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pro vyhledávání: '"Lee, Mason A."'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023)
Abstract The analysis of data over space and time is a core part of descriptive epidemiology, but the complexity of spatiotemporal data makes this challenging. There is a need for methods that simplify the exploration of such data for tasks such as s
Externí odkaz:
https://doaj.org/article/a68d5f2761cf4924a9c637cbe3e2f7f1
Autor:
Lee Mason, Amy Berrington de Gonzalez, Montserrat Garcia-Closas, Stephen J Chanock, Blànaid Hicks, Jonas S Almeida
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0277149 (2023)
Forecasting methods are notoriously difficult to interpret, particularly when the relationship between the data and the resulting forecasts is not obvious. Interpretability is an important property of a forecasting method because it allows the user t
Externí odkaz:
https://doaj.org/article/e4823468082b44ebb26e51aa815e7d48
Autor:
Vilgelm, Anna E., Bergdorf, Kensey, Wolf, Melissa, Bharti, Vijaya, Shattuck-Brandt, Rebecca, Blevins, Ashlyn, Jones, Caroline, Phifer, Courtney, Lee, Mason, Lowe, Cindy, Hongo, Rachel, Boyd, Kelli, Netterville, James, Rohde, Sarah, Idrees, Kamran, Bauer, Joshua A., Westover, David, Reinfeld, Bradley, Baregamian, Naira, Richmond, Ann, Rathmell, W. Kimryn, Lee, Ethan, McDonald, Oliver G., Weiss, Vivian L.
Publikováno v:
In iScience 21 August 2020 23(8)
Akademický článek
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Akademický článek
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Autor:
Kahsai, Alem W., Shah, Kunal S., Shim, Paul J., Lee, Mason A., Shreiber, Bowie N., Schwalb, Allison M., Xingdong Zhang, Kwon, Henry Y., Li-Yin Huang, Soderblom, Erik J., Seungkirl Ahn, Lefkowitz, Robert J.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 10/24/2023, Vol. 120 Issue 43, p1-10, 28p
Publikováno v:
Perspect Behav Sci
Stimulus overselectivity remains an ill-defined concept within behavior analysis, because it can be difficult to distinguish truly restrictive stimulus control from random variation. Quantitative models of bias are useful, though perhaps limited in a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::560567480b779c050b6f94799b266118
https://doi.org/10.1007/s40614-021-00315-w
https://doi.org/10.1007/s40614-021-00315-w
Autor:
Lee Mason, Amy Berrington de Gonzalez, Montserrat Garcia-Closas, Stephen J. Chanock, Blànaid Hicks, Jonas S. Almeida
Publikováno v:
Mason, L, de Gonzalez, A B, Garcia-Closas, M, Chanock, S J, Hicks, B & Almeida, J S 2023, ' Interpretable, non-mechanistic forecasting using empirical dynamic modeling and interactive visualization ', PLoS One, vol. 18, no. 4, e0277149 . https://doi.org/10.1371/journal.pone.0277149
Forecasting methods are notoriously difficult to interpret, particularly when the relationship between the data and the resulting forecasts is not obvious. Interpretability is an important property of a forecasting method because it allows the user t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1c82990a14d8be9f59582d3b6f2a6e4
https://doi.org/10.1101/2022.10.21.22281384
https://doi.org/10.1101/2022.10.21.22281384
Autor:
Maria Otero, Lee Mason
Publikováno v:
Perspect Behav Sci
Despite overwhelming evidence in support of Direct Instruction, this research-validated curriculum has not been widely embraced by teachers or school administrators. The Direct Instruction model, developed and refined by Engelmann and colleagues over
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e2d254ee90215a399a60c9671260588
https://doi.org/10.1007/s40614-021-00295-x
https://doi.org/10.1007/s40614-021-00295-x
Akademický článek
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