Zobrazeno 1 - 10
of 412
pro vyhledávání: '"Gerard, David"'
Estimating the sharing of genetic effects across different conditions is important to many statistical analyses of genomic data. The patterns of sharing arising from these data are often highly heterogeneous. To flexibly model these heterogeneous sha
Externí odkaz:
http://arxiv.org/abs/2406.08784
Autor:
Howard, Gerard David, Elfes, Alberto
A testbed has recently been introduced that evolves controllers for arbitrary hover-capable UAVs, with evaluations occurring directly on the robot. To prepare the testbed for real-world deployment, we investigate the effects of state-space limitation
Externí odkaz:
http://arxiv.org/abs/1905.10762
Autor:
Gerard, David1 (AUTHOR) dgerard@american.edu
Publikováno v:
Biometrics. Sep2023, Vol. 79 Issue 3, p2143-2156. 14p.
Autor:
Marina Elisabeth Huurman, Gerdina Hendrika Maria Pijnenborg, Bouwina Esther Sportel, Gerard David van Rijsbergen, Ilanit Hasson-Ohayon, Nynke Boonstra
Publikováno v:
Frontiers in Psychiatry, Vol 14 (2023)
BackgroundReceiving the label of a psychotic disorder influences self-perception and may result in negative outcomes such as self-stigma and decreased self-esteem. The way the diagnosis is communicated to individuals may affect these outcomes.AimsThi
Externí odkaz:
https://doaj.org/article/ef705728551d470d8086f8019d246ce2
Autor:
Gerard, David, Stephens, Matthew
We combine two important ideas in the analysis of large-scale genomics experiments (e.g. experiments that aim to identify genes that are differentially expressed between two conditions). The first is use of Empirical Bayes (EB) methods to handle the
Externí odkaz:
http://arxiv.org/abs/1709.10066
Autor:
Gerard, David, Stephens, Matthew
Unwanted variation, including hidden confounding, is a well-known problem in many fields, particularly large-scale gene expression studies. Recent proposals to use control genes --- genes assumed to be unassociated with the covariates of interest ---
Externí odkaz:
http://arxiv.org/abs/1705.08393
Autor:
Howard, Gerard David
Self-adaptive parameters are increasingly used in the field of Evolutionary Robotics, as they allow key evolutionary rates to vary autonomously in a context-sensitive manner throughout the optimisation process. A significant limitation to self-adapti
Externí odkaz:
http://arxiv.org/abs/1703.10754
Autor:
Gerard, David, Stephens, Matthew
Publikováno v:
Statistica Sinica, 2021 Jan 01. 31(3), 1145-1166.
Externí odkaz:
https://www.jstor.org/stable/27034812
Autor:
Gerard, David P.1 (AUTHOR) DavidPGerard@comcast.net, Gerard, Sophia F.1 (AUTHOR), Raiser, Manfred W.1 (AUTHOR)
Publikováno v:
BMC Gastroenterology. 5/11/2023, Vol. 23 Issue 1, p1-11. 11p.