Results 181 to 190 of about 1,928,307 (242)
Estimation of Smoothing Constant of Minimum Variance Searching Optimal Parameters of Weight
, 2009 Nagata, Keiko +3 more
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Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells
FEBS Open Bio, EarlyView.Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim +4 more
wiley +1 more source
FEBS Open Bio, EarlyView.IGFBP4 knockdown (KD) impairs preadipocyte proliferation and is associated with IGF1R protein downregulation and attenuated AKT phosphorylation. The mechanisms by which IGFBP4 KD influences the IGF1R/AKT signaling pathway involve newly synthesized proteins and lysosomal degradation pathways. Created in BioRender.
Yujia Guo +6 more
wiley +1 more source
Estimation of Smoothing Constant of Minimum Variance Searching Optimal Parameters of Weight
, 2012 Nagata, Keiko +3 more
core
Estimation of Smoothing Constant of Minimum Variance and Its Application to Stock Market Price Data
, 2010 Nagata, Keiko +3 more
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Estimation of Smoothing Constant of Minimum Variance With Optimal Parameters of Weight
, 2010 Nagata, Keiko +3 more
core
The Distribution of the Sample Minimum-Variance Frontier [PDF]
Management Science, 2008 In this paper, we present a finite sample analysis of the sample minimum-variance frontier under the assumption that the returns are independent and multivariate normally distributed.
Daniel Smith, Raymond Kan
exaly +5 more sources
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On minimum variance thresholding
Pattern Recognition Letters, 2006Variance-based thresholding methods could be biased from the threshold found by expert and the underlying mechanism responsible for this bias is explored in this paper. An analysis on the minimum class variance thresholding (MCVT) and the Otsu method, which minimizes the within-class variance, is carried out.
Zujun Hou +2 more
openaire +2 more sources
Fast minimum variance deconvolution
ICASSP '84. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Deconvolution is an ill-posed problem and it is well known that a stochastic extension of this otherwise deterministic problem can solve this difficulty. To avoid direct inversion of huge matrices, the signal restoration may be carried out recursively by viewing the estimation problem as a degenerate case of a Kalman filter applied to a static system ...
Guy Demoment +2 more
openaire +2 more sources