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 ...

Quantile estimation lies at the heart of statistical modelling when characterising the distributional properties of data beyond central tendency. By estimating the pth quantile—namely the value below ...

Discover how predictive analytics uses data-driven models like decision trees and neural networks to forecast outcomes and ...

The following is a summary of a story that originally appears on the Trinity College of Arts & Sciences website. As a new assistant professor in Duke’s Department of Statistical Science, Lasse ...

How can artificial intelligence improve the analysis of chromatographic data? Artificial intelligence (AI) is a powerful and ...

The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...

Interview with Dr. Caroline Buckee on the uses — and limitations — of epidemiologic modeling to predict the spread of Covid-19. 10m 49s Download Amid enormous uncertainty about the future of the Covid ...

Applied Statistics is the implementation of statistical methods, techniques, and theories to real-world problems and situations in several fields, such as science, engineering, business, medicine, ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Overview:  Statistics courses teach practical data analysis skills that can be used in real jobs and business ...