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pro vyhledávání: '"Valen, E."'
We describe Bayes factors based on z, t, $\chi^2$, and F statistics when non-local moment prior distributions are used to define alternative hypotheses. The non-local alternative prior distributions are centered on standardized effects. The prior den
Externí odkaz:
http://arxiv.org/abs/2310.16213
Bayes factors represent the ratio of probabilities assigned to data by competing scientific hypotheses. Drawbacks of Bayes factors are their dependence on prior specifications that define null and alternative hypotheses and difficulties encountered i
Externí odkaz:
http://arxiv.org/abs/2210.00049
Autor:
Pedersen, J.S., Valen, E., Velazquez, A.M.V., Parker, B.J., Lindgreen, S., Lilje, B., Tobin, Desmond J., Kelly, T.K., Vang, S., Andersson, R., Jones, P.A., Hoover, C.A., Prokhortchouk, E., Rubin, E.M., Sandelin, A., Gilbert, M.T.P., Krogh, A., Willerslev, E.
Yes
Epigenetic information is available from contemporary organisms, but is difficult to track back in evolutionary time. Here, we show that genome-wide epigenetic information can be gathered directly from next-generation sequence reads of DNA i
Epigenetic information is available from contemporary organisms, but is difficult to track back in evolutionary time. Here, we show that genome-wide epigenetic information can be gathered directly from next-generation sequence reads of DNA i
Externí odkaz:
http://hdl.handle.net/10454/7060
For high dimensional data, where P features for N objects (P >> N) are represented in an NxP matrix X, we describe a clustering algorithm based on the normalized left Gram matrix, G = XX'/P. Under certain regularity conditions, the rows in G that cor
Externí odkaz:
http://arxiv.org/abs/2202.08236
Publikováno v:
Emerging Infectious Diseases, Vol 29, Iss 9, Pp 1789-1797 (2023)
Brucellosis is a major public health concern worldwide, especially for persons living in resource-limited settings. Historically, an evidence-based estimate of the global annual incidence of human cases has been elusive. We used international public
Externí odkaz:
https://doaj.org/article/74bf6d86b46241c48d6144434a275bb6
Akademický článek
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We describe a modified sequential probability ratio test that can be used to reduce the average sample size required to perform statistical hypothesis tests at specified levels of significance and power. Examples are provided for $z$ tests, $t$ tests
Externí odkaz:
http://arxiv.org/abs/1811.08478
Autor:
Rahman, Shahina, Johnson, Valen E.
We propose an algorithm for clustering high dimensional data. If $P$ features for $N$ objects are represented in an $N\times P$ matrix ${\bf X}$, where $N\ll P$, the method is based on exploiting the cluster-dependent structure of the $N\times N$ mat
Externí odkaz:
http://arxiv.org/abs/1811.00956
Autor:
Nikooienejad, Amir, Johnson, Valen E.
Publikováno v:
Bayesian Analysis (2020)
Uniformly most powerful Bayesian tests (UMPBT's) are an objective class of Bayesian hypothesis tests that can be considered the Bayesian counterpart of classical uniformly most powerful tests. Because the rejection regions of UMPBT's can be matched t
Externí odkaz:
http://arxiv.org/abs/1804.01187