A big part of his work is figuring out when a statistical method is truly the best choice. Some problems have straightforward answers, but many don’t. “We don’t have theory that tells us what works or ...
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 ...
The Bachelor of Science in Statistics and Data Science is the college’s newest major. The curriculum is designed to equip students to execute all stages of a data analysis, from data acquisition and ...
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, according to a study coordinated by Brazilian researchers affiliated with the ...
A lot of ink has been spilled on the question of what will ultimately win: the scientific method, an approach to learning about the world by coming up with theories and testing those theories against ...
This workshop will focus on key aspects of transparency and reproducibility in federal statistics, including data access, archiving, and documentation, as a follow-on activity to the NSF-funded Forum ...
Ben Fulcher receives funding from the National Health and Medical Research Council. Complexity is all around us, from the daily fluctuations of financial markets to the intricate web of neurons in our ...
An ad hoc committee under the auspices of the National Research Council will plan and organize a workshop to address statistical challenges in assessing and fostering the reproducibility of scientific ...
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