RetractionWatch – Retracted papers, researchers with most retractions, and highly cited retracted papers
RetractionWatch is a blog that provides visitors with open access information about scientific corrections and retractions, with the …
The JASP team aims to improve current research practices by promoting Bayesian methods and facilitating their use in concrete applications (see https://jasp-stats.org/releases/DISCOVER_JASP_2017.pdf). In their blog, they provide Bayesian stories and ideas in a fun, interesting, and educational way.
“Bayesian methods provide a unifying framework for all of statistics, ranging from the test of simple hypotheses and the estimation of parameters to decision making using loss functions and the model-averaged prediction of key outcome variables. Bayesian methods are principled in the sense that they adhere to the laws of probability theory, meaning that all uncertainty is taken into account and that no contradictory statements can occur. At the same time, Bayesian methods are unparalleled in their flexibility, and uniquely allow researchers to make statements about the relative evidence for hypotheses and parameter values – and to seamlessly update those statements as data accumulate.”
NRIN devotes a great deal of attention to the website’s content and would greatly appreciate your suggestions of documents or links you believe to belong on this website.
This selection is an incomplete convenience sample, and does not reflect NRIN’s vision or opinion. Including an item does not necessarily mean that we agree with the authors nor does it imply we think unmentioned items are of poorer quality.
Please report any suggestions, inaccuracies or nonfunctioning hyperlinks etc. that you discover. Thanks in advance!Contact