Results 51 to 60 of about 2,319,042 (224)
Treatment effect estimation with covariate measurement error [PDF]
, 2009 This paper investigates the effect that covariate measurement error has on a conventional treatment effect analysis built on an unconfoundedness restriction that embodies conditional independence restrictions in which there is conditioning on error free ...
Battistin, E., Chesher, A.
core
MR-BART: Multi-Rate Available Bandwidth Estimation in Real-Time
, 2008 In this paper, we propose Multi-Rate Bandwidth Available in Real Time (MR-BART) to estimate the end-to-end Available Bandwidth (AB) of a network path. The proposed scheme is an extension of the Bandwidth Available in Real Time (BART) which employs multi ...
Babak Seyfe +15 more
core +1 more source
Journal of Computational and Applied Mathematics, 1994 Let \(R[f]\) be the remainder of some linear approximation method (e.g. polynomial or spline approximation, numerical integration or differentiation), having estimates of the form \(| R[f ]|\leq \rho_ i\| f^{(i)} \|_{L^ p[a,b]}\), \(i=m,\dots, r\), for some \(m\) and \(r\) with \(0\leq m\leq r-1\). In many cases, \(\rho_ m\) and \(\rho_ r\), are known,
openaire +2 more sources
Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer
Molecular Oncology, EarlyView.PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta +10 more
wiley +1 more source
Model selection and error estimation [PDF]
We study model selection strategies based on penalized empirical loss minimization. We point out a tight relationship between error estimation and data-based complexity penalization: any good error estimate may be converted into a data-based penalty ...
Gábor Lugosi +2 more
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Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Robustness of Adaptive Measurement of Change to Item Parameter Estimation Error. [PDF]
Educ Psychol Meas, 2022 Cooperman AW, Weiss DJ, Wang C.
europepmc +1 more source
, 2018 In this article we perform an asymptotic analysis of Bayesian parallel density estimators which are based on logspline density estimation. The parallel estimator we introduce is in the spirit of a kernel density estimator introduced in recent studies. We
Conlon, Erin +2 more
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On a posteriori error estimates [PDF]
Mathematics of Computation, 1977 Consider a sequence { x n } n = 0 ∞ \{ {x_n}\} _{n = 0}^\infty in a normed space X converging to some x ∗ ∈ X ...
openaire +1 more source
Molecular Oncology, EarlyView.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source