Results 221 to 230 of about 6,752,036 (307)

Copula‐based joint modelling of emergency department visits with time‐varying dependence

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract Jointly modelling multiple correlated count time series is essential in health services research, where outcomes like emergency visits for mental health and substance use often evolve together. Ignoring these dependencies can obscure meaningful trends and limit the effectiveness of policy evaluation.
Guanjie Lyu, Cindy Feng, Lihui Liu
wiley   +1 more source

Pseudo-HFOs Elimination in iEEG Recordings Using a Robust Residual-Based Dictionary Learning Framework. [PDF]

open access: yesIEEE J Biomed Health Inform
Besheli BF   +9 more
europepmc   +1 more source

The life and work of Ernest Sydney Keeping

open access: yesCanadian Journal of Statistics, EarlyView.
Abstract This article reviews the life and contributions of Ernest S. Keeping (1895–1984), a British‐born physicist who became a mathematics professor at the University of Alberta in 1929. He played a pivotal role in shaping the university's Mathematics Department, serving as its head from 1954 to 1961, and continuing to teach until 1970, nine years ...
David R. Bellhouse, Christian Genest
wiley   +1 more source

Sparse dictionary learning recovers pleiotropy from human cell fitness screens. [PDF]

open access: yesCell Syst, 2022
Pan J   +9 more
europepmc   +1 more source

Intelligent Automation Improved Efficiency in Pharmacovigilance Safety Signal Assessment

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
Pharmacovigilance is the science involving the detection, assessment, understanding, and prevention of adverse events associated with drugs, biologics, or medical devices. In pharmacovigilance, information that suggests a new potential causal relationship between an intervention and an adverse event is called a safety signal. Following their detection,
Jeffrey Warner   +3 more
wiley   +1 more source

Dictionary learning for signal classification.

open access: yes, 2014
Signal classification is widely applied in science and engineering such as in audio and visual signal processing. The performance of a typical classification system depends highly on the features (used to represent a signal in a lower dimensional space) and the classification algorithms (used to determine the category of the signal based on the ...
openaire   +2 more sources

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