduction In 2021, globally, cardiometabolic diseases (CMDs) accounted for 35% of the 1.73 billion disability-adjusted life years (DALYs) attributed to non-communicable diseases. The Healthy Life ...