Zobrazeno 1 - 10
of 59 175
pro vyhledávání: '"bayesian inference."'
Autor:
Maria Tirronen, Anna Kuparinen
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 12, Pp 2373-2384 (2024)
Abstract Differential equation models are powerful tools for predicting biological systems, capable of projecting far into the future and incorporating data recorded at arbitrary times. However, estimating these models' parameters from observations c
Externí odkaz:
https://doaj.org/article/88b9f7e8d1264d4d842cd44c6a0fba36
Autor:
Brandon Robinson, Philippe Bisaillon, Jodi D. Edwards, Tetyana Kendzerska, Mohammad Khalil, Dominique Poirel, Abhijit Sarkar
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 4, Pp 1224-1249 (2024)
We consider state and parameter estimation for compartmental models having both time-varying and time-invariant parameters. In this manuscript, we first detail a general Bayesian computational framework as a continuation of our previous work. Subsequ
Externí odkaz:
https://doaj.org/article/50ec0fe45886498cacfa9562f57581b0
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 11, Pp 2087-2100 (2024)
Abstract Modern methods for quantifying, predicting and mapping species distributions have played a crucial part in biodiversity conservation. Occupancy models have become a popular choice for analysing species occurrence data due to their ability to
Externí odkaz:
https://doaj.org/article/e66342dbb0f84ffca2e5cc2097d69223
Autor:
Bryan O. Nyawanda, Sammy Khagayi, Eric Ochomo, Godfrey Bigogo, Simon Kariuki, Stephen Munga, Penelope Vounatsou
Publikováno v:
International Journal of Health Geographics, Vol 23, Iss 1, Pp 1-15 (2024)
Abstract Background The burden of malaria in Kenya was showing a declining trend, but appears to have reached a plateau in recent years. This study estimated changes in the geographical distribution of malaria parasite risk in the country between the
Externí odkaz:
https://doaj.org/article/5b01956c409c4f91b99c2ebbfe608145
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-28 (2024)
Abstract In the past two decades, genomics has advanced significantly, with single-cell RNA-sequencing (scRNA-seq) marking a pivotal milestone. ScRNA-seq provides unparalleled insights into cellular diversity and has spurred diverse studies across mu
Externí odkaz:
https://doaj.org/article/e5ac32a1a40a433182d8431c577780c9
Publikováno v:
Leida xuebao, Vol 13, Iss 5, Pp 1092-1108 (2024)
Due to the short wavelength of millimeter-wave, active electrical scanning millimeter-wave imaging system requires large imaging scenarios and high resolutions in practical applications. These requirements lead to a large uniform array size and high
Externí odkaz:
https://doaj.org/article/f8e0f0257b9c4600abe7d7e3a80947e8
Publikováno v:
Data Technologies and Applications, 2024, Vol. 58, Issue 4, pp. 608-631.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-03-2023-0074
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-16 (2024)
Abstract A kernel interpolation method for the acoustic transfer function (ATF) between regions constrained by the physics of sound while being adaptive to the data is proposed. Most ATF interpolation methods aim to model the ATF for fixed source by
Externí odkaz:
https://doaj.org/article/d00a5e9dc9d24efb8e2b893cbae9f12b
Autor:
Toshka Coleman, Paul Mokilane, Mapitsi Rangata, Jenny Holloway, Nicolene Botha, Renee Koen, Nontembeko Dudeni-Tlhone
Publikováno v:
Crime Science, Vol 13, Iss 1, Pp 1-14 (2024)
Abstract Crime prediction serves as a valuable tool for deriving insightful information that can inform policy decisions at both operational and strategic tiers. This information can be used to identify high-crime areas, and optimise resource allocat
Externí odkaz:
https://doaj.org/article/3076ab44008b4a2d96789592380650e6
Autor:
Sergey Dolgov, Dmitry Savostyanov
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-26 (2024)
Abstract We consider a problem of inferring contact network from nodal states observed during an epidemiological process. In a black-box Bayesian optimisation framework this problem reduces to a discrete likelihood optimisation over the set of possib
Externí odkaz:
https://doaj.org/article/9323d51c8f8f4bdd85d9a7d3614c2643