scholarly journals Ultrahigh Dimensional Variable Selection for Interpolation of Geostatistical Data: Case Studies in Soil Carbon Modelling

2017 ◽  
Author(s):  
Benjamin Fitzpatrick
Keyword(s):  
Variable Selection ◽  
Soil Carbon ◽  
Case Studies ◽  
Carbon Modelling ◽  
Selection For ◽  
Dimensional Variable

scholarly journals Ultrahigh Dimensional Variable Selection for Interpolation of Point Referenced Spatial Data: A Digital Soil Mapping Case Study

PLoS ONE ◽  
2016 ◽  
Vol 11 (9) ◽  
pp. e0162489 ◽  
Author(s):  
Benjamin R. Fitzpatrick ◽  
David W. Lamb ◽  
Kerrie Mengersen
Keyword(s):  
Variable Selection ◽  
Spatial Data ◽  
Soil Mapping ◽  
Digital Soil Mapping ◽  
Selection For ◽  
Dimensional Variable

High-Dimensional Variable Selection for Survival Data

2010 ◽  
Vol 105 (489) ◽  
pp. 205-217 ◽  
Author(s):  
Hemant Ishwaran ◽  
Udaya B. Kogalur ◽  
Eiran Z. Gorodeski ◽  
Andy J. Minn ◽  
Michael S. Lauer
Keyword(s):  
Variable Selection ◽  
Survival Data ◽  
High Dimensional ◽  
Selection For ◽  
Dimensional Variable

Device Selection for Failure Analysis of Chain Fails Using Diagnosis Driven Yield Analysis

2011 ◽  
Author(s):  
Chris Schuermyer ◽  
Brady Benware ◽  
Graham Rhodes ◽  
Davide Appello ◽  
Vincenzo Tancorre ◽  
...  
Keyword(s):  
Failure Analysis ◽  
Case Studies ◽  
Yield Analysis ◽  
Analysis Methodology ◽  
Device Selection ◽  
Selection For ◽  
Random Defects

Abstract This work presents the first application of a diagnosis driven approach for identifying systematic chain fail defects in order to reduce the time spent in failure analysis. The zonal analysis methodology that is applied separates devices into systematic and random populations of chain fails in order to prevent submitting random defects for failure analysis. Two silicon case studies are presented to validate the production worthiness of diagnosis driven yield analysis for chain fails. The defects uncovered in these case studies are very subtle and would be difficult to identify with any other methodology.

scholarly journals Generalized additive model with embedded variable selection for bankruptcy prediction: Prediction versus interpretation

2019 ◽  
Vol 7 (1) ◽  
pp. 1597956
Author(s):  
Carlos Valencia ◽  
Sergio Cabrales ◽  
Laura Garcia ◽  
Juan Ramirez ◽  
Diego Calderona ◽  
...  
Keyword(s):  
Variable Selection ◽  
Generalized Additive Model ◽  
Additive Model ◽  
Bankruptcy Prediction ◽  
Selection For

Variable Selection for Mixed Data Clustering: Application in Human Population Genomics

2019 ◽  
Vol 37 (1) ◽  
pp. 124-142 ◽  
Author(s):  
Matthieu Marbac ◽  
Mohammed Sedki ◽  
Tienne Patin
Keyword(s):  
Variable Selection ◽  
Data Clustering ◽  
Human Population ◽  
Population Genomics ◽  
Mixed Data ◽  
Selection For
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