Results 11 to 20 of about 70,049 (193)
Adaptive User Interfaces and the Use of Inference Methods
Computational Science and Techniques, 2021 Bayesian Networks are used to model a user's behaviour. There is not much research on the use of Frequentist Inference to accomplish this same task.
Rachelle Barrette, Ratvinder Grewal
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Modern Likelihood‐Frequentist Inference [PDF]
International Statistical Review, 2017 SummaryWe offer an exposition of modern higher order likelihood inference and introduce software to implement this in a quite general setting. The aim is to make more accessible an important development in statistical theory and practice. The software, implemented in anRpackage, requires only that the user provide code to compute the likelihood ...
Pierce, Donald Alan, Bellio, Ruggero
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BMC Public Health, 2021 Background Routine influenza vaccine effectiveness (VE) surveillance networks use frequentist methods to estimate VE. With data from more than a decade of VE surveillance from diverse global populations now available, using Bayesian methods to explicitly
Michael L. Jackson +11 more
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Philosophies, 2020 Inspired by the Monty Hall Problem and a popular simple solution to it, we present a number of game-show puzzles that are analogous to the notorious Sleeping Beauty Problem (and variations on it), but much easier to solve.
Michel Janssen, Sergio Pernice
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Differences in parameter estimates derived from various methods for the ORYZA (v3) Model
Journal of Integrative Agriculture, 2022 Parameter estimation is always a difficult issue for crop model users, and inaccurate parameter values will result in deceptive model predictions. Parameter values may vary with different inversion methods due to equifinality and differences in the ...
Jun-wei TAN +3 more
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Bayesian Repeated-Measures Analysis of Variance: An Updated Methodology Implemented in JASP
Advances in Methods and Practices in Psychological Science, 2023 Analysis of variance (ANOVA) is widely used to assess the influence of one or more experimental (or quasi-experimental) manipulations on a continuous outcome.
Don van den Bergh +2 more
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Comparative Enumeration Gene Expression [PDF]
, 2008 This paper is about differential gene expression measured by transcript counting methods such as SAGE or MPSS. It introduces two significance tests for detection of differential expressed tags: frequentist and Bayesian. Under the frequentist view, it is
Carlos A. D. E. B. Pereira +1 more
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Recovery, detection and confidence sets of communities in a sparse stochastic block model [PDF]
, 2018 Posterior distributions for community assignment in the planted bi-section model are shown to achieve frequentist exact recovery and detection under sharp lower bounds on sparsity.
Kleijn, B. J. K., van Waaij, J.
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Plausibility functions and exact frequentist inference [PDF]
, 2014 In the frequentist program, inferential methods with exact control on error rates are a primary focus. The standard approach, however, is to rely on asymptotic approximations, which may not be suitable.
Barndorff-Nielsen O.E. +21 more
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A patient called Medical Research
Biomedical Papers, 2017 We report the case of a patient called Medical Research who presents with multiple life threatening symptoms, including a plethora of false positive results. This paper describes the course of the disease, discusses possible etiologies and offers options
Tomas Furst, Jan Strojil
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