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A gentle introduction to Bayesian analysis
- Source :
- Child Development, 85, 842-860. Wiley, Child Development, Child Development, 85(3), 842. Wiley-Blackwell
- Publication Year :
- 2014
- Publisher :
- Wiley, 2014.
-
Abstract
- Bayesian statistical methods are becoming ever more popular in applied and fundamental research. In this study a gentle introduction to Bayesian analysis is provided. It is shown under what circumstances it is attractive to use Bayesian estimation, and how to interpret properly the results. First, the ingredients underlying Bayesian methods are introduced using a simplified example. Thereafter, the advantages and pitfalls of the specification of prior knowledge are discussed. To illustrate Bayesian methods explained in this study, in a second example a series of studies that examine the theoretical framework of dynamic interactionism are considered. In the Discussion the advantages and disadvantages of using Bayesian statistics are reviewed, and guidelines on how to report on Bayesian statistics are provided. http://dx.doi.org/10.1111/cdev.12169 http://onlinelibrary.wiley.com/doi/10.1111/cdev.12169/pdf
- Subjects :
- Biomedical Research
Human Development
Bayesian probability
Prior learning
050109 social psychology
Developmental research
Machine learning
computer.software_genre
Pediatrics
050105 experimental psychology
Education
Bayes' theorem
Statistics
Developmental and Educational Psychology
Humans
0501 psychology and cognitive sciences
Pediatrics, Perinatology, and Child Health
Bayes estimator
Frequentist probability
business.industry
05 social sciences
Data interpretation
Bayes Theorem
16. Peace & justice
Perinatology
Statistics::Computation
Bayesian statistics
and Child Health
Data Interpretation, Statistical
Pediatrics, Perinatology and Child Health
Artificial intelligence
business
Psychology
Development Methods
computer
Subjects
Details
- Language :
- English
- ISSN :
- 14678624 and 00093920
- Volume :
- 85
- Database :
- OpenAIRE
- Journal :
- Child Development
- Accession number :
- edsair.doi.dedup.....c273d5978935f50f4b20516891bdb669