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UID:pretalx-juliacon2023-TCFXVE@pretalx.com
DTSTART;TZID=EST:20230728T120000
DTEND;TZID=EST:20230728T121000
DESCRIPTION:Economic research strongly depends upon the economist’s abili
 ty to identify relevant information for causal inference and forecast accu
 racy efficiently. We address this goal in our Julia’s ParallelGSReg proj
 ect\, developing different econometric-machine learning packages. In Julia
 Con 2023\, we will present an improved version of our dimensionality reduc
 tion package (including non-linear algorithms) and a new "research acceler
 ation package" with automatized Latex code and AI-bibliographic features.
DTSTAMP:20260517T002446Z
LOCATION:32-124
SUMMARY:Accelerating Economic Research with Julia - Demian Panigo\, Adán M
 auri Ungaro\, Nicolás Monzón\, Alexis Tcach\, Juan Menduiña\, Pablo Glu
 zmann\, Alejo\, Nahuel Panigo
URL:https://pretalx.com/juliacon2023/talk/TCFXVE/
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