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 ...

Statistical language models assign probabilities to sequences of words, and are used in systems that perform text summarization, machine translation, question answering, information extraction, text ...

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 ...

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 ...