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Normativity, Interpretation and Bayesian Models [PDF]
Frontiers in Psychology, 2014 It has been suggested that evaluative normativity should be expunged from the psychology of reasoning. A broadly Davidsonian response to these arguments is presented.
Mike eOaksford
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Bayesian Models for N-of-1 Trials [PDF]
Harvard Data Science Review, 2022 Christopher Schmid, Jiabei Yang
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A Bayesian Approach to Morphological Models Characterization
Image Analysis and Stereology, 2021 Morphological models are commonly used to describe microstructures observed in heterogeneous materials. Usually, these models depend upon a set of parameters that must be chosen carefully to match experimental observations conducted on the microstructure.
Bruno Figliuzzi +6 more
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Frontiers in Marine Science, 2021 The protection of fish nurseries has been recognized as a useful tool to efficiently manage fisheries given that protected areas enhance the recruitment of target species.
Francisco Izquierdo +11 more
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Multilevel selection as Bayesian inference, major transitions in individuality as structure learning [PDF]
Royal Society Open Science, 2019 Complexity of life forms on the Earth has increased tremendously, primarily driven by subsequent evolutionary transitions in individuality, a mechanism in which units formerly being capable of independent replication combine to form higher-level ...
Dániel Czégel +2 more
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Machine Learning, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chipman, Hugh A +2 more
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Cogent Economics & Finance, 2023 This study empirically addresses claims about the effects of strikes on output growth, inflation, and non-agricultural employment in South Africa using a structural analysis of Bayesian VAR models with a Normal inverted Wishart prior for the period 1982 ...
Marvellous Ngundu +3 more
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Fare inequities in public transit system in Costa Rica
Ingeniería, 2021 Problems in transit fare equity affect the daily commute of specific groups that depend mostly on public transportation. Previous studies showed that some routes present operational characteristics that increased the price charged to the users.
Cristhian Santiago Quirós Calderón +1 more
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Bayesian outcome selection modeling
Stat, 2023 In psychiatric and social epidemiology studies, it is common to measure multiple different outcomes using a comprehensive battery of tests thought to be related to an underlying construct of interest. In the research that motivates our work, researchers wanted to assess the impact of in utero alcohol exposure on child cognition and neuropsychological ...
Khue‐Dung Dang +5 more
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Troubleshooting Bayesian cognitive models
Psychological Methods, 2021 Using Bayesian methods to apply computational models of cognitive processes, or Bayesian cognitive modeling, is an important new trend in psychological research. The rise of Bayesian cognitive modeling has been accelerated by the introduction of software that efficiently automates the Markov chain Monte Carlo sampling used for Bayesian model fitting --
Beth Baribault, Anne G. E. Collins
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