Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Miguel de Carvalho"'
Autor:
Maria Antónia Amaral Turkman, Kamil Feridun Turkman, Patrícia de Zea Bermudez, Soraia Pereira, Paula Pereira, Miguel de Carvalho
Publikováno v:
Revstat Statistical Journal, Vol 19, Iss 3 (2021)
In an environmental framework, extreme values of certain spatio-temporal processes, for example wind speeds, are the main cause of severe damage in property, such as electrical networks, transport and agricultural infrastructures. Typically, as is th
Externí odkaz:
https://doaj.org/article/2c29174256cb493292d4da8e5b8d7d24
Autor:
Miguel de Carvalho Soares
Personal health data obtained through self-monitoring is often presented through standardised representations with little intrinsic meaning for those who may need it the most since low health literacy is associated with poor health. By failing to inf
Externí odkaz:
https://hdl.handle.net/10216/129090
Autor:
Junho Lee, Miguel de Carvalho
Publikováno v:
PLoS ONE, Vol 14, Iss 4, p e0213300 (2019)
We develop a Bayesian time-varying model that tracks periods at which conformance to Benford's Law is lower. Our methods are motivated by recent attempts to assess how the quality and homogeneity of large datasets may change over time by using the Fi
Externí odkaz:
https://doaj.org/article/309e669853f9465a8e670151b1f8ed55
Autor:
William Medeiros, Kelly Hidalgo, Tiago Leão, Lucas Miguel de Carvalho, Nadine Ziemert, Valeria Oliveira
Publikováno v:
Microbiology Spectrum, Vol 12, Iss 6 (2024)
ABSTRACT Extreme environments, such as Antarctica, select microbial communities that display a range of evolutionary strategies to survive and thrive under harsh environmental conditions. These include a diversity of specialized metabolites, which ha
Externí odkaz:
https://doaj.org/article/40d43f969ff041098b88b31cbcbee083
Autor:
Miguel de Carvalho, Alexandra Ramos
Publikováno v:
Revstat Statistical Journal, Vol 10, Iss 1 (2012)
We review the current state of statistical modeling of asymptotically independent data. Our discussion includes necessary and sufficient conditions for asymptotic independence, results on the asymptotic independence of statistics of interest, estimat
Externí odkaz:
https://doaj.org/article/ecb9ec01255f4890bb6fa3ee6ebb492b
Autor:
Bárbara Regina Bazzo, Lucas Miguel de Carvalho, Marcelo Falsarella Carazzolle, Gonçalo Amarante Guimarães Pereira, Carlos Augusto Colombo
Publikováno v:
BMC Plant Biology, Vol 18, Iss 1, Pp 1-10 (2018)
Abstract Background The macaúba palm is a novel feedstock for oil production suitable for multiple uses, including as biodiesel and in the food and cosmetic industries. As an efficient alternative, the macaúba palm has limited genomic resources, pa
Externí odkaz:
https://doaj.org/article/b16d2d4adf944952bf52ac548fb7c07e
Publikováno v:
de Carvalho, M, Huser, R & Rubio, R 2023, ' Similarity-based clustering for patterns of extreme values ', Stat, vol. 12, no. 1, e560 . https://doi.org/10.1002/sta4.560
Statistical modelling of the magnitude and the frequency of extreme observations is fundamental for a variety of sciences. In this paper, we develop statistical methods of similarity-based clustering for heteroscedastic extremes, which allow us to gr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ede75b6e6d167a0448c6423b883fae5d
https://doi.org/10.1002/sta4.560
https://doi.org/10.1002/sta4.560
Autor:
Serveh Sharifi Far, Vanda Inácio, Daniel Paulin, Miguel de Carvalho, Nicole H. Augustin, Mike Allerhand, Gail Robertson
Publikováno v:
Sharifi Far, S, Inacio de Carvalho, V, Paulin, D, de Carvalho, M, Augustin, N, Allerhand, M & Robertson, G 2023, ' Consultancy Style Dissertations in Statistics and Data Science: Why and How ', The American Statistician . https://doi.org/10.1080/00031305.2022.2163689
In this article, we chronicle the development of the consultancy style dissertations of the MSc program in Statistics with Data Science at the University of Edinburgh. These dissertations are based on real-world data problems, in joint supervision wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcbfff2363a69ce83927b058b285eab2
https://hdl.handle.net/20.500.11820/b0a9cac9-1ded-40e5-aa90-c1004816eb1a
https://hdl.handle.net/20.500.11820/b0a9cac9-1ded-40e5-aa90-c1004816eb1a
Autor:
Eduardo Jorge Pilau, Lucas Miguel de Carvalho, Gonçalo Amarante Guimarães Pereira, Maria Carolina De Barros Grassi, Mateus Bernabe Fiamenghi, Taicia Pacheco Fill, Marcelo Falsarella Carazzolle, Nicholas Vinícius Silva, Allan J. R. Ferrari, Luis Guilherme Furlan de Abreu
Publikováno v:
Plant Physiology and Biochemistry. 167:504-516
Commercial cultivation of sugarcane is usually carried out by planting culm segments (sett) carrying buds in their internodes. However, this is an inefficient practice due to high sprouting irregularity. In this work, we inspect the first stages of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de0707a97fa9aa652e0a1170fb5b24b5
https://doi.org/10.1016/j.plaphy.2021.08.022
https://doi.org/10.1016/j.plaphy.2021.08.022
Autor:
Miguel de Carvalho, Richard A Parker, Vanda M. Lourenço, Vanda Inacio, Vincent J. Gnanapragasam
Publikováno v:
Statistics in Medicine. 40:5779-5795
Diagnostic tests are of critical importance in health care and medical research. Motivated by the impact that atypical and outlying test outcomes might have on the assessment of the discriminatory ability of a diagnostic test, we develop a robust and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::695c6c9a7cb55e5140021b8788189ca6
https://doi.org/10.1002/sim.9153
https://doi.org/10.1002/sim.9153