Statistical modeling lies at the heart of data science. Well-crafted statistical models allow data scientists to draw conclusions about the world from the limited information present in their data. In ...

In her first column, APS President Randi Martin makes the case for collaborative research that cuts across research areas. In ...

The authors categorize 34 computational methods for SVG detection ... methodologies—including statistical approaches—and applications, while proposing future research directions.

In the M.A. in Research and Evaluation Methods program at Boston College ... Addresses the construction, interpretation, and application of linear statistical models. Specifically, lectures and ...

Applied statistics and statistical learning (ASSL) is the process of using data relationships and computer models to drive business value, improve decision-making, and understand human relationships.

model selection and assessment. Members of the LSE Social Statistics group have interest in statistical methods in each of these areas and regularly collaborate with social scientists whose questions ...

As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the ...

Ecological modeling and statistical analysis are essential components of ecological research. Several Program in Ecology faculty have expertise in statistics and modeling, including cutting-edge ...

This course will cover the fundamental technologies comprising statistical language models, such as word embedding methods, recurrent neural networks and transformers, and selected natural language ...