Statistical inference

Related lectures (31)

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Explores anomaly detection in network data and exchangeability extensions for statistical analysis.

Covers inference problems related to the Spin Glass Game and the challenges of making mistakes with preb P.

Covers the basics of linear regression and how to solve estimation problems using least squares and matrix notation.

Explores optimality in decision theory and unbiased estimation, emphasizing sufficiency, completeness, and lower bounds for risk.

Focuses on the inference of reaction kinetics in combustion, covering rules inference, sensitivity analysis, and Bayesian inference.

Explores link prediction, logistic regression, causal inference, and biclustering in statistical network analysis.

Explores assumption-lean inference for statistical estimands in generalised linear models, emphasizing robust and generic approaches.

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

Covers statistical analysis, emphasizing data exploration and inference to quantify uncertainty and draw conclusions.

Explores hydraulic installations' basic data, including evaporation values, flow rate measurements, and flood estimation methods.