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pro vyhledávání: '"Harrison, Matthew T."'
Autor:
Tao, Ran, Zhao, Pan, Wu, Jing, Martin, Nicolas F., Harrison, Matthew T., Ferreira, Carla, Kalantari, Zahra, Hovakimyan, Naira
Crop management, including nitrogen (N) fertilization and irrigation management, has a significant impact on the crop yield, economic profit, and the environment. Although management guidelines exist, it is challenging to find the optimal management
Externí odkaz:
http://arxiv.org/abs/2209.09991
Autor:
Bilotto, Franco, Harrison, Matthew T., Vibart, Ronaldo, Mackay, Alec, Christie-Whitehead, Karen M., Ferreira, Carla S.S., Cottrell, Richard S., Forster, Daniel, Chang, Jinfeng
Publikováno v:
In Trends in Food Science & Technology October 2024 152
Autor:
Fleming, Aysha, O'Grady, Anthony P., Stitzlein, Cara, Ogilvy, Sue, Mendham, Daniel, Harrison, Matthew T.
Publikováno v:
In Ecological Economics October 2022 200
People who inject drugs are an important population to study in order to reduce transmission of blood-borne illnesses including HIV and Hepatitis. In this paper we estimate the HIV and Hepatitis C prevalence among people who inject drugs, as well as
Externí odkaz:
http://arxiv.org/abs/1712.09149
Akademický článek
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Autor:
Harrison, Matthew T., Strother, Lars
Publikováno v:
In Neuropsychologia 20 August 2021 159
The Kalman filter (KF) is used in a variety of applications for computing the posterior distribution of latent states in a state space model. The model requires a linear relationship between states and observations. Extensions to the Kalman filter ha
Externí odkaz:
http://arxiv.org/abs/1608.06622
Autor:
Dastin-van Rijn, Evan M., Provenza, Nicole R., Calvert, Jonathan S., Gilron, Ro'ee, Allawala, Anusha B., Darie, Radu, Syed, Sohail, Matteson, Evan, Vogt, Gregory S., Avendano-Ortega, Michelle, Vasquez, Ana C., Ramakrishnan, Nithya, Oswalt, Denise N., Bijanki, Kelly R., Wilt, Robert, Starr, Philip A., Sheth, Sameer A., Goodman, Wayne K., Harrison, Matthew T., Borton, David A.
Publikováno v:
In Cell Reports Methods 21 June 2021 1(2)
Autor:
Singleton, Alyson L., Marshall, Brandon D.L., Bessey, S., Harrison, Matthew T., Galvani, Alison P., Yedinak, Jesse L., Jacka, Brendan P., Goodreau, Steven M., Goedel, William C. *
Publikováno v:
In Epidemics March 2021 34
A natural Bayesian approach for mixture models with an unknown number of components is to take the usual finite mixture model with Dirichlet weights, and put a prior on the number of components---that is, to use a mixture of finite mixtures (MFM). Wh
Externí odkaz:
http://arxiv.org/abs/1502.06241