Model Calibration with Big Data

2017 ◽  
pp. 315-322
Author(s):  
Guowei Cai ◽  
Sankaran Mahadevan
Keyword(s):  
Big Data ◽  
Model Calibration

scholarly journals Distribution System Model Calibration With Big Data From AMI and PV Inverters

2016 ◽  
Vol 7 (5) ◽  
pp. 2497-2506 ◽  
Author(s):  
Jouni Peppanen ◽  
Matthew J. Reno ◽  
Robert J. Broderick ◽  
Santiago Grijalva
Keyword(s):  
Big Data ◽  
Distribution System ◽  
Model Calibration ◽  
System Model

scholarly journals Supplementary material to "Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation"

2018 ◽  
Author(s):  
Istem Fer ◽  
Ryan Kelly ◽  
Paul R. Moorcroft ◽  
Andrew D. Richardson ◽  
Elizabeth M. Cowdery ◽  
...  
Keyword(s):  
Big Data ◽  
Bayesian Model ◽  
Model Calibration ◽  
Ecosystem Model ◽  
Supplementary Material

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

Correlating Personality and Actual Phone Usage

2014 ◽  
Vol 35 (3) ◽  
pp. 158-165 ◽  
Author(s):  
Christian Montag ◽  
Konrad Błaszkiewicz ◽  
Bernd Lachmann ◽  
Ionut Andone ◽  
Rayna Sariyska ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Self Report ◽  
Psychological Variables ◽  
New Approach ◽  
Report Data ◽  
Self Report Data ◽  
Voice Calls

In the present study we link self-report-data on personality to behavior recorded on the mobile phone. This new approach from Psychoinformatics collects data from humans in everyday life. It demonstrates the fruitful collaboration between psychology and computer science, combining Big Data with psychological variables. Given the large number of variables, which can be tracked on a smartphone, the present study focuses on the traditional features of mobile phones – namely incoming and outgoing calls and SMS. We observed N = 49 participants with respect to the telephone/SMS usage via our custom developed mobile phone app for 5 weeks. Extraversion was positively associated with nearly all related telephone call variables. In particular, Extraverts directly reach out to their social network via voice calls.

“Big Data in Psychology: Methods and Applications”

2017 ◽  
Vol 225 (3) ◽  
pp. 287-288
Keyword(s):  
Big Data

An associated conference will take place at ZPID – Leibniz Institute for Psychology Information in Trier, Germany, on June 7–9, 2018. For further details, see: http://bigdata2018.leibniz-psychology.org

When the Sample Is the Population: Big Data

PsycCRITIQUES ◽  
2014 ◽  
Vol 59 (2) ◽  
Author(s):  
David J. Pittenger
Keyword(s):  
Big Data
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