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4月16日 Bayesian and frequentist approaches to discoveries
2019年04月15日

  报告题目Bayesian and frequentist approaches to discoveries 

  报告人:Andrew Fowlie(南京师范大学)  

  报告人简介:I obtained a PhD on statistical analysis of supersymmetric models in 2013 under the supervision of Prof. Roszkowski. I then held post-doctoral research positions in KBFI in Estonia and Monash University in Australia, before joining the junior faculty at Nanjing Normal University earlier this year. My research interests include statistical methodology, statistical analysis of models beyond the Standard Model, dark matter and collider phenomenology, and recently first-order phase transitions suitable for baryogenesis or gravitational wave phenomenology.  

  报告摘要I discuss my recent comparison of Bayesian and frequentist approaches to a resonance-like feature in the spectrum measured by DAMPE and resonance searches in general. I first contrast the results of both methodologies when applied to results from DAMPE. I then introduce a counting experiment based on a search for the Higgs boson from which I generate pseudo-data. With that pseudo-data, I contrast the evolution of the $p$-value and posterior as we accumulate data and directly compare global $p$-values and the posterior of the background model. I find that in this toy problem $p$-values are typically smaller than the posterior by one or two orders of magnitude. I discuss the implications of this result for indirect searches for dark matter. 

  报告时间:2019416日下午15:00  

  报告地点:鼓楼317会议室  

欢迎大家参加!  

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