Zobrazeno 1 - 10
of 6 188
pro vyhledávání: '"Model Uncertainty"'
Autor:
Shuhong Qin, Hong Wang, Xiuneng Li, Jay Gao, Jiaxin Jin, Yongtao Li, Jinbo Lu, Pengyu Meng, Jing Sun, Zhenglin Song, Petar Donev, Zhangfeng Ma
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 5, Pp 1475-1488 (2024)
There is a growing interest in leveraging LiDAR-generated forest Aboveground Biomass (LG-AGB) data as a reference to retrieve AGB from satellite observations. However, the biases arising from the upscaling process and the impact of the sampling strat
Externí odkaz:
https://doaj.org/article/8fd104c63c64403a9403478e3cf09aea
Publikováno v:
China Finance Review International, 2024, Vol. 14, Issue 2, pp. 228-268.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/CFRI-07-2023-0178
Publikováno v:
Essays in Honor of Subal Kumbhakar
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:
Results in Engineering, Vol 23, Iss , Pp 102726- (2024)
Despite that the safety of cars is continuously increasing, improving the safety of road transportation remains a key issue of modern society. The design of suitable road restraint systems plays an important role. As the tests of barriers are technic
Externí odkaz:
https://doaj.org/article/d6f79a28a62643a4816785a08723683a
Autor:
Charles Onyutha
Publikováno v:
Hydrology Research, Vol 55, Iss 3, Pp 319-335 (2024)
Although hydrological model forecasts aid water management decisions, they normally have predictive uncertainties. Generalized likelihood uncertainty estimation (GLUE) is popular for constructing predictive uncertainty bounds (PUBs). GLUE is based on
Externí odkaz:
https://doaj.org/article/f308aa3ea8494b3090382e85f79d17fb
Autor:
Theodore Spaide, PhD, Anand E. Rajesh, MD, Nayoon Gim, Marian Blazes, MD, Cecilia S. Lee, MD, MS, Niranchana Macivannan, PhD, Gary Lee, PhD, MEng, Warren Lewis, MS, Ali Salehi, PhD, Luis de Sisternes, PhD, Gissel Herrera, MD, Mengxi Shen, MD, PhD, Giovanni Gregori, PhD, Philip J. Rosenfeld, MD, PhD, Varsha Pramil, MD, MS, Nadia Waheed, MD, MPH, Yue Wu, PhD, Qinqin Zhang, PhD, Aaron Y. Lee, MD, MSCI
Publikováno v:
Ophthalmology Science, Vol 5, Iss 1, Pp 100587- (2025)
Purpose: To apply methods for quantifying uncertainty of deep learning segmentation of geographic atrophy (GA). Design: Retrospective analysis of OCT images and model comparison. Participants: One hundred twenty-six eyes from 87 participants with GA
Externí odkaz:
https://doaj.org/article/002b6b730dab49839e432be2bebdf3fa
Publikováno v:
Water Research X, Vol 25, Iss , Pp 100264- (2024)
Smart meters such as advanced metering infrastructure (AMI) can significantly improve identifying realistic sized leaks in water distribution networks (WDNs). However, to date, detection/localization methods for AMI systems are extremely limited. In
Externí odkaz:
https://doaj.org/article/ee5f2de0eac3424e878737db7d8c435a
Publikováno v:
Latin American Journal of Central Banking, Vol 5, Iss 4, Pp 100132- (2024)
We study for a benchmark small open emerging economy an optimal robust monetary policy à la Hansen and Sargent (2003) considering additive model uncertainty. The robust control approach supposes that economic agents are not able to assign probabilit
Externí odkaz:
https://doaj.org/article/b26a1844d3594b15b4f0299817dff9a4
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