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 ...

The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...

Strategic decision making lies at the heart of game theory and market competition research, providing a framework to understand how rational agents interact under conditions of uncertainty and ...

Many organizations implementing AI agents tend to focus too narrowly on a single decision-making model, falling into the trap of assuming a one-size-fits-all decision-making framework, one that ...

Chiranjiv heads Data Sciences and AI at Course5 Intelligence, solving clients' CPG, retail, supply chain, tech and Industry 5.0 problems. Businesses now have a wide range of chances to improve ...

Whether in everyday life or in the lab, we often want to make inferences about hypotheses. Whether I’m deciding it’s safe to run a yellow light, when I need to leave home in order to make it to my ...