Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

The analysis of categorical data underpins inquiries across disciplines ranging from social sciences to genomics. At its core, categorical data analysis seeks to model relationships between variables ...

The post-baccalaureate certificate in advanced analytics is designed for students with a foundational background in exploratory data analysis, offering advanced education in machine learning, deep ...

Statistical modelling of zero-inflated count data addresses datasets in which the frequency of zero outcomes exceeds that predicted by standard count distributions. Such phenomena arise across ...

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

This is the second of three course that will introduce students to contemporary mediums, methods and theories of how digital tolls impact basic concepts of architectural representation and experience.