Slash distributions offer a flexible framework for modelling heavy-tailed phenomena and atypical data behaviour in statistical inference. Originating as a means to construct distributions with ...

Specialization: Data Science Foundations: Statistical InferenceInstructor: Dr. Jem Corcoran, Associate Professor in Applied MathematicsPrior knowledge ...

Statistical inference on the circle may strongly depend on the chosen reference system. Here, we introduce necessary and sufficient conditions to avoid inferential problems and misinterpretation of ...

Challenges at the interface of medical statistics and AI are population inference vs. prediction, generalizability, reproducibility and interpretation of evidence, and stability and statistical gua ...

Ngai-Hang Chan, Jian Chen, Xiaohong Chen, Yanqin Fan, Liang Peng, STATISTICAL INFERENCE FOR MULTIVARIATE RESIDUAL COPULA OF GARCH MODELS, Statistica Sinica, Vol. 19, No. 1 (January 2009), pp. 53-70 ...

Advanced Statistical Inference Properties of estimators: unbiasedness, consistency, efficiency and sufficiency. Methods of estimation with particular emphasis given to the method of maximum likelihood ...

The course covers the probability, distribution theory and statistical inference needed for advanced courses in statistics and econometrics. Michaelmas term: Probability.

Introductory chapters provide elementary statistical concepts as applied to clinical trials and an overview of statistical inference, including discussions of power, sample size calculations, p-values ...