Frequentist and Bayesian Quantum Phase Estimation
Entropy, 2018 Frequentist and Bayesian phase estimation strategies lead to conceptually different results on the state of knowledge about the true value of an unknown parameter.
Yan Li +5 more
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Statistical Significance Testing for Mixed Priors: A Combined Bayesian and Frequentist Analysis
Entropy, 2022 In many hypothesis testing applications, we have mixed priors, with well-motivated informative priors for some parameters but not for others. The Bayesian methodology uses the Bayes factor and is helpful for the informative priors, as it incorporates ...
Jakob Robnik, Uros Seljak
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Small Samples, Big Insights: A Methodological Comparison of Estimation Techniques for Latent Divergent Thinking Models [PDF]
Journal of IntelligenceIn psychology, small sample sizes are a frequent challenge—particularly when studying specific expert populations or using complex and cost-intensive methods like human scoring of creative answers—as they reduce statistical power, bias results, and limit
Selina Weiss +2 more
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The Interplay of Bayesian and Frequentist Analysis
Statistical Science, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
James O Berger
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Multicomponent stress-strength reliability analysis using the inverted exponentiated Rayleigh distribution under block adaptive type-II progressive hybrid censoring and k-records [PDF]
Scientific ReportsWe propose a statistical model for multicomponent stress-strength reliability under the inverted exponentiated Rayleigh distribution. The model is specifically designed for complex data structures where component strength is measured using block adaptive
Haidy A. Newer
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Entropy, 2021 Engagement in cognitively demanding activities is beneficial to preserving cognitive health. Our goal was to demonstrate the utility of frequentist, Bayesian, and fiducial statistical methods for evaluating the robustness of effects in identifying ...
Shevaun D. Neupert +5 more
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Upsala Journal of Medical Sciences, 2022 Background: The aim was to investigate inferences of statistically significant test results among persons with more or less statistical education and research experience.
Per Lytsy, Mikael Hartman, Ronnie Pingel
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A more principled use of the p-value? Not so fast: a critique of Colquhoun’s argument [PDF]
Royal Society Open Science, 2019 The usefulness of the statistic known as the p-value, as a means of quantifying the strength of evidence for the presence of an effect from empirical data has long been questioned in the statistical community.
Ognjen Arandjelović
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A practical guide to understanding and validating complex models using data simulations
Methods in Ecology and Evolution, 2023 Biologists routinely fit novel and complex statistical models to push the limits of our understanding. Examples include, but are not limited to, flexible Bayesian approaches (e.g. BUGS, stan), frequentist and likelihood‐based approaches (e.g.
Graziella V. DiRenzo +2 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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