Density of States and Bayesian Inference in Computational Mathematics

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Explicit Stabilised Methods: Applications to Bayesian Inverse Problems

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Estimation & Bayesian Inference

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Maximum Likelihood: Inference and Model Comparison

Explores maximum likelihood inference, model selection, and comparing models using likelihood ratios.

Maximum Likelihood Inference

Explores maximum likelihood inference, comparing models based on likelihood ratios and demonstrating with a coin example.

Distribution Estimation

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Point Estimation in Statistics

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Fisher Information, Cramér-Rao Inequality, MLE

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Estimators and Bias

Explores estimators, bias, and efficiency in statistics, emphasizing the trade-off between bias and variability.