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LooplessFluxSampler: an efficient toolbox for sampling the loopless flux solution space of metabolic models
(2024)
Uniform random sampling of mass-balanced flux solutions offers an unbiased appraisal of the capabilities of metabolic networks. Unfortunately, it is impossible to avoid thermodynamically infeasible loops in flux samples ...
Highly Robust and Highly Finite Sample Efficient Estimators for the Linear Model
(Springer, 2015)
In this paper, we propose a new family of robust regression estimators, which we call bounded residual scale estimators (BRS-estimators) which are simultaneously highly robust and highly efficient for small samples with ...
Error estimation in environmental DNA targets quantification due to PCR efficiencies differences between real samples and standards
(Springer, 2013-11)
Nowadays, as in the past, our knowledge of microbiology is limited because of the capacity of available technology tools. In recent decades, molecular techniques are playing a central role in the understanding of the ...
High finite-sample efficiency and robustness based on distance-constrained maximum likelihood
(Elsevier Science, 2015-03)
Good robust estimators can be tuned to combine a high breakdown point and a specified asymptotic efficiency at a central model. This happens in regression with MM- and -estimators among others. However, the finite-sample ...
Finite sample properties of the efficient method of moments
(De Gruyter, 1997)
Gallant and Tauchen (1996) describe an estimation technique, known as Efficient Method of
Moments (EMM), that uses numerical methods to estimate parameters of a structural model. The technique uses
as matching conditions ...
Dogs can detect scat samples more efficiently than humans: an experiment in a continuous Atlantic Forest remnant
(Sociedade Brasileira de Zoologia, 2012-04-01)
Scat-detection dogs have been used to locate feces of rare and elusive species across tropical biomes. However their detection efficiency in relation to human observers has rarely been evaluated. In this study, we evaluated ...