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10.1002/jeab.128 http://scihub22266oqcxt.onion/10.1002/jeab.128 C5523140!5523140!25556903     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=25556903&cmd=llinks): Failed to open stream: HTTP request failed! 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ACCURATE CHARACTERIZATION OF DELAY DISCOUNTING: A MULTIPLE MODEL APPROACH USING APPROXIMATE BAYESIAN MODEL SELECTION AND A UNIFIED DISCOUNTING MEASURE |pdf=|usr=}}{{25556903}} gab.com Text ACCURATE CHARACTERIZATION OF DELAY DISCOUNTING: A MULTIPLE MODEL APPROACH USING APPROXIMATE BAYESIAN MODEL SELECTION AND A UNIFIED DISCOUNTING MEASURE JO: J Exp Anal Behav http://www.kidney.de/pget.php?&tw=1&pmid=25556903 #FOAvip The study of delay discounting, or valuation of future rewards as a function of delay, has contributed to understanding the behavioral economics of addiction. Accurate characterization of discounting can be furthered by statistical model selection given that many functions have been proposed to measure future valuation of rewards. The present study provides a convenient Bayesian model selection algorithm that selects the most probable discounting model among a set of candidate models chosen by the researcher. The approach assigns the most probable model for each individual subject. Importantly, effective delay 50 (ED50) functions as a suitable unifying measure that is computable for and comparable between a number of popular functions, including both one- and two-parameter models. The combined model selection/ED50 approach is illustrated using empirical discounting data collected from a sample of 111 undergraduate students with models proposed by Laibson (1997); Mazur (1987); Myerson & Green (1995); Rachlin (2006); and Samuelson (1937). Computer simulation suggests that the proposed Bayesian model selection approach outperforms the single model approach when data truly arise from multiple models. When a single model underlies all participant data, the simulation suggests that the proposed approach fares no worse than the single model approach. Twit Text FOAVip ACCURATE CHARACTERIZATION OF DELAY DISCOUNTING: A MULTIPLE MODEL APPROACH USING APPROXIMATE BAYESIAN MODEL SELECTION AND A UNIFIED DISCOUNTING MEASURE ????J Exp Anal Behav http://www.kidney.de/pget.php?&tw=1&pmid=25556903 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25556903 #FOAvip English Wikipedia <ref>{{Cite pmid|25556903}}</ref> ACCURATE CHARACTERIZATION OF DELAY DISCOUNTING: A MULTIPLE MODEL APPROACH USING APPROXIMATE BAYESIAN MODEL SELECTION AND A UNIFIED DISCOUNTING MEASURE #MMPMID25556903 Franck CT; Koffarnus MN; House LL; Bickel WK J Exp Anal Behav 2015[Jan]; 103 (1): 218-33 PMID25556903show ga The study of delay discounting, or valuation of future rewards as a function of delay, has contributed to understanding the behavioral economics of addiction. Accurate characterization of discounting can be furthered by statistical model selection given that many functions have been proposed to measure future valuation of rewards. The present study provides a convenient Bayesian model selection algorithm that selects the most probable discounting model among a set of candidate models chosen by the researcher. The approach assigns the most probable model for each individual subject. Importantly, effective delay 50 (ED50) functions as a suitable unifying measure that is computable for and comparable between a number of popular functions, including both one- and two-parameter models. The combined model selection/ED50 approach is illustrated using empirical discounting data collected from a sample of 111 undergraduate students with models proposed by Laibson (1997); Mazur (1987); Myerson & Green (1995); Rachlin (2006); and Samuelson (1937). Computer simulation suggests that the proposed Bayesian model selection approach outperforms the single model approach when data truly arise from multiple models. When a single model underlies all participant data, the simulation suggests that the proposed approach fares no worse than the single model approach. äACCURATE CHARACTERIZATION OF DELAY DISCOUNTING: A MULTIPLE MODEL APPRO(epmc).pdf DeepDyve Pubget Overpricing