Zobrazeno 1 - 10
of 6 328
pro vyhledávání: '"model averaging"'
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
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
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Propensity scores (PS) are typically evaluated using balance metrics that focus on covariate balance, often without considering their predictive power for the outcome. This approach may not always result in optimal bias reduction
Externí odkaz:
https://doaj.org/article/a1ad40bb81994a98a41dddc5f38d9563
Publikováno v:
Essays in Honor of Subal Kumbhakar
Autor:
Florian Huber, Volker Steinhage
Publikováno v:
Geomatics, Vol 4, Iss 3, Pp 286-310 (2024)
In the field of geomatics, artificial intelligence (AI) and especially machine learning (ML) are rapidly transforming the field of geomatics with respect to collecting, managing, and analyzing spatial data. Feature selection as a building block in ML
Externí odkaz:
https://doaj.org/article/2d275d21a99d45dd8bbdff30cbd9daff
Autor:
Xianglin Zhang, Jie Xue, Songchao Chen, Zhiqing Zhuo, Zheng Wang, Xueyao Chen, Yi Xiao, Zhou Shi
Publikováno v:
Journal of Integrative Agriculture, Vol 23, Iss 8, Pp 2820-2841 (2024)
Faced with increasing global soil degradation, spatially explicit data on cropland soil organic matter (SOM) provides crucial data for soil carbon pool accounting, cropland quality assessment and the formulation of effective management policies. As a
Externí odkaz:
https://doaj.org/article/0bc9d8e011524784a7f8689f149dcc30
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
Publikováno v:
Financial Innovation, Vol 10, Iss 1, Pp 1-29 (2024)
Abstract This study examines the relationship between macroeconomic variables and stock price indices of four prominent OPEC oil-exporting members. Bayesian model averaging (BMA) and regularized linear regression (RLR) are employed to address uncerta
Externí odkaz:
https://doaj.org/article/ed3b3d98613846f0bf175f9572ef0afb
Autor:
Xiaowei Zhang, Junliang Li
Publikováno v:
AIMS Mathematics, Vol 9, Iss 6, Pp 16392-16421 (2024)
Treatment effects with heterogeneity and heteroskedasticity are widely studied and applied in many fields, such as statistics and econometrics. The conditional average treatment effect provides an excellent measure of the heterogeneous treatment effe
Externí odkaz:
https://doaj.org/article/ebc4f476be5a4d2f88899b3979d107dc