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pro vyhledávání: '"WILSON, DANIEL J."'
Establishing the frequentist properties of Bayesian approaches widens their appeal and offers new understanding. In hypothesis testing, Bayesian model averaging addresses the problem that conclusions are sensitive to variable selection. But Bayesian
Externí odkaz:
http://arxiv.org/abs/2312.17566
Autor:
Carmody, Todd
Publikováno v:
Bulletin of the History of Medicine, 2015 Apr 01. 89(1), 131-133.
Externí odkaz:
https://www.jstor.org/stable/26308995
Autor:
Pascoe, Ben, Futcher, Georgina, Pensar, Johan, Bayliss, Sion C., Mourkas, Evangelos, Calland, Jessica K., Hitchings, Matthew D., Joseph, Lavin A., Lane, Charlotte G., Greenlee, Tiffany, Arning, Nicolas, Wilson, Daniel J., Jolley, Keith A., Corander, Jukka, Maiden, Martin C.J., Parker, Craig T., Cooper, Kerry K., Rose, Erica B., Hiett, Kelli, Bruce, Beau B., Sheppard, Samuel K.
Publikováno v:
In Journal of Infection November 2024 89(5)
Autor:
Kuang, Jenevieve, Bonanno, Shanna, Chang, Wei-Ting, Bower, Duncan Q., Pratt, Violet M., Zerkowski, Jillian, Scaperdas, Nicholas, Young, Lindsey A., Armendarez, Olivia J., Alwelyee, Mohammed H., Lim, Samantha L., Wilson, Daniel J., Deravi, Leila F., Joshi, Neel S.
Publikováno v:
In Matter 1 May 2024 7(5):1848-1866
Autor:
Wilson, Daniel J.
A novel class of methods for combining $p$-values to perform aggregate hypothesis tests has emerged that exploit the properties of heavy-tailed Stable distributions. These methods offer important practical advantages including robustness to dependenc
Externí odkaz:
http://arxiv.org/abs/2105.01501
Autor:
Chirinko, Robert S.1 chirinko@uic.edu, Wilson, Daniel J.2 daniel.wilson@sf.frb.org
Publikováno v:
National Tax Journal. Sep2023, Vol. 76 Issue 3, p481-523. 43p.
Publikováno v:
Molecules. Nov2023, Vol. 28 Issue 22, p7655. 17p.
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