Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Remi Daviet"'
Autor:
Remi Daviet, Gökhan Aydogan, Kanchana Jagannathan, Nathaniel Spilka, Philipp D. Koellinger, Henry R. Kranzler, Gideon Nave, Reagan R. Wetherill
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Heavy alcohol consumption has been associated with brain structural changes. Here, using data from the UK biobank, the authors report associations between alcohol intake and brain macrostructure and microstructure.
Externí odkaz:
https://doaj.org/article/bada3f01ca96433ebf526eb7660c1b04
Autor:
Martin Burda, Remi Daviet
Publikováno v:
Econometric Reviews. 42:54-77
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a957e181653420083a97186218254d8
https://doi.org/10.1080/07474938.2022.2140982
https://doi.org/10.1080/07474938.2022.2140982
Autor:
Remi Daviet, Ryan Webb
Publikováno v:
Journal of Mathematical Psychology. 113:102741
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63d297750702bf8ec3d3abcd436b1bd7
https://doi.org/10.1016/j.jmp.2022.102741
https://doi.org/10.1016/j.jmp.2022.102741
Publikováno v:
Journal of Marketing. 86:7-26
Advances in molecular genetics have led to the exponential growth of the direct-to-consumer genetic testing industry, resulting in the assembly of massive privately owned genetic databases. This article explores the potential impact of this new data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::625b843d400ba154489f5f94614c1d2f
https://doi.org/10.1177/0022242920980767
https://doi.org/10.1177/0022242920980767
Autor:
Remi Daviet, Pankhuri Malhotra
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f82d0c184a4c58c2c034505af456449d
https://doi.org/10.2139/ssrn.4214955
https://doi.org/10.2139/ssrn.4214955
Knight, McShane, et al. (2020) report three experiments on testosterone’s effect on the Cognitive Reflection Test (CRT). The experiments were designed and executed independently of each other and of our previous work (Nave, Nadler, Zava & Camerer,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2659a87499ca9948eec5b0a0277827a0
https://resolver.caltech.edu/CaltechAUTHORS:20200629-095133170
https://resolver.caltech.edu/CaltechAUTHORS:20200629-095133170
Autor:
Remi Daviet
The importance of the choice set composition on individual preferences has been of wide interest in decision models. We propose a model seeking to elaborate on the role that choice set composition plays in a discrete choice problem through a normaliz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbd0a2245e3bf06a1c1290dfe9eb9076
https://psyarxiv.com/mhegr
https://psyarxiv.com/mhegr
Autor:
Henry R. Kranzler, Gideon Nave, Gökhan Aydogan, Joseph W. Kable, Christian C. Ruff, Reagan R. Wetherill, Philipp Koellinger, Todd A. Hare, R. Karlsson Linner, Remi Daviet
Publikováno v:
bioRxiv
Previous research points to the heritability of risk-taking behaviour. However, evidence on how genetic dispositions are translated into risky behaviour is scarce. Here, we report a genetically-informed neuroimaging study of real-world risky behaviou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eef926e5214dfbd88990a8b9cd41236
https://doi.org/10.1101/862417
https://doi.org/10.1101/862417
Autor:
Remi Daviet
Publikováno v:
SSRN Electronic Journal.
Practical use of Hierarchical Bayes models require the availability of efficient methods for posterior inference. Sequential Monte Carlo methods have appeared as an extremely robust way to simulate complicated Bayesian posteriors. The simplest versio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5881cda37b74142ee69cd38ba9fbf7e8
https://doi.org/10.2139/ssrn.3382624
https://doi.org/10.2139/ssrn.3382624
Autor:
Remi Daviet
Publikováno v:
SSRN Electronic Journal.
In behavioral experiments, carefully choosing the stimuli is critical for success. Recently, several "adaptive" Bayesian methods gained popularity by proposing to optimally select the stimulus in each trial based on the results of the preceding trial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1209687c84e272a7e2837108dea178c2
https://doi.org/10.2139/ssrn.3320251
https://doi.org/10.2139/ssrn.3320251