Results 221 to 230 of about 425,037 (266)
Some of the next articles are maybe not open access.
2012
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
openaire +4 more sources
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
openaire +4 more sources
2019
Abstract Chapter 4 introduces the concept of Bayesian inference. The chapter discusses the scientific method, and illustrates how Bayes’ Theorem can be used for scientific inference. Bayesian inference is the use of Bayes’ Theorem to draw conclusions about a set of mutually exclusive and exhaustive alternative hypotheses by linking prior
Therese M. Donovan, Ruth M. Mickey
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Abstract Chapter 4 introduces the concept of Bayesian inference. The chapter discusses the scientific method, and illustrates how Bayes’ Theorem can be used for scientific inference. Bayesian inference is the use of Bayes’ Theorem to draw conclusions about a set of mutually exclusive and exhaustive alternative hypotheses by linking prior
Therese M. Donovan, Ruth M. Mickey
+4 more sources
Bayesian inference of gene expression states from single-cell RNA-seq data
Nature Biotechnology, 2021Jérémie Breda +2 more
exaly
Bayesian statistics and modelling
Nature Reviews Methods Primers, 2021Rens van de Schoot +2 more
exaly