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pro vyhledávání: '"Buzbas, Erkan"'
Autor:
Buzbas, Erkan O.1 (AUTHOR) bdevezer@uidaho.edu, Devezer, Berna1,2 (AUTHOR)
Publikováno v:
Entropy. Oct2024, Vol. 26 Issue 10, p842. 21p.
Autor:
Buzbas, Erkan Ozge.
Thesis (Ph. D., Bioinformatics and Computational Biology)--University of Idaho, May 2009.
Major professor: Paul Joyce. Includes bibliographical references (leaves 58-63). Also available online (PDF file) by subscription or by purchasing the indi
Major professor: Paul Joyce. Includes bibliographical references (leaves 58-63). Also available online (PDF file) by subscription or by purchasing the indi
Publikováno v:
In Journal of Computational Mathematics and Data Science March 2024 10
This paper investigates the conceptual relationship between openness and reproducibility using a model-centric approach, heavily informed by probability theory and statistics. We first clarify the concepts of reliability, auditability, replicability,
Externí odkaz:
http://arxiv.org/abs/1811.04525
Consistent confirmations obtained independently of each other lend credibility to a scientific result. We refer to results satisfying this consistency as reproducible and assume that reproducibility is a desirable property of scientific discovery. Ye
Externí odkaz:
http://arxiv.org/abs/1803.10118
Rapid adaptation has been observed in numerous organisms in response to selective pressures, such as the application of pesticides and the presence of pathogens. When rapid adaptation is driven by rare alleles from the standing genetic variation or b
Externí odkaz:
http://arxiv.org/abs/1303.0906
Autor:
Buzbas, Erkan O., Rosenberg, Noah A.
Approximate Bayesian computation (ABC) methods perform inference on model-specific parameters of mechanistically motivated parametric statistical models when evaluating likelihoods is difficult. Central to the success of ABC methods is computationall
Externí odkaz:
http://arxiv.org/abs/1301.6282
Autor:
Buzbas, Erkan Ozge, Joyce, Paul
Publikováno v:
Annals of Applied Statistics 2009, Vol. 3, No. 3, 1147-1162
The stationary distribution of allele frequencies under a variety of Wright--Fisher $k$-allele models with selection and parent independent mutation is well studied. However, the statistical properties of maximum likelihood estimates of parameters un
Externí odkaz:
http://arxiv.org/abs/0910.1664
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