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Recent debates in the psychological literature have raised questions about the assumptions that underpin Bayesian models of cognition and what inferences they license about human cognition. In this paper we revisit this topic, arguing that there are 2 qualitatively different ways in which a Bayesian model could be constructed. The most common approach uses a Bayesian model as a normative standard upon which to license a claim about optimality. In the alternative approach, a descriptive Bayesian model need not correspond to any claim that the underlying cognition is optimal or rational, and is used solely as a tool for instantiating a substantive psychological theory. We present 3 case studies in which these 2 perspectives lead to different computational models and license different conclusions about human cognition. We demonstrate how the descriptive Bayesian approach can be used to answer different sorts of questions than the optimal approach, especially when combined with principled tools for model evaluation and model selection. More generally we argue for the importance of making a clear distinction between the 2 perspectives. Considerable confusion results when descriptive models and optimal models are conflated, and if Bayesians are to avoid contributing to this confusion it is important to avoid making normative claims when none are intended. (PsycINFO Database Record
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http://dx.doi.org/10.1037/rev0000052 | DOI Listing |
Am J Prev Cardiol
March 2025
Department of Cardiology, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Objective: Secondhand smoke (SHS) is a strong but comparatively controllable cardiometabolic risk factor. This study aims to assess the present and future burden of cardiometabolic diseases (CMDs) from SHS exposure.
Methods: Using the Global Burden of Disease (GBD) framework, we examined mortality and disability-adjusted life year (DALY) from CMDs attributable to SHS, by age, sex, and year, including cardiovascular disease [CVD, ischemic heart disease (IHD) and/or stroke], and/or Type 2 Diabetes Mellitus (T2DM) from 1990 to 2019.
Ecol Evol
December 2024
Kunming Botanical Garden, Kunming Institute of Botany, Chinese Academy of Sciences Kunming China.
The genus is widely distributed, primarily in East Asia. is located at the northern limit of this genus distribution, and understanding changes in its distribution is crucial for understanding the evolution of plants in this region, as well as their relationship with geological history and climate change. Moreover, the classification of sect.
View Article and Find Full Text PDFInfect Drug Resist
December 2024
Department of Epidemiology and Health Statistics, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, People's Republic of China.
Purpose: This study sets out to explore the forecasting value in syphilis incidence of the Bayesian structural time series (BSTS) model in Jiangsu Province.
Methods: The seasonal autoregressive integrated moving average (ARIMA) and BSTS models were constructed using the series from January 2017 to December 2021, and the prediction accuracy of both models was tested using the series from January 2022 to November 2022.
Results: From January 2017 to November 2022, the total number of syphilis cases in Jiangsu Province was 170629, with an average monthly notification cases of 2403.
Aust N Z J Stat
September 2024
Department of Mathematical Sciences, Michigan Technological University, Houghton, MI, 49931, USA.
Multivariate longitudinal ordinal and continuous data exist in many scientific fields. However, it is a rigorous task to jointly analyse them due to the complicated correlated structures of those mixed data and the lack of a multivariate distribution. The multivariate probit model, assuming there is a multivariate normal latent variable for each multivariate ordinal data, becomes a natural modeling choice for longitudinal ordinal data especially for jointly analysing with longitudinal continuous data.
View Article and Find Full Text PDFFront Pain Res (Lausanne)
December 2024
Centre for Neuroscience Studies, Queen's University, Kingston, ON, Canada.
The sensory/discriminative domain of pain is often given more consideration than the cognitive and affective influences that ultimately make pain what it is: a highly subjective experience that is based on an individual's life history and experiences. While many investigations of the underlying mechanisms of pain have focused on solely noxious stimuli, few have compared somatosensory stimuli that cross the boundary from innocuous to noxious. Of those that have, there is little consensus on the similarities and differences in neural signaling across these sensory domains.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!