Measurement error models address the deviation between observed and true values, thereby refining the reliability of statistical inference. These frameworks are ...

This is a core course that provides essential grounding in statistical inference and modelling for engineers and technologists. Students will learn how to develop statistical models to describe random ...

This course covers the ideas underlying statistical modelling, its implementation through computational methods, and links to practical applications. Topics include probability and random variables, ...

This is a preview. Log in through your library . Journal Information The Economic Journal was first published in 1891 with a view of promoting the advancement of economic knowledge. Today, The ...

Data really powers everything that we do. Research activities in the data science area are concerned with the development of machine learning and computational statistical methods, their theoretical ...

Statistics is all about getting data and analysing it and using it to answer questions about the world be that in terms of Economics, Finance or public opinions. The applications are numerous The LSE ...

Statistical modeling continues to deliver distinct value to businesses both independent of, and in concert with, machine learning. “Artificial intelligence” (AI) and “machine learning” are among the ...

The next generation of inference platforms must evolve to address all three layers. The goal is not only to serve models ...