EstimatesAsymptotic normalityComputationsOrthogonalityVariationsStandard deviationRandom variablesBayes least squares linear (BLSL) estimators were introduced by Whittle and described explicitly and further developed by Hartigan. The method was applied to estimation of coefficients of orthogonal expansions of ...
This approach estimates the contribution of measured deterministic factors to the metacommunity assembly process and the importance of past events in altering the present environment. We classified all environmental variables into what we term “present parameters,”“sedimentary features,” and “historical...
The condition number is with respect to the least-squares coefficient matrix and 2-norms. It depends on three quantities each of which can contribute ill-conditioning. The literature presents several estimates for this condition number with varying results; even standard reference texts contain serious...
we derive a least-squares criterion and propose an alternating least-squares algorithm to retrieve simultaneously all spread values of concentric circles. Experiments performed on hand-made and real-world images show that the proposed methods outperform the Hough transform ...
Kool, van Hoof, and Welling (Citation2019) use the REINFORCE method with a baseline in routing problems to reduce the variance of the estimates. With reduced hyper-parameter tuning, the method shows good performance compared to benchmarks. However, even if REINFORCE has good theoretical ...
Henseler J, Ringle CM, Sinkovics RR: The use of partial least squares path modeling in international marketing. Adv Int Market. 2009, 20: 277-319. Google Scholar Fornell C, Larcker DF: Evaluating structural equation models with unobservable variables and measurement error. J Market Res. 1981...
Logical Explanations & Visualizations of Estimates in Linear mixed models LMM: Linear mixed model N: Necessary OLS: Ordinary least squares OR: Odds ratio PRISMA: Preferred Reporting Items for Systematic reviews and Meta-Analyses ROC: Receiver operating characteristic S: Suggested STROBE: St...
Marginal density distributions of coefficient estimates of the six most relevant explanatory variables: the blue line represents the marginal density; conditional expected values (Cond.EV) are displayed in red solid line, the median in green solid line. The red dotted lines represent the double condi...
(2010). Trade does promote peace: New simultaneous estimates of the reciprocal effects of trade and conflict. Journal of Peace Research, 47(6), 763–774. https://doi.org/10.1177/0022343310385995 (Open in a new window)Web of Science ®(Open in a new window)Google Scholar...
Their method, paired with a least-squares minimization algorithm provided significantly more accurate estimates of structural parameters and their uncertainties than the standard analysis17. In this paper, we introduce and employ an alternative and unique Bayesian statistical approach to solve the ...