Method for adjusting results of pharmacoeconomic studies from country to country using Bayesian statistics [PDF]
Hospital Pharmacology, 2021 Introduction: Key problems when transferring results of pharmacoeconomic studies between countries are: relative infrequency of observational design, utilization of unreliable estimates of input parameters in many of modelling studies, not reporting ...
Janković Slobodan M. +2 more
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Improving Bayesian statistics understanding in the age of Big Data with the bayesvl R package [PDF]
, 2020 The exponential growth of social data both in volume and complexity has increasingly exposed many of the shortcomings of the conventional frequentist approach to statistics.
Ho, Manh-Toan +5 more
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Power of Probability in Psychometrics. Review of the book “Bayesian Psychometric Modeling“
Вопросы образования, 2023 The emergence and development of Bayesian psychometrics is a result of psychometrics' desire to reduce measurement error. This book is the first to present a systematic description of the Bayesian approach in psychometric research.
Ирина Угланова
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Change-point model on nonhomogeneous Poisson processes with application in copy number profiling by next-generation DNA sequencing [PDF]
, 2012 We propose a flexible change-point model for inhomogeneous Poisson Processes, which arise naturally from next-generation DNA sequencing, and derive score and generalized likelihood statistics for shifts in intensity functions.
Shen, Jeremy J., Zhang, Nancy R.
core +3 more sources
Learning Summary Statistics for Bayesian Inference with Autoencoders
SciPost Physics Core, 2022 For stochastic models with intractable likelihood functions, approximate Bayesian computation offers a way of approximating the true posterior through repeated comparisons of observations with simulated model outputs in terms of a small set of summary
Carlo Albert, Simone Ulzega, Firat Ozdemir, Fernando Perez-Cruz, Antonietta Mira
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Why Bayesian Ideas Should Be Introduced in the Statistics Curricula and How to Do So
Journal of Statistics Education, 2020 While computing has become an important part of the statistics field, course offerings are still influenced by a legacy of mathematically centric thinking.
Andrew Hoegh
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Estimation Of Parameters And Selection Of Models Applied To Population Balance Dynamics Via Approximate Bayesian Computational [PDF]
Journal of Heat and Mass Transfer Research, 2022 Population balance models mathematically describe the particle size distribution based on modeling physical phenomena that influence the distribution, such as aggregation, growth, and breakage.
Carlos Moura +4 more
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Philosophy and the practice of Bayesian statistics [PDF]
, 2010 A substantial school in the philosophy of science identifies Bayesian inference with inductive inference and even rationality as such, and seems to be strengthened by the rise and practical success of Bayesian statistics.
Abbott +138 more
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The concept of probability, crisis in statistics, and the unbearable lightness of Bayesing
Science & Philosophy, 2023 Education in statistics, the application of statistics in scientific research, and statistics itself as a scientific discipline are in crisis. Within science, the main cause of the crisis is the insufficiently clarified concept of probability.
Boris Čulina
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A Web Simulator to Assist in the Teaching of Bayes’ Theorem
Journal of Statistics Education, 2019 Teaching some concepts in statistics greatly benefits from individual practice with immediate feedback. In order to provide such practice to a large number of students we have written a simulator based on an historical event: the loss in May 22, 1968 ...
M. J. Bárcena +4 more
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