A Hybrid Selection Approach Based on Advanced Antenna Technologies for Cellular LTE-A

In this paper we address the problem of selecting important predictors from some larger set of candidate predictors. Standard techniques are limited by lack of power and high false positive rates. A Bayesian variable selection approach used widely in biostatistics, stochastic search variable selection, can be used instead to combat these issues by accounting for uncertainty in the other predictors of the model. In this paper we present Bayesian variable selection to aid researchers facing this common scenario, along with an online application (https://ssvsforpsych.shinyapps.io/ssvsforpsych/) to perform the analysis and visualize the results. Using an application to predict pain ratings, we demonstrate how this approach quickly identifies reliable predictors, even when the set of possible predictors is larger than the sample size. This technique is widely applicable to research questions that may be relatively data-rich, but with limited information or theory to guide variable selection.

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Research on Service Selection Approach Based on Composite Service Execution Information

Chinese Journal of Computers ◽

10.3724/sp.j.1016.2008.01398 ◽

2009 ◽

Vol 31 (8) ◽

pp. 1398-1411 ◽

Cited By ~ 6

Author(s):

Ming-Wei ZHANG ◽

Wei-Jie WEI ◽

Bin ZHANG ◽

Xi-Zhe ZHANG ◽

Zhi-Liang ZHU

Keyword(s):

Service Selection ◽

Composite Service ◽

Service Execution ◽

Selection Approach

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An a Posteriori Multi-Objective Supplier Portfolio Selection Approach Under Risk and Sustainability Considerations

SSRN Electronic Journal ◽

10.2139/ssrn.2901390 ◽

2016 ◽

Author(s):

Florian Kellner ◽

Sebastian Utz

Keyword(s):

Portfolio Selection ◽

A Posteriori ◽

Multi Objective ◽

Selection Approach

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Multiple Structural Breaks in Cointegrating Regressions: A Model Selection Approach

SSRN Electronic Journal ◽

10.2139/ssrn.3489870 ◽

2019 ◽

Author(s):

Alexander Schmidt ◽

Karsten Schweikert

Keyword(s):

Model Selection ◽

Structural Breaks ◽

Multiple Structural Breaks ◽

Model Selection Approach ◽

Selection Approach

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Pollen Germination in Different Genotypes of Gladiolus

Nepal Journal of Science and Technology ◽

10.3126/njst.v11i0.4089 ◽

1970 ◽

Vol 11 ◽

pp. 47-50

Author(s):

Tul Bahadur Poon ◽

TM Rao ◽

C Aswath ◽

PE Rajasekharan ◽

DP Kumar

Keyword(s):

Boric Acid ◽

Magnesium Sulphate ◽

Pollen Germination ◽

Pollen Viability ◽

Calcium Nitrate ◽

Potassium Nitrate ◽

Hybrid Selection ◽

Fresh Pollen ◽

Sterile Pollen ◽

Germinated Pollen

Fresh pollen of 16 promising genotypes of gladiolus was tested for their pollen viability. Modified cellophane method was employed to assess the pollen viability. Pollen germination media consisted of 15% sucrose supplemented with 300 ppm calcium nitrate, 200 ppm magnesium sulphate, 100 ppm potassium nitrate and 100 ppm boric acid. Highly significant variations were observed for percentage of pollen germination, non-germinated pollen and sterile pollen. The highest pollen germination (76.41%) was in genotype Hybrid selection 88-10-22, and did not differ significantly from Gladiolus callianthus (75.41%), Sapna (75.10 %), Hybrid selection 86-32-11, (73.28 %), Kum Kum (69.41%), Poonam (69.22 %), Hybrid selection 87-22-1 (67.87 %), Hybrid selection 87-1-1 (67.61 %), Psittacinus hybrid (64.64%) and Darshan (63.97%). The lowest non- germinated pollen (10.47%) was in genotype Gladiolus callianthus, and insignificantly followed by Hybrid selection 88-10-22 with 18.77 % and Hybrid selection 87-22-1 with 18.95 %. The lowest percentage of sterile pollen was noticed in genotype Sapna (2.82%) followed by Poonam with 4.00 % Hybrid selection 88-10-22 with 4.82% and Hybrid selection 82-11-27 with 5.22%. Key words: Gladiolus; germination; pollen DOI: 10.3126/njst.v11i0.4089Nepal Journal of Science and Technology 11 (2010) 47-50

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