Results 51 to 60 of about 1,826,552 (219)
Bayes, Jeffreys, Prior Distributions and the Philosophy of Statistics
Statistical Science, 2009 I actually own a copy of Harold Jeffreys's Theory of Probability but have only read small bits of it, most recently over a decade ago to confirm that, indeed, Jeffreys was not too proud to use a classical chi-squared p-value when he wanted to check the misfit of a model to data (Gelman, Meng and Stern, 2006). I do, however, feel that it is important to
openaire +5 more sources
Environmental Toxicology, EarlyView.ABSTRACT Climate change and anthropogenic ignitions are intensifying wildfire frequency worldwide, elevating the risk of freshwater contamination by ash. In water, dissolved ash releases ions and other toxic constituents that increase pH and alter physicochemical conditions, while suspended ash particles may impose mechanical stress, disrupt behavior ...
Pétterson B. Pereira‐Silva +7 more
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Bertrand’s Paradox Resolution and Its Implications for the Bing–Fisher Problem
Mathematics, 2023 Bertrand’s paradox is a problem in geometric probability that has resisted resolution for more than one hundred years. Bertrand provided three seemingly reasonable solutions to his problem — hence the paradox. Bertrand’s paradox has also been influential
Richard A. Chechile
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When Thriving for More Collapses the System: The Academic Reproduction of Uncaring Structures
British Journal of Management, EarlyView.Abstract This essay argues that the widening gap between aspirational aims and visionary orientations and the prevailing practices in neoliberal academia stems from deeper, historically rooted, market‐based logics shaping our institutions, increasingly governed by economic values and academic subjectivities therein.
Lara Pecis, Florian Bauer
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The Prior Can Often Only Be Understood in the Context of the Likelihood
Entropy, 2017 A key sticking point of Bayesian analysis is the choice of prior distribution, and there is a vast literature on potential defaults including uniform priors, Jeffreys’ priors, reference priors, maximum entropy priors, and weakly informative priors. These
Andrew Gelman +2 more
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British Journal of Developmental Psychology, EarlyView.Abstract Research on genetic syndromes is vital to our understanding of how development unfolds, but the rarity of genetic syndromes can mean that studies are carried out with small sample sizes. Small sample sizes can reduce the statistical power of a study to produce reliable and replicable results.
Emily K. Farran +7 more
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On estimation for accelerated failure time models with small or rare event survival data
BMC Medical Research Methodology, 2022 Background Separation or monotone likelihood may exist in fitting process of the accelerated failure time (AFT) model using maximum likelihood approach when sample size is small and/or rate of censoring is high (rare event) or there is at least one ...
Tasneem Fatima Alam +2 more
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History and Nature of the Jeffreys-Lindley Paradox [PDF]
, 2022 The Jeffreys-Lindley paradox exposes a rift between Bayesian and frequentist hypothesis testing that strikes at the heart of statistical inference.
Ly, A. +5 more
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A tutorial on Bayesian model averaging for exponential random graph models
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
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MathematicsThis paper investigates the stress–strength reliability parameter R=P ...
Abdullah H. Alenezy +3 more
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