bFaculty of Computer ScienceZhihua Cai & Dianhong WangcDepartment of Electronic EngineeringTaylor & Francis GroupJournal of Experimental & Theoretical Artificial IntelligenceJiang, L.; Zhang, H.; Cai, Z.; Wang,
A widely used approach is to only consider the ordinary least-squares estimated differential expression, often referred to as the log fold-change, here abbreviated as FC, or as the average M-value. In the present paper, the ranking of the genes imposed by this method will be included in co...
With the results from this work, the weighted average haz- ard ratio therefore becomes a very attractive new effect measure for clinical trials with composite endpoints. Additional files Additional file 1: The additional file contains further simulation results with the distributions described in this ...
An estimator analogous to (5) can be obtained as a weighted average of I (Y j < Xi ) when both Xi and Y j are observed, (δix = 1) and (δ y j = 1), and I (Yi < X j) when both Xj and Yi are observed, (δiy = 1) and (δ x j = 1). The weights are the ...
Herein, one is attempting to estimate the average joint effect of the treatments. Thus, IPTW estimation is attempting to mimic a situation in which each concurrent treatment is randomized individually. This requires that one construct a model of the probability that a patient would receive any ...
in terms of complexity (since the average degree is always\(\left\langle k \right\rangle\) = n–1 and most of other metrics, such as average path length, network diameter, graph density, and clustering coefficient are equal to one), we filter the setEof the ESG connections, aiming...
The research of Soo Hak Sung is supported by the Pai Chai University research grant in 2020.References (27) Z.D. Bai et al. Marcinkiewicz strong laws for linear statistics Stat. Probab. Lett. (2000) P. Chen et al. Limiting behaviour of moving average processes under φ-mixing assumption ...
densityweightedleastsquares(NeweyandRuud,1984),averagederivativeestimation(HärdleandStoker, 1993),estimatorsofwillingness-to-paymodelsandgeneralestimatorsofmomentsfrombinomialdata(Lew- bel,1997,McFadden,1999,Lewbel,LintonandMcFadden,2002),semiparametricestimatorsofconsumer ...
n. Repeat evaluation on all spatial weighting matrix by comparing score of average relative root mean squares error (ARRMSE) and predictor control = 0.05 for each combination W, m and . 3.2 Case Study The case study in this study uses data of SUSENAS year 2010 and PODES 2011 issued by ...
(2012b). Weighted average of one- dependence estimators? Journal of Experimental and Theoretical Artificial Intelligence, 24, 219-230.L. Jiang, H. Zhang, Z. H. Cai, and D. Wang, "Weighted average of one-dependence estimators," Journal of Experimental and Theoretical Artificial Intelligence, ...