Zobrazeno 1 - 10
of 11 150
pro vyhledávání: '"Bayesian model"'
Publikováno v:
International Journal of Manpower, 2024, Vol. 45, Issue 10, pp. 115-143.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJM-11-2023-0705
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Current academic research on fitting the volume of urban theft crimes at a macro size is limited, especially from the urban functionality perspective. Given this gap, this study utilizes a Bayesian model to conduct a fitting analysis of thef
Externí odkaz:
https://doaj.org/article/fc5978f356834b57abafd97f280b1b39
Autor:
Usman Ahmed, Zheng Jiangbin, Ahmad Almogren, Sheharyar Khan, Muhammad Tariq Sadiq, Ayman Altameem, Ateeq Ur Rehman
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-34 (2024)
Abstract Cybersecurity threats have become more worldly, demanding advanced detection mechanisms with the exponential growth in digital data and network services. Intrusion Detection Systems (IDSs) are crucial in identifying illegitimate access or an
Externí odkaz:
https://doaj.org/article/a701769d02354add9e0f15223fd667b4
Autor:
Haiyang Li, Xing Fu, Mingtao Liu, Jiaxi Chen, Wenhan Cao, Zhiman Liang, Zhangkai J. Cheng, Baoqing Sun
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Lung cancer (LC), a paramount global life-threatening condition causing significant mortality, is most commonly characterized by its subtype, lung adenocarcinoma (LUAD). Concomitant with LC, pulmonary fibrosis (PF) and interstitia
Externí odkaz:
https://doaj.org/article/fa9dd3b8905c4f47b83dd09e408271c5
Publikováno v:
International Soil and Water Conservation Research, Vol 12, Iss 4, Pp 868-884 (2024)
Accurate soil organic carbon storage (SOCS) estimation is crucial for sustaining ecosystem health and mitigating climate change impacts. This study investigated the accuracy and variability of SOCS predictions, focusing on the role of pedotransfer fu
Externí odkaz:
https://doaj.org/article/b31d244c61fe4677adb44429427945bd
Publikováno v:
Infectious Disease Modelling, Vol 9, Iss 4, Pp 1175-1197 (2024)
Upon researching predictive models related to West Nile virus disease, it is discovered that there are numerous parameters and extensive information in most models, thus contributing to unnecessary complexity. Another challenge frequently encountered
Externí odkaz:
https://doaj.org/article/f32ea90e28774b5d999e0c0fcc40fc50
Autor:
Hyemin Han
Publikováno v:
Stats, Vol 7, Iss 3, Pp 732-744 (2024)
Methodological experts suggest that psychological and educational researchers should employ appropriate methods for data-driven model exploration, such as Bayesian Model Averaging and regularized regression, instead of conventional hypothesis-driven
Externí odkaz:
https://doaj.org/article/ba6274cebfed4f5fbe37c1a4cc61b986
Publikováno v:
Underground Space, Vol 16, Iss , Pp 79-93 (2024)
Numerous analytical models have been developed to predict ground deformations induced by tunneling, which is a critical issue in tunnel engineering. However, the accuracy of these predictions is often limited by errors and uncertainties resulting fro
Externí odkaz:
https://doaj.org/article/4ceb0bc4398042629b0b6d5a9af3992d
Autor:
Maria Paula Bonel
Publikováno v:
Cuadernos de Economía, Vol 43, Iss 92 (2024)
This paper states that there are exchange rate forecasting gains when combining in-sample data from different models based on economic theory. Data combination is performed using Bayesian model averaging (BMA). Using pooled data by group of countries
Externí odkaz:
https://doaj.org/article/1f6f1753dd4041738f3c00559623a0e1
Publikováno v:
Ecosphere, Vol 15, Iss 10, Pp n/a-n/a (2024)
Abstract Climate change is motivating a reassessment of how seeds are selected for reforestation, as rapid environmental change can lead to local maladaptation in trees. Genetic association studies and past seed source climate both have the potential
Externí odkaz:
https://doaj.org/article/b54cf69f6c5346ce85ebe2886d7ac9fd