scholarly journals Multi-fidelity optimization via surrogate modelling

2007 ◽  
Vol 463 (2088) ◽  
pp. 3251-3269 ◽  
Author(s):  
Alexander I.J Forrester ◽  
András Sóbester ◽  
Andy J Keane
Keyword(s):  
Gaussian Process ◽  
Search Space ◽  
Levels Of Analysis ◽  
Variance Estimator ◽  
Surrogate Modelling ◽  
Exchange Algorithm ◽  
Wing Optimization ◽  
Multiple Levels ◽  
Intuitive Manner ◽  
Level Of Analysis

This paper demonstrates the application of correlated Gaussian process based approximations to optimization where multiple levels of analysis are available, using an extension to the geostatistical method of co-kriging . An exchange algorithm is used to choose which points of the search space to sample within each level of analysis. The derivation of the co-kriging equations is presented in an intuitive manner, along with a new variance estimator to account for varying degrees of computational ‘noise’ in the multiple levels of analysis. A multi-fidelity wing optimization is used to demonstrate the methodology.

The First Decade of the Canadian Journal of Community Mental Health: A Critical Review

1993 ◽  
Vol 12 (1) ◽  
pp. 23-35 ◽  
Author(s):  
Leslea Peirson ◽  
Richard Walsh-Bowers
Keyword(s):  
Mental Health ◽  
Community Mental Health ◽  
Canadian Journal ◽  
Levels Of Analysis ◽  
Individual Level ◽  
Female Authors ◽  
Research Relationship ◽  
Academic Settings ◽  
Multiple Levels ◽  
Level Of Analysis

The purpose of our study is to describe the major features of the articles published in the first decade of the Canadian Journal of Community Mental Health (CJCMH). We examined all 194 articles published in 1982 through 1991 with respect to seven dimensions: authors' gender, authors' affiliation, collaboration, article categories, levels of analysis, populations of interest, and the research relationship. Our findings suggest that: (a) CJCMH has provided increasingly more opportunities for female authors over the years; (b) authors have typically been affiliated with academic settings; (c) the majority of articles were written collaboratively; (d) a minority of articles pertain to empirical research; (e) most empirically based articles employed an individual level of analysis methodologically, while overall authors' interpretations primarily reflect multiple levels of analysis; (f) consumers/survivors represent the population most often investigated; and (g) CJCMH authors are not providing much useful information regarding the research relationship. We conclude that CJCMH authors, reviewers, and editors must continue to consider and incorporate the key values and concepts of community mental health when preparing and soliciting articles for publication.

Developmental language learning impairments

2002 ◽  
Vol 14 (3) ◽  
pp. 559-579 ◽  
Author(s):  
PAULA TALLAL ◽  
APRIL A. BENASICH
Keyword(s):  
Language Learning ◽  
Language Impairment ◽  
Unknown Origin ◽  
Written Language ◽  
Levels Of Analysis ◽  
Future Research ◽  
Social Emotional ◽  
Learning Impairments ◽  
Multiple Levels ◽  
Level Of Analysis

Developmental language learning impairments (LLI) are one of the most prevalent of all developmental disabilities, can occur in children for a wide variety of reasons, and have been shown to co-occur frequently with other developmental social, emotional and behavioral disorders, as well as with academic achievement problems. Research pertaining to developmental LLI of unknown origin, with an emphasis on the continuum between oral and written language impairment, is the focus of this review. Given the complexity of language learning, research has focused on multiple levels of analysis, including linguistic, neuropsychological, genetic, neurobiological, and remediation studies. To date, the vast majority of data on LLI derive from studies focused on a single level of analysis. Although attempts have been made to integrate data across studies and multiple levels of analysis, this has proven to be problematic, given the heterogeneity of the subject populations used to study LLI, as well as the differences in ages, degree of impairment, and types of impairment included in each study. Given that LLI is a complex developmental disability, it is suggested that future research would benefit from taking a multiple levels of analysis approach with the same individuals, incorporating mathematical models designed to analyze dynamically changing complex systems, and studying individual differences in language learning, prospectively and longitudinally, throughout the most dynamic stages of the process.

Effects in Disguise: The Importance of Controlling for Constructs at Multiple Levels in Macro–Level Immigration and Crime Research

2018 ◽  
Vol 17 (4) ◽  
pp. 1100-1118 ◽  
Author(s):  
Javier Ramos ◽  
Marin Wenger
Keyword(s):  
Poisson Regression ◽  
Levels Of Analysis ◽  
Immigrant Communities ◽  
Prior Work ◽  
Foreign Born ◽  
Multiple Levels ◽  
The Relationship ◽  
The City ◽  
Level Of Analysis ◽  
Immigration And Crime

Contemporary research suggests that immigrant communities often have lower rates of crime despite their disadvantaged status. Yet prior work often examines the immigration and crime association using only one level of analysis without regard for how this relationship might vary when analyzed across multiple levels of analysis simultaneously. Research also suggests that the immigration–crime link varies across spatial contexts. Using hierarchical Poisson Regression among a sample of 6,660 tracts nested within 55 cities, we examine whether the relationship between immigration and crime varies when examined at the tract and city levels simultaneously. We also include a cross–level interaction in our model to test whether the tract–level association between immigration and crime varies by the size of the foreign–born population at the city level. Results show that the immigration–crime link depends on the level of analysis, such that the relationship is positive at the tract level but negative at the city level. However, we find no support for our cross–level interaction.

