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A Bayesian Statistics Course for Undergraduates: Bayesian Thinking, Computing, and Research [PDF]
Journal of Statistics Education, 2020 We propose a semester-long Bayesian statistics course for undergraduate students with calculus and probability background. We cultivate students’ Bayesian thinking with Bayesian methods applied to real data problems. We leverage modern Bayesian computing
Jingchen Hu
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Weyl Prior and Bayesian Statistics [PDF]
Entropy, 2020 When using Bayesian inference, one needs to choose a prior distribution for parameters. The well-known Jeffreys prior is based on the Riemann metric tensor on a statistical manifold.
Ruichao Jiang +2 more
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Global Geometry of Bayesian Statistics [PDF]
Entropy, 2020 In the previous work of the author, a non-trivial symmetry of the relative entropy in the information geometry of normal distributions was discovered. The same symmetry also appears in the symplectic/contact geometry of Hilbert modular cusps. Further, it
Atsuhide Mori
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Bibliometric Analysis of Surgical Articles Using Bayesian Statistics [PDF]
Annals of Surgery OpenObjectives:. The study aims to investigate the landscape and trends in the use of Bayesian statistics in surgical papers published in high-impact journals over the past 2 decades, determine the characteristics of these papers, and assess the quality of ...
Zhenyu Li, MSc +4 more
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A Bayesian robust Kalman smoothing framework for state-space models with uncertain noise statistics [PDF]
EURASIP Journal on Advances in Signal Processing, 2018 The classical Kalman smoother recursively estimates states over a finite time window using all observations in the window. In this paper, we assume that the parameters characterizing the second-order statistics of process and observation noise are ...
Roozbeh Dehghannasiri +2 more
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Frequentist against Bayesian statistics: tug of war! [PDF]
Acute and Critical Care, 2022 Abhijit Nair
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Book Review: Bayesian Statistics for Beginners. A Step-by-Step Approach [PDF]
Front Psychol, 2020 J Perezgonzalez
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Journal of Applied Statistics, 2013 Classical statistics involves ways to test hypotheses and estimate confidence intervals. Bayesian statistics involves methods to calculate probabilities associated with your hypotheses. The result is a posterior distribution that combines information from your data with prior beliefs.
James B. Elsner, Thomas H. Jagger
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Modified Maximum Entropy Method and Estimating the AIF via DCE-MRI Data Analysis
Entropy, 2022 Background: For the kinetic models used in contrast-based medical imaging, the assignment of the arterial input function named AIF is essential for the estimation of the physiological parameters of the tissue via solving an optimization problem ...
Zahra Amini Farsani, Volker J. Schmid
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Critical Care Explorations, 2021 OBJECTIVES:. To evaluate factors predictive of clinical progression among coronavirus disease 2019 patients following admission, and whether continuous, automated assessments of patient status may contribute to optimal monitoring and management. DESIGN:.
Suchi Saria, PhD +8 more
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