@ARTICLE {, title = {Lindleyův paradox}, author = {Emanovský, Petr}, journal = {Obzory matematiky, fyziky a informatiky}, year = {2022}, volume = {51}, number = {3}, pages = {23--32}, issn = {1335-4981}, abstract = {Lindley’s paradox in statistics refers to a situation where the frequentist and the Bayesian approach to testing a particular hypothesis leads to different conclusions. This paradox is a symbol of the conflict between two different approaches to statistical hypothesis testing. The article explains the essence of this paradox on a particular example and shows some possibilities of Bayesian data analysis}, }