Results 11 to 20 of about 340,085 (100)
, 2007 This paper presents a method to suppress the bias artifact, also known as RF-inhomogeneity, in Magnetic Resonance Imaging (MRI). This artifact produces illumination variations due to magnetic field fluctuations of the device. In the latest years many works have been devoted to face this problem.
Edoardo Ardizzone +3 more
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, 2023 We selected the land area over East Asia (100°E–150°E and 20°N–50°N) as the analysis domain, which includes Korea, Japan, China (except for the western arid region), and parts of Mongolia and Russia. The major analysis variables are the daily mean surface temperature (TAS) and daily precipitation (PR).
Changyong Park +9 more
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Analysis of compositions of microbiomes with bias correction [PDF]
Nature Communications, 2020 AbstractDifferential abundance (DA) analysis of microbiome data continues to be a challenging problem due to the complexity of the data. In this article we define the notion of “sampling fraction” and demonstrate a major hurdle in performing DA analysis of microbiome data is the bias introduced by differences in the sampling fractions across samples ...
Huang Lin, Shyamal Das Peddada
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Bias Correction in Multiple Systems Estimation [PDF]
Journal of Official StatisticsIf part of a population is hidden but two or more samples are available that each cover parts of this population, multiple systems estimation can be applied to estimate the size of this population. A problem is that these estimates suffer from finite-sample bias that can be substantial in case of a small sample or a small population size.
Daan B. Zult +2 more
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Small sample bias correction or bias reduction?
Communications in Statistics - Simulation and Computation, 2019 Many problems in biomedical and other sciences are subject to biased estimates (maximum likelihood or of similar types). In two seminal papers Cox and Snell (1968) and Firth (1993) deal with first order bias of maximum likelihood estimates. Cox and Snell obtain a correction term that corrects, approximately, first order bias and Firth uses an ...
Xuemao Zhang, Sudhir Paul, You-Gan Wang
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AdamD: Improved bias-correction in Adam
CoRR, 2021 Here I present a small update to the bias-correction term in the Adam optimizer that has the advantage of making smaller gradient updates in the first several steps of training. With the default bias-correction, Adam may actually make larger than requested gradient updates early in training.
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Correction of ‘Bias factor, maximum bias and the E-value’ [PDF]
International Journal of Epidemiology, 2021 Arvid Sjölander, Tyler J VanderWeele
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Correcting Bias, or Biased Corrections? [PDF]
Obesity, 2008 Katherine M, Flegal +3 more
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Adaptive bias correction for improved subseasonal forecasting. [PDF]
Nat Commun, 2023 Mouatadid S +6 more
europepmc +1 more source
Sensitivity analysis of selection bias: a graphical display by bias-correction index. [PDF]
PeerJ, 2023 Chung PC, Lin IF.
europepmc +1 more source