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10.3389/fpsyg.2016.00409 http://scihub22266oqcxt.onion/10.3389/fpsyg.2016.00409 C4820461!4820461 !27092089     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27092089 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Front+Psychol 2016 ; 7 (ä): 409 Nephropedia Template TP {{tp|p=27092089 |t=2016. Bayesian Model Selection with Network Based Diffusion Analysis |pdf=|usr=}}{{27092089 }} gab.com Text Bayesian Model Selection with Network Based Diffusion Analysis JO: Front Psychol http://www.kidney.de/pget.php?&tw=1&pmid=27092089 #FOAvip A number of recent studies have used Network Based Diffusion Analysis (NBDA) to detect the role of social transmission in the spread of a novel behavior through a population. In this paper we present a unified framework for performing NBDA in a Bayesian setting, and demonstrate how the Watanabe Akaike Information Criteria (WAIC) can be used for model selection. We present a specific example of applying this method to Time to Acquisition Diffusion Analysis (TADA). To examine the robustness of this technique, we performed a large scale simulation study and found that NBDA using WAIC could recover the correct model of social transmission under a wide range of cases, including under the presence of random effects, individual level variables, and alternative models of social transmission. This work suggests that NBDA is an effective and widely applicable tool for uncovering whether social transmission underpins the spread of a novel behavior, and may still provide accurate results even when key model assumptions are relaxed. Twit Text FOAVip Bayesian Model Selection with Network Based Diffusion Analysis ????Front Psychol http://www.kidney.de/pget.php?&tw=1&pmid=27092089 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27092089 #FOAvip English Wikipedia <ref>{{Cite pmid|27092089 }}</ref> Bayesian Model Selection with Network Based Diffusion Analysis #MMPMID27092089 Whalen A ; Hoppitt WJ Front Psychol 2016[]; 7 (ä): 409 PMID27092089 show ga A number of recent studies have used Network Based Diffusion Analysis (NBDA) to detect the role of social transmission in the spread of a novel behavior through a population. In this paper we present a unified framework for performing NBDA in a Bayesian setting, and demonstrate how the Watanabe Akaike Information Criteria (WAIC) can be used for model selection. We present a specific example of applying this method to Time to Acquisition Diffusion Analysis (TADA). To examine the robustness of this technique, we performed a large scale simulation study and found that NBDA using WAIC could recover the correct model of social transmission under a wide range of cases, including under the presence of random effects, individual level variables, and alternative models of social transmission. This work suggests that NBDA is an effective and widely applicable tool for uncovering whether social transmission underpins the spread of a novel behavior, and may still provide accurate results even when key model assumptions are relaxed. äBayesian Model Selection with Network Based Diffusion Analysis (epmc).pdf DeepDyve Pubget Overpricing