JSTOR Daily

Generalized Laplacian Approximations in Bayesian Inference

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 23, No. 4 (Dec., 1995), pp. 399-410 (12 pages) This paper presents a new Laplacian approximation to the posterior density ...
JSTOR Daily

A Framework for Bayesian and Likelihood Approximations in Statistics

Regular Bayesian and frequentist approximations in statistics are studied within a unified framework. In particular it is shown how some higher-order likelihood-based approximations arise from their ...
Science Daily

New method to identify symmetries in data using Bayesian statistics

Scientists have developed a method to identify symmetries in multi-dimensional data using Bayesian statistical techniques. Bayesian statistics has been in the spotlight in recent years due to ...
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Bayesian Machine Learning

This course is available on the MSc in Applied Social Data Science, MSc in Data Science, MSc in Econometrics and Mathematical Economics, MSc in Health Data Science, MSc in Quantitative Methods for ...
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Bayesian Machine Learning

This course is available on the MSc in Applied Social Data Science, MSc in Data Science, MSc in Quantitative Methods for Risk Management, MSc in Statistics, MSc in Statistics (Financial Statistics), ...