Thomas Stopka is an associate professor and epidemiologist with the Department of Public Health and Community Medicine at the Tufts University School of Medicine. In his NIH-funded interdisciplinary ...

Offered through an interdisciplinary partnership, data science at CU Boulder is delivered by the Departments of Applied Mathematics, Computer Science, and Information Science and awarded by the ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...

Functional analysis of variance (ANOVA) modeling has been proved particularly useful to investigate the dynamic changes of functional data according to certain categorical factors and their ...

MMM isn't a replacement for all attribution, but it is a powerful strategic layer that can restore clarity to marketing ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in ...

“Half the money I spend on advertising is wasted; the trouble is I don’t know which half”. This a famous quote from marketing pioneer John Wanamaker and even 100+ years later, it still holds true as ...