Showing 1 - 10 of 1,793
and fit the observations) and predicted evidence (i.e., when evidence verifies the prediction of a hypothesis formulated …The difference between accommodated evidence (i.e. when evidence is known first and a hypothesis is proposed to explain … before observing the evidence) is investigated. According to Bayesian confirmation theory, accommodated and predicted …
Persistent link: https://www.econbiz.de/10011019097
Maniadis et al. (2013) present a theoretical framework that aims at providing insights into the mechanics of proper inference. They suggest that a decision about whether to call an experimental finding noteworthy, or deserving of great attention, should be based on the calculated post-study...
Persistent link: https://www.econbiz.de/10010884472
evidence that the natural science are much more heavily constrained by evidence and observation than by theory while the social … sciences are constrained by prior theory and hardly at all by direct evidence. Current examples of the latter proposition are … tool to constrain the development of a new social science by direct (what economists dismiss as anecdotal) evidence and …
Persistent link: https://www.econbiz.de/10004983496
The growing field of studies of opinion formation using physical formalisms and computer simulation based tools suffers from relative lack of connection to the 'real world' societal behaviour. Such sociophysics research should aim at explaining observations or at proposing new ones....
Persistent link: https://www.econbiz.de/10004983539
Persistent link: https://www.econbiz.de/10010401604
Persistent link: https://www.econbiz.de/10012432767
We investigate the potential for Large Language Models (LLMs) to enhance scientific practice within experimentation by identifying key areas, directions, and implications. First, we discuss how these models can improve experimental design, including improving the elicitation wording, coding...
Persistent link: https://www.econbiz.de/10014372436
Persistent link: https://www.econbiz.de/10010684489
We perform a comparative analysis of machine learning methods for the canonical problem of empirical asset pricing: measuring asset risk premia. We demonstrate large economic gains to investors using machine learning forecasts, in some cases doubling the performance of leading regression-based...
Persistent link: https://www.econbiz.de/10012899608