Results 61 to 70 of about 2,973,401 (293)

Bayesian Model Averaging and Prior Sensitivity in Stochastic Frontier Analysis

Econometrics, 2020
This paper discusses Bayesian model averaging (BMA) in Stochastic Frontier Analysis and investigates inference sensitivity to prior assumptions made about the scale parameter of (in)efficiency. We turn our attention to the “standard” prior specifications
Kamil Makieła, Błażej Mazur
doaj   +1 more source

Probabilistic Models for the Shear Strength of RC Deep Beams

Applied Sciences, 2023
A new shear strength determination of reinforced concrete (RC) deep beams was proposed by using a statistical approach. The Bayesian–MCMC (Markov Chain Monte Carlo) method was introduced to establish a new shear prediction model and to improve seven ...
Zhenjun Li, Xi Liu, Dawei Kou, Yi Hu, Qingrui Zhang, Qingxi Yuan   +5 more
doaj   +1 more source

Robustness and performance trade-offs in control design for flexible structures [PDF]

, 1994
Linear control design models for flexible structures are only an approximation to the “real” structural system. There are always modeling errors or uncertainty present.
Balas, Gary J., Doyle, John C.
core   +1 more source

Clinical Characteristics and Prognostic Risk Factors for Pediatric B‐Cell Lymphoblastic Lymphoma: A Multicenter Retrospective Cohort Study for China Net Childhood Lymphoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background B‐cell lymphoblastic lymphoma (B‐LBL) represents a rare variety of non‐Hodgkin lymphoma, with limited research on its biology, progression, and management. Methods A retrospective analysis was performed on the clinical characteristics of 256 patients aged ≤18 years who received treatment under the China Net Childhood Lymphoma (CNCL)‐
Zhijuan Liu, Jian Wang, Ling Jin, Yanlong Duan, Fu Li, Yueping Jia, Leping Zhang, Xiaojun Yuan, Wei Liu, Ying Liu, Ansheng Liu, Mincui Zheng, Yunpeng Dai, Lian Jiang, Lirong Sun, Xiaowen Zhai, Rong Liu, Chunju Zhou, Zifen Gao, Yonghong Zhang, Xiaomei Yang   +20 more
wiley   +1 more source

Hands-on MPC Tuning for Industrial Applications [PDF]

Bulletin of the Polish Academy of Sciences: Technical Sciences, 2019
This paper proposes a practical tuning of closed loops with model based predictive control. The data assumed to be known from the process is the result of the bump test commonly applied in industry and known in engineering as step response data.
C. Ionescu, D. Copot
doaj   +1 more source

An Adaptive Tracking-Extended Kalman Filter for SOC Estimation of Batteries with Model Uncertainty and Sensor Error

Energies, 2022
Accurate state of charge (SOC) plays a vital role in battery management systems (BMSs). Among several developed SOC estimation methods, the extended Kalman filter (EKF) has been extensively applied.
Deng Ma, Kai Gao, Yutao Mu, Ziqi Wei, Ronghua Du   +4 more
doaj   +1 more source

Effects of precipitation uncertainty on discharge calculations for main river basins [PDF]

, 2009
This study quantifies the uncertainty in discharge calculations caused by uncertainty in precipitation input for 294 river basins worldwide. Seven global gridded precipitation datasets are compared at river basin scale in terms of mean annual and ...
Biemans, H., Gerten, D., Hutjes, R.W.A., Kabat, P., Rost, S.   +4 more
core   +3 more sources

Dasymetric Modeling and Uncertainty [PDF]

Annals of the Association of American Geographers, 2013
Dasymetric models increase the spatial resolution of population data by incorporating related ancillary data layers. The role of uncertainty in dasymetric modeling has not been fully addressed as of yet. Uncertainty is usually present because most population data are themselves uncertain, and/or the geographic processes that connect population and the ...
Nagle, Nicholas N., Buttenfield, Barbara P., Leyk, Stefan, Spielman, Seth   +3 more
openaire   +2 more sources

Predicting the Future Burden of Renal Replacement Therapy in Türkiye Using National Registry Data and Comparative Modeling Approaches

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic kidney disease is a growing public health problem worldwide, and the number of patients requiring renal replacement therapy is steadily increasing. Türkiye has experienced a similar rise in both the incidence and prevalence of renal replacement therapy over the past decades; however, national‐level projections of future ...
Arzu Akgül, Neriman Sıla Koç, Berrak Itır Aylı   +2 more
wiley   +1 more source

Improving Re-Identification by Estimating and Utilizing Diverse Uncertainty Types for Embeddings

Algorithms
In most re-identification approaches, embedding vectors are compared to identify the best match for a given query. However, this comparison does not take into account whether the encoded information in the embedding vectors was extracted reliably from ...
Markus Eisenbach, Andreas Gebhardt, Dustin Aganian, Horst-Michael Gross   +3 more
doaj   +1 more source