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Uncertainty of feedback and state estimation determines the speed of motor adaptation
Frontiers in Computational Neuroscience, 2010 Humans can adapt their motor behaviors to deal with ongoing changes. To achieve this, the nervous system needs to estimate central variables for our movement based on past knowledge and new feedback, both of which are uncertain. In the Bayesian framework,
Kunlin Wei +4 more
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Pertinence of Predictive Models as Regards the Behavior of Observed Biological and Artificial Phenomena [PDF]
Athens Journal of Health and Medical Sciences, 2021 In this assessment, we have made an effort of synthesis on the role of theoretical and observational investigations in the analysis of the concepts and functioning of different natural biological and artificial phenomena.
Adel Razek
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Epigenetics, 2021 Epigenetic architecture is influenced by genetic and environmental factors, but little is known about their relative contributions or longitudinal dynamics.
Chris McKennan +14 more
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COMPARISON OF FREQUENTIST AND BAYESIAN APPROACHES ON SAMPLE SIZE: METHODOLOGIC STUDY
Sabiad, 2023 Objective: In the present study, we aimed to evaluate the effects of sample size on results of study by using frequentist and Bayesian approaches.Material and Methods: The small sample consisted of 32 patients with ischemic heart disease (IHD) and 37 ...
Cennet Yıldız +3 more
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Tehran Stock Exchange Return Forecasting: Comparison of Bayesian, Exponential Smoothing and Box Jenkins Approaches [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2022 Stock returns forecasting is very crucial for investors, share-holders and arbiters. Different methods have been developed for this purpose. In general, there are four methods of forecasting in stock markets, which are; Technical Analysis, Fundamental ...
Mojtaba Rostami +1 more
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Statistical Theory and Related Fields, 2019 Demographic estimation becomes a problem of small area estimation when detailed disaggregation leads to small cell counts. The usual difficulties of small area estimation are compounded when the available data sources contain measurement errors.
Junni L. Zhang, John Bryant
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Estimating COVID-19 excess mortality during and after the pandemic: A Bayesian model, with an application to New Zealand [PDF]
Demographic ResearchBACKGROUND: COVID-19 excess deaths are a standard measure of the effects of COVID on mortality. They are defined as the difference between actual death counts and the counts that would have been expected in the absence of the pandemic.
John Bryant +4 more
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Çanakkale Onsekiz Mart University Journal of Marine Sciences and Fisheries, 2022 Time series of catch and effort data for Farfantepenaeus notialis were analysed in ‘R’ using a data limited state-space Bayesian Catch-maximum Sustainbale Yield (CMSY) method for stock assessment from catch (tonnes) and abundance data (t/day).
Komba J. Konoyima
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Computing for Numeracy: How Safe is Your COVID-19 Social Bubble?
Numeracy, 2021 The COVID-19 pandemic has led many people to form social bubbles. These social bubbles are small groups of people who interact with one another but restrict interactions with the outside world.
Charles Connor
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Thou Shalt Not Squander Life – Comparing Five Approaches to Argument Strength
Studies in Logic, Grammar and Rhetoric, 2023 Different approaches analyze the strength of a natural language argument in different ways. This paper contrasts the dialectical, structural, probabilistic (or Bayesian), computational, and empirical approaches by exemplarily applying them to a single ...
Zenker Frank +4 more
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