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pro vyhledávání: '"Cousins, P. D."'
Autor:
Cousins, Robert D., Wasserman, Larry
This is a writeup, with some elaboration, of the talks by the two authors (a physicist and a statistician) at the first PHYSTAT Informal review on January 24, 2024. We discuss Bayesian and frequentist approaches to dealing with nuisance parameters, i
Externí odkaz:
http://arxiv.org/abs/2404.17180
Autor:
Cousins, Robert D.
Likelihood functions are ubiquitous in data analyses at the LHC and elsewhere in particle physics. Partly because "probability" and "likelihood" are virtual synonyms in everyday English, but crucially distinct in data analysis, there is great potenti
Externí odkaz:
http://arxiv.org/abs/2010.00356
Autor:
Cousins, Robert D.
For many years, philosopher-of-statistics Deborah Mayo has been advocating the concept of severe testing as a key part of hypothesis testing. Her recent book, Statistical Inference as Severe Testing, is a comprehensive exposition of her arguments in
Externí odkaz:
http://arxiv.org/abs/2002.09713
Autor:
Cousins, Robert D.
The Jeffreys prior for a constrained part of a parameter space is the same as that for the unconstrained space, contrary to the assertions of Hannestad and Tram.
Externí odkaz:
http://arxiv.org/abs/1902.07667
Autor:
Cousins, Robert D.
This is a writeup of lectures on "statistics" that have evolved from the initial version for the 2009 Hadron Collider Physics Summer School at CERN to versions for other venues and, most recently, for the African School of Fundamental Physics and App
Externí odkaz:
http://arxiv.org/abs/1807.05996
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In many analyses in high energy physics, attempts are made to remove the effects of detector smearing in data by techniques referred to as "unfolding" histograms, thus obtaining estimates of the true values of histogram bin contents. Such unfolded hi
Externí odkaz:
http://arxiv.org/abs/1607.07038
Autor:
Cousins, Robert D.
Publikováno v:
Synthese 194 395-432 (2017) (published first online 30 July 2014) erratum doi:10.1007/s11229-015-0687-3
The Jeffreys-Lindley paradox displays how the use of a p-value (or number of standard deviations z) in a frequentist hypothesis test can lead to an inference that is radically different from that of a Bayesian hypothesis test in the form advocated by
Externí odkaz:
http://arxiv.org/abs/1310.3791
Autor:
Cousins, Robert D.
Suppose an observable x is the measured value (negative or non-negative) of a true mean mu (physically non-negative) in an experiment with a Gaussian resolution function with known fixed rms deviation s. The most powerful one-sided upper confidence l
Externí odkaz:
http://arxiv.org/abs/1109.2023
Publikováno v:
Nuclear Instruments and Methods in Physics Research A 612 (2010) 388--398
Confidence intervals for a binomial parameter or for the ratio of Poisson means are commonly desired in high energy physics (HEP) applications such as measuring a detection efficiency or branching ratio. Due to the discreteness of the data, in both o
Externí odkaz:
http://arxiv.org/abs/0905.3831