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Theory and application of classical and modern multivariate methods to data arising in biology, sociology, economics, engineering and other fields.
In order to model students' happiness, we apply machine learning methods to data collected from undergrad students monitored over the course of one month each.
My research focuses on the predictability and variability of the climate system, with emphasis on the application of statistical methods to data from observations and numerical models.
This work looks at the validity of applying these processing methods to data used in fusion specific calculations in comparison to fission.
We apply these methods to data for 28 groundfish species caught in a standardized survey using contracted fishery vessels and personnel in the Northeast Pacific.
We apply these methods to data (GPS recordings) from the Starkey Experimental Forest and Range in Oregon to model the movement of elk in response to environmental factors and the presence of hunters.
Similar(27)
They range from process-based prediction methods to data-driven statistical estimation methods.
We motivate and apply the proposed method to data from National Health and Nutrition Examination Survey, and illustrate properties of the methods by simulation.
We apply our method to data obtained by interrogating the mutational status of p53 in 50 cancer cell lines (33 mutated and 17 normal).
RESULTS:We apply the method to data from Drosophila melanogaster and D. yakuba.
They apply their forecasting method to data from two distinct locations in the San Joaquin Valley.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com