Random sampling and machine learning to understand good decompositions
Sign Up to like & getrecommendations! Published in 2020 at "Annals of Operations Research"
DOI: 10.1007/s10479-018-3067-9
Abstract: Motivated by its implications in the development of general purpose solvers for decomposable Mixed Integer Programs (MIPs), we address a fundamental research question, that is how to exploit data-driven techniques to obtain automatic decomposition methods.… read more here.
Keywords: data driven; machine learning; decomposition; random sampling ... See more keywords
Efficient determination of axon number in the optic nerve: A stereological approach.
Sign Up to like & getrecommendations! Published in 2019 at "Experimental eye research"
DOI: 10.1016/j.exer.2019.107710
Abstract: Quantifying the number of axons in the optic nerve is of interest in many research questions. Here, we show that a stereological method allows simple, efficient, precise and unbiased determination of the total axon number… read more here.
Keywords: determination; random sampling; optic nerve; number ... See more keywords
Fast 3D time-domain airborne EM forward modeling using random under-sampling
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2021.104357
Abstract: Abstract The high sampling rate of airborne electromagnetic (AEM) systems can create huge data volumes, causing major challenges for three-dimensional (3D) electromagnetic modeling and inversions and constraining the practical applicability of AEM. Rapid and accurate… read more here.
Keywords: forward modeling; random sampling; time domain; modeling using ... See more keywords
Random variation drives a critical bias in the comparison of healthcare-associated infections.
Sign Up to like & getrecommendations! Published in 2023 at "Infection control and hospital epidemiology"
DOI: 10.1017/ice.2022.288
Abstract: OBJECTIVE To evaluate random effects of volume (patient days or device days) on healthcare-associated infections (HAIs) and the standardized infection ratio (SIR) used to compare hospitals. DESIGN A longitudinal comparison between publicly reported quarterly data… read more here.
Keywords: random sampling; associated infections; healthcare associated; variation ... See more keywords
Non-random sampling leads to biased estimates of transcriptome association
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-62575-x
Abstract: Integration of independent data resources across -omics platforms offers transformative opportunity for novel clinical and biological discoveries. However, application of emerging analytic methods in the context of selection bias represents a noteworthy and pervasive challenge.… read more here.
Keywords: non random; sampling leads; biased estimates; leads biased ... See more keywords
Random sampling of the Protein Data Bank: RaSPDB
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-03615-y
Abstract: A novel and simple procedure (RaSPDB) for Protein Data Bank mining is described. 10 PDB subsets, each containing 7000 randomly selected protein chains, are built and used to make 10 estimations of the average value… read more here.
Keywords: random sampling; data bank; protein; raspdb ... See more keywords
Application of Statistical Random Sampling and Bayesian Updating in Planning for Terra-Cotta Façade Inspection
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Architectural Engineering"
DOI: 10.1061/(asce)ae.1943-5568.0000237
Abstract: AbstractIn this paper, an application of statistical random sampling and probabilistic Bayesian updating for planning building facade inspection is introduced. The application method presented is specifically for facades made up of terra-cotta blocks, for which… read more here.
Keywords: random sampling; application statistical; application; statistical random ... See more keywords
Combination of sensitivity-based and random sampling-based methodologies for efficient uncertainty quantification calculations with control variates method
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Nuclear Science and Technology"
DOI: 10.1080/00223131.2019.1630022
Abstract: ABSTRACT A combined method of the sensitivity-based and random sampling-based methodologies is proposed for efficient uncertainty quantification calculations. The proposed method is based on the control variates (CV) method, in which a mean value of… read more here.
Keywords: sensitivity based; random sampling; proposed method; based methodologies ... See more keywords
Infants use emotion to infer intentionality from non-random sampling events
Sign Up to like & getrecommendations! Published in 2022 at "Cognition and Emotion"
DOI: 10.1080/02699931.2022.2084040
Abstract: ABSTRACT Infants use statistical information in their environment, as well as others’ emotional communication, to understand the intentions of social partners. However, rarely do researchers consider these two sources of social information in tandem. This… read more here.
Keywords: random sampling; infants use; emotion; intentionality ... See more keywords
An exponential family of median based estimators for mean estimation with simple random sampling scheme
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1725828
Abstract: Abstract Recently, Irfan et al. developed ratio-type estimators for population mean estimation with simple random sampling (SRS) scheme, based on known median of a study variable and an auxiliary (supplementary) variable. In this study, adapting… read more here.
Keywords: mean estimation; random sampling; estimation simple; simple random ... See more keywords
A Novel Particle Filter Based on Hybrid Deterministic and Random Sampling
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2879470
Abstract: Particle filters are vital tools to solve the nonlinear/non-Gaussian filtering problems. However, it suffers from the problems of sample degeneracy and impoverishment. This paper proposes a framework of particle filter with a hybrid sampling strategy,… read more here.
Keywords: deterministic random; random sampling; particle; particle filter ... See more keywords