According to the researchers, the leap from technical success to operational adoption remains largely unfulfilled. Many ...
Retrieving an accurate picture of what a tagged animal does as it journeys through its environment requires statistical analysis, especially when it comes to animal movement, and the methods ...
Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
Léo R. Belzile's research is funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) and IVADO. HEC Montréal provides funding as a founding partner of The Conversation CA-FR.
Statistical models used in geophysical, environmental, and climate science applications must reflect the curvature of the spatial domain in global data. Over the past few decades, statisticians have ...
BACKGROUND A continuous-time three-state model can be used to describe change in cognitive function in the older population. State 1 corresponds to normal cognitive function, state 2 to cognitive ...
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Child malnutrition in Kenya: AI model can forecast rates six months before they become critical
Globally, nearly half of the deaths of children under five years are linked to malnutrition. In Kenya, it's the leading cause ...
Senior writer at Forbes covering cybercrime, privacy and surveillance. Yet another major tech company is training AI models with user data—by default—and not informing users first. Following in the ...
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