Neurointervention is a highly specialized area of medicine and, as such, neurointerventional research studies are often more challenging to conduct, require large, multicenter efforts and longer study ...
The use of Linear Complementarity Problems (LCP) is a powerful method for modeling switched systems, particularly in the context of power electronic circuits. Switched circuits are ubiquitous in ...
Click to share on X (Opens in new window) X Click to share on Facebook (Opens in new window) Facebook Madinabonu Nosirova/MiC At the risk of resurfacing near-traumatic feelings for any readers, I want ...
Abstract: We consider the problem of signal estimation in a generalized linear model (GLM). GLMs include many canonical problems in statistical estimation, such as linear regression, phase retrieval, ...
1 Department of Plant Pathology, The Ohio State University, Wooster, OH, United States 2 Center for Integrated Fungal Research, Department of Entomology and Plant Pathology, North Carolina State ...
"_This is a study note while I am taking __Generalized Linear Models and Nonparametric Regression__ offered by University of Colorado Boulder in Coursera_" "2. homoscedasticity: Also, we see that we ...
Abstract: Generalized linear models (GLMs) are a widely utilized family of machine learning models in real-world applications. As data size increases, it is essential to perform efficient distributed ...
ABSTRACT: Changes in climate factors such as temperature, rainfall, humidity, and wind speed are natural processes that could significantly impact the incidence of infectious diseases. Dengue is a ...
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