The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Cedric Notredame - One of the best experts on this subject based on the ideXlab platform.
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how much does it cost optimization of costs in sequence analysis of social science data
Sociological Methods & Research, 2009Co-Authors: Jacquesantoine Gauthier, Eric D Widmer, Philipp Bucher, Cedric NotredameAbstract:One major Methodological Problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. Although this Problem is currently not optimally dealt with in the social sciences, it has some similarity with Problems that have been solved in bioinformatics for three decades. In this article, the authors propose an optimization of substitution and deletion/insertion costs based on computational methods. The authors provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct data sets, the authors tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. The proposed method performs well compared with other cost-setting strategies, while it alleviates the justification Problem of cost schemes.
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how much does it cost optimization of costs in sequence analysis of social science data
Social Science Research Network, 2007Co-Authors: Jacquesantoine Gauthier, Eric D Widmer, Philipp Bucher, Cedric NotredameAbstract:One major Methodological Problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. If this Problem is currently not optimally dealt with in the social sciences, it has some similarity with Problems solved in bioinformatics for three decades. In this article, we propose an optimization of substitution and deletion/insertion costs based on computational methods. We provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct datasets we tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. We found that the proposed method performs well compared with other cost setting strategies, while it alleviates the justification Problem of cost schemes.
Jacquesantoine Gauthier - One of the best experts on this subject based on the ideXlab platform.
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how much does it cost optimization of costs in sequence analysis of social science data
Sociological Methods & Research, 2009Co-Authors: Jacquesantoine Gauthier, Eric D Widmer, Philipp Bucher, Cedric NotredameAbstract:One major Methodological Problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. Although this Problem is currently not optimally dealt with in the social sciences, it has some similarity with Problems that have been solved in bioinformatics for three decades. In this article, the authors propose an optimization of substitution and deletion/insertion costs based on computational methods. The authors provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct data sets, the authors tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. The proposed method performs well compared with other cost-setting strategies, while it alleviates the justification Problem of cost schemes.
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how much does it cost optimization of costs in sequence analysis of social science data
Social Science Research Network, 2007Co-Authors: Jacquesantoine Gauthier, Eric D Widmer, Philipp Bucher, Cedric NotredameAbstract:One major Methodological Problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. If this Problem is currently not optimally dealt with in the social sciences, it has some similarity with Problems solved in bioinformatics for three decades. In this article, we propose an optimization of substitution and deletion/insertion costs based on computational methods. We provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct datasets we tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. We found that the proposed method performs well compared with other cost setting strategies, while it alleviates the justification Problem of cost schemes.
Kathleen Wells - One of the best experts on this subject based on the ideXlab platform.
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research on timing of foster care outcomes one Methodological Problem and approaches to its solution
Social Service Review, 2003Co-Authors: Shenyang Guo, Kathleen WellsAbstract:This article discusses the use of event history analysis, specifically the Cox proportional hazards model, in research on timing of foster care outcomes. It focuses on the inclusion of autocorrelated data in the model, a statistical Problem that has received little attention in studies of the timing of exit from or reentry into foster care. This article describes the Cox model, the Problem posed by use of the model with autocorrelated data, and promising solutions to the Problem. It focuses on one solution, the WLW (Wei, Lin, and Weissfeld 1989) model, and shows its benefits with data drawn from the authors’ research program.
Eric D Widmer - One of the best experts on this subject based on the ideXlab platform.
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how much does it cost optimization of costs in sequence analysis of social science data
Sociological Methods & Research, 2009Co-Authors: Jacquesantoine Gauthier, Eric D Widmer, Philipp Bucher, Cedric NotredameAbstract:One major Methodological Problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. Although this Problem is currently not optimally dealt with in the social sciences, it has some similarity with Problems that have been solved in bioinformatics for three decades. In this article, the authors propose an optimization of substitution and deletion/insertion costs based on computational methods. The authors provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct data sets, the authors tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. The proposed method performs well compared with other cost-setting strategies, while it alleviates the justification Problem of cost schemes.
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how much does it cost optimization of costs in sequence analysis of social science data
Social Science Research Network, 2007Co-Authors: Jacquesantoine Gauthier, Eric D Widmer, Philipp Bucher, Cedric NotredameAbstract:One major Methodological Problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. If this Problem is currently not optimally dealt with in the social sciences, it has some similarity with Problems solved in bioinformatics for three decades. In this article, we propose an optimization of substitution and deletion/insertion costs based on computational methods. We provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct datasets we tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. We found that the proposed method performs well compared with other cost setting strategies, while it alleviates the justification Problem of cost schemes.
Philipp Bucher - One of the best experts on this subject based on the ideXlab platform.
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how much does it cost optimization of costs in sequence analysis of social science data
Sociological Methods & Research, 2009Co-Authors: Jacquesantoine Gauthier, Eric D Widmer, Philipp Bucher, Cedric NotredameAbstract:One major Methodological Problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. Although this Problem is currently not optimally dealt with in the social sciences, it has some similarity with Problems that have been solved in bioinformatics for three decades. In this article, the authors propose an optimization of substitution and deletion/insertion costs based on computational methods. The authors provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct data sets, the authors tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. The proposed method performs well compared with other cost-setting strategies, while it alleviates the justification Problem of cost schemes.
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how much does it cost optimization of costs in sequence analysis of social science data
Social Science Research Network, 2007Co-Authors: Jacquesantoine Gauthier, Eric D Widmer, Philipp Bucher, Cedric NotredameAbstract:One major Methodological Problem in analysis of sequence data is the determination of costs from which distances between sequences are derived. If this Problem is currently not optimally dealt with in the social sciences, it has some similarity with Problems solved in bioinformatics for three decades. In this article, we propose an optimization of substitution and deletion/insertion costs based on computational methods. We provide an empirical way of determining costs for cases, frequent in the social sciences, in which theory does not clearly promote one cost scheme over another. Using three distinct datasets we tested the distances and cluster solutions produced by the new cost scheme in comparison with solutions based on cost schemes associated with other research strategies. We found that the proposed method performs well compared with other cost setting strategies, while it alleviates the justification Problem of cost schemes.