Microbrook, Mesobrook, Macrobrook

2019 ◽  
Vol 2 (4) ◽  
pp. 245-253 ◽  
Author(s):  
Sebastian Jilke ◽  
Asmus Leth Olsen ◽  
William Resh ◽  
Saba Siddiki
Keyword(s):  
Problem Solving ◽  
Public Administration ◽  
Theory And Practice ◽  
Levels Of Analysis ◽  
Explicit Characterization ◽  
Methodological Perspective ◽  
Level Of Analysis ◽  
Effective Problem

Abstract This article assesses the field of public administration from a conceptual and methodological perspective. We urge public administration scholars to resolve the ambiguities that mire our scholarship due to the inadequate treatment of levels of analysis in our research. Overall, we encourage methodological accountability through a more explicit characterization of one’s research by the level of analysis to which it relates. We argue that this particular form of accountability is critical for effective problem solving for advancing theory and practice.

scholarly journals Instantiating the multiple levels of analysis perspective in a program of study on externalizing behavior

2012 ◽  
Vol 24 (3) ◽  
pp. 1003-1018 ◽  
Author(s):  
Theodore P. Beauchaine ◽  
Lisa M. Gatzke-Kopp
Keyword(s):  
Middle Childhood ◽  
Externalizing Behavior ◽  
Developmental Psychopathology ◽  
Personality Development ◽  
Developmental Model ◽  
Self Report ◽  
Levels Of Analysis ◽  
Quarter Century ◽  
Trait Impulsivity ◽  
Multiple Levels

AbstractDuring the last quarter century, developmental psychopathology has become increasingly inclusive and now spans disciplines ranging from psychiatric genetics to primary prevention. As a result, developmental psychopathologists have extended traditional diathesis–stress and transactional models to include causal processes at and across all relevant levels of analysis. Such research is embodied in what is known as the multiple levels of analysis perspective. We describe how multiple levels of analysis research has informed our current thinking about antisocial and borderline personality development among trait impulsive and therefore vulnerable individuals. Our approach extends the multiple levels of analysis perspective beyond simple Biology × Environment interactions by evaluating impulsivity across physiological systems (genetic, autonomic, hormonal, neural), psychological constructs (social, affective, motivational), developmental epochs (preschool, middle childhood, adolescence, adulthood), sexes (male, female), and methods of inquiry (self-report, informant report, treatment outcome, cardiovascular, electrophysiological, neuroimaging). By conducting our research using any and all available methods across these levels of analysis, we have arrived at a developmental model of trait impulsivity that we believe confers a greater understanding of this highly heritable trait and captures at least some heterogeneity in key behavioral outcomes, including delinquency and suicide.

SIMULTANEOUS EXAMINATION OF THE ANTECEDENTS AND CONSEQUENCES OF EFFICACY BELIEFS AT MULTIPLE LEVELS OF ANALYSIS.

2002 ◽  
Vol 2002 (1) ◽  
pp. A1-A6 ◽  
Author(s):  
GILAD CHEN ◽  
SHEILA SIMSARIAN WEBBER ◽  
PAUL D. BLIESE ◽  
JOHN E. MATHIEU ◽  
STEPHANIE C. PAYNE ◽  
...  
Keyword(s):  
Efficacy Beliefs ◽  
Levels Of Analysis ◽  
Multiple Levels ◽  
Antecedents And Consequences

scholarly journals Gaussian Process Regression Based Robust Optimization with Observer Uncertainty for Reconfigurable Self-x Sensory Electronics for Industry 4.0

2021 ◽  
Vol 88 (s1) ◽  
pp. s83-s88
Author(s):  
Qummar Zaman ◽  
Senan Alraho ◽  
Andreas König
Keyword(s):  
Robust Optimization ◽  
Gaussian Process ◽  
Industry 4.0 ◽  
Performance Metrics ◽  
Optimization Technique ◽  
Gaussian Process Regression ◽  
Search Space ◽  
Instrumentation Amplifier ◽  
Statistical Regression ◽  
Current Feedback

Abstract This paper presents a robust optimization technique for the reconfigurable measurement of sensory electronics for industry 4.0 to obtain a robust solution even in the presence of observer uncertainty using a cost-effective performance measurement method. The extrinsic evaluation of the proposed methodology is performed on an indirect current-feedback instrumentation amplifier (CFIA), which is a fundamental part of sensory systems. To reduce the CFIA device performance evaluation set-up cost, a low-cost test stimulus is applied to the circuit under test, and the output response of the circuit is examined to correlate with the device’s performance parameters. Due to the complexity of the smart sensory electronics search space, the meta-heuristic optimization algorithm is being selected as an optimizer. For objective space or observer uncertainty, the Gaussian process regression from the Bayesian statistical regression process is used to estimate the uncertainty level efficiently. Six different classical metrics have been used to evaluate the regression model accuracy. The highest achieved average expected error metrics value is 0.313, and the minimum value of correlation performance metrics is 0.908. The device is implemented using 0.35 μm austriamicrosystems technology.

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