Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Sara Stoudt"'
Autor:
Nicholas Jon Horton, Sara Stoudt
Publikováno v:
Journal of Statistics and Data Science Education, Vol 32, Iss 3, Pp 227-231 (2024)
Externí odkaz:
https://doaj.org/article/e242f16b3841449a94eee5e29b00b627
Autor:
Sara Stoudt, Yacine Jernite, Brandeis Marshall, Ben Marwick, Malvika Sharan, Kirstie Whitaker, Valentin Danchev
Publikováno v:
PLoS Computational Biology, Vol 20, Iss 7, p e1012232 (2024)
Externí odkaz:
https://doaj.org/article/447303e4304840539143aa37a1dba61c
Autor:
Jeffrey W. Doser, Sara Stoudt
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 2, Pp 358-372 (2024)
Abstract Understanding variation in species occupancy is an important task for conservation. When assessing occupancy patterns over multiple temporal seasons, it is recommended to visit at least a subset of sites multiple times within a season during
Externí odkaz:
https://doaj.org/article/cd29605e44b94ae488a5235e74ceade3
Autor:
Sara Stoudt
Publikováno v:
Journal of Statistics and Data Science Education, Vol 30, Iss 3, Pp 282-288 (2022)
AbstractTo paraphrase John Tukey, the beauty of working with data is that you get to “play in everyone’s backyard.” A corollary to this statement is that working with data necessitates collaboration. Although students often learn technical work
Externí odkaz:
https://doaj.org/article/3ccbc0cd970849ffab394527c92d2902
Autor:
Deborah Nolan, Sara Stoudt
Publikováno v:
Harvard Data Science Review (2021)
Externí odkaz:
https://doaj.org/article/9b7c9d1409a64051a0da279039ac8eda
Publikováno v:
Harvard Data Science Review (2021)
Externí odkaz:
https://doaj.org/article/dcb7488065b24292b18bc110226fbf33
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 3, p e1008770 (2021)
A systematic and reproducible "workflow"-the process that moves a scientific investigation from raw data to coherent research question to insightful contribution-should be a fundamental part of academic data-intensive research practice. In this paper
Externí odkaz:
https://doaj.org/article/69081b5ececd439e961766c0c1ab272b
Autor:
Shuang Frost, Aleksandrina Goeva, Javin Pombra, Will Seaton, Sara Stoudt, Ana Trisovic, Chris Wang, Catherine Zucker
Publikováno v:
Harvard Data Science Review (2021)
Externí odkaz:
https://doaj.org/article/52f3420d2c3e47f8912388e971e47a39
Autor:
Deborah Nolan, Sara Stoudt
Publikováno v:
Significance. 17:34-37
Deborah Nolan and Sara Stoudt present a framework for learning the art of statistical storytelling
Publikováno v:
Proceedings of the National Academy of Sciences. 119
Identifying rates at which birders engage with different species can inform the impact and efficacy of conservation outreach and the scientific use of community-collected biodiversity data. Species that are thought to be “charismatic” are often p