Events
Events
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Statistics Seminar
Location: 2203 SAS Hall, NC State Main Campus Speaker: Kevin Gross Professor Statistics Department North Carolina State University Title: Towards a social theory of statistics: Some reflections on the beginning, middle, and end of my career Abstract: When we talk about how science works, we usually focus on the so-called scientific method, stressing observation, data analysis, and hypothesis…
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Statistics Seminar
Location: 2203 SAS Hall, NC State Main Campus Speaker: Sarah Lotspeich Assistant Professor Department of Statistical Sciences Wake Forest University Title: Bridging statistics and bioinformatics to overcome data challenges in the learning health system Abstract: Data from Electronic health records (EHR) present a huge opportunity to operationalize a standardized whole-person health score in the learning health system…
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Statistics Seminar
Location: 2203 SAS Hall, NC State Main Campus Title: Navigating the Complexities of Statistical Software Development Speaker: Ryan Lekivetz Director of Advanced Analytics R&D - JMP Statistical Discovery Abstract: Statistical software development is a multidisciplinary endeavor that spans product design, implementation, testing, documentation, and customer support. In this talk, I’ll share personal experiences from working…
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Statistics Seminar
Location: 2203 SAS Hall, NC State Main Campus Speaker: Elynn Chen Assistant Professor of Technology, Operations and Statistics (TOPS) at NYU Stern School of Business Title: Transfer Q-Learning: Stationary and Non-Stationary MDPs Abstract: In dynamic decision-making scenarios across business, healthcare, and education, leveraging data from diverse populations can significantly enhance reinforcement learning (RL) performance for specific target…
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Statistics Seminar
Location: 2203 SAS Hall, NC State Main Campus Speaker: Josh Startmer, Founder of StatQuest Title: StatQuest: Origins plus musings on the intersection of Statistics and Machine Learning. ABSTRACT: Although closely related, subtle but important differences separate machine learning practitioners from statisticians. In this talk, we will use statistical linear models to highlight these differences. Then, we…
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