Modeling RBE-weighted dose variations in irregularly moving abdominal targets treated with carbon ion beams.
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14135
Abstract: PURPOSE To model 4-Dimensional (4D) Relative Biological Effectiveness (RBE)-weighted dose variations in abdominal lesions treated with scanned carbon ion beam in case of irregular breathing motion. METHODS The proposed method, referred to as bioWED method,… read more here.
Keywords: motion; rbe; rbe weighted; estimation error ... See more keywords
Backtesting and estimation error: value-at-risk overviolation rate
Sign Up to like & getrecommendations! Published in 2020 at "Empirical Economics"
DOI: 10.1007/s00181-020-01905-4
Abstract: Financial institutions and regulators use value-at-risk (VaR) and related measures as a tool for financial risk management. It is therefore critical to appropriately assess the quality of VaR forecasts and reporting. The VaR estimation error… read more here.
Keywords: value risk; risk; overviolation; estimation error ... See more keywords
Real-time estimation error-guided active learning Kriging method for time-dependent reliability analysis
Sign Up to like & getrecommendations! Published in 2020 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2019.06.035
Abstract: Abstract Time-dependent reliability analysis using surrogate model has drawn much attention for avoiding the high computational burden. But the surrogate training strategies of existing methods do not directly consider the estimation error of failure probability,… read more here.
Keywords: time; estimation error; error; probability ... See more keywords
The impacts of underenumeration and age estimation error on the D0–14/D ratio and palaeodemographic measures
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Archaeological Science: Reports"
DOI: 10.1016/j.jasrep.2018.10.033
Abstract: Abstract The objectives of this study were to evaluate the impacts of infant and elderly underenumeration and age estimation error on previously reported measures derived from the D0–14/D ratio, specifically total fertility rate and the… read more here.
Keywords: estimation error; age estimation; error; age ... See more keywords
Novel algorithms for reducing bladder volume estimation error caused by scanning positions
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Computer Mathematics"
DOI: 10.1080/00207160.2016.1184260
Abstract: ABSTRACT Bladder volume is an important and useful indicator to accurately diagnosis urinary diseases. Using the mechanical probe with single vibration source to estimate bladder volume is low-priced and portable. It also contains fast computation… read more here.
Keywords: bladder volume; volume; scanning positions; volume estimation ... See more keywords
Overestimation associated with walking and balance function in individuals diagnosed with a stroke.
Sign Up to like & getrecommendations! Published in 2023 at "Physiotherapy theory and practice"
DOI: 10.1080/09593985.2023.2175189
Abstract: BACKGROUND An estimation error is the difference between motor imagery and actual motor time. Previous studies have reported that overestimation (motor imagery time < actual motor time) is related to physical functions in healthy individuals.… read more here.
Keywords: estimation error; overestimation; individuals diagnosed; diagnosed stroke ... See more keywords
The Perfect Storm: Gene Tree Estimation Error, Incomplete Lineage Sorting, and Ancient Gene Flow Explain the Most Recalcitrant Ancient Angiosperm Clade, Malpighiales.
Sign Up to like & getrecommendations! Published in 2020 at "Systematic biology"
DOI: 10.1093/sysbio/syaa083
Abstract: The genomic revolution offers renewed hope of resolving rapid radiations in the Tree of Life. The development of the multispecies coalescent (MSC) model and improved gene tree estimation methods can better accommodate gene tree heterogeneity… read more here.
Keywords: gene; estimation error; tree estimation; gene tree ... See more keywords
Robustness of Divergence Time Estimation Despite Gene Tree Estimation Error: A Case Study of Fireflies (Coleoptera: Lampyridae).
Sign Up to like & getrecommendations! Published in 2024 at "Systematic biology"
DOI: 10.1093/sysbio/syae065
Abstract: Genomic data has become ubiquitous in phylogenomic studies, including divergence time estimation, but provide new challenges. These challenges include, amongst others, biological gene tree discordance, methodological gene tree estimation error, and computational limitations on performing… read more here.
Keywords: tree estimation; gene tree; estimation error; divergence ... See more keywords
Fault Detection of WECSs Based on Improved SVO and Fourier Transformation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3397948
Abstract: This paper studies the application of estimation error signals frequency domain analysis in the fault detection field. The estimation error signals of actuators are derived from the improved set-valued observer and the benchmark mathematical model… read more here.
Keywords: estimation error; improved svo; fault detection; error signals ... See more keywords
Optimal Adaptive Parameter Estimation With Online Varying Learning Gain
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2024.3520676
Abstract: It has been well known that the learning gain plays a crucial role in the adaptive parameter estimation (APE) for guaranteeing fast convergence and robustness. However, the tuning of learning gains in the existing methods… read more here.
Keywords: estimation error; adaptive parameter; parameter estimation; estimation ... See more keywords
Performance Analysis of Distributed Filtering Under Misspecified Noise Covariances
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2025.3565956
Abstract: This article systematically investigates the performance of the consensus-based distributed filter under misspecified noise covariances. First, we introduce four quantities: the nominal filter parameter, the nominal estimation error covariance, the ideal filter parameter, and the… read more here.
Keywords: misspecified noise; estimation error; error covariance; covariance ... See more keywords