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Related lectures (31)

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Statistical Theory: Decision Theory Framework

Explores the Decision Theory Framework in Statistical Theory, viewing statistics as a random game with key concepts like admissibility, minimax rules, and Bayes rules.

Assumption-lean Inference: Generalised Linear Model Parameters

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

Statistical Models: Unitary Conformal Field Theories

Covers the connection between statistical models and unitary conformal field theories, focusing on critical points and the role of local fields.

Epidemic Spreading Models

Covers classical models of epidemic spreading and dynamics on networks with examples.

Optical Bloch Equations

Covers the derivation and solutions of Optical Bloch Equations for a two-level quantum system.

Statistical Inference: Linear Models

Explores statistical inference for linear models, covering model fitting, parameter estimation, and variance decomposition.

Optimal Control: Equivalent Problems

Discusses optimal control with a focus on three equivalent problems related to elastic strings.

Kinetic Theory of Gases: Statistical Distribution and Perfect Gas

Explores statistical distribution, perfect gas, equipartition principle, and virial theorem in gases.

Gaussian Acyclic Models: Linearity and Identifiability

Covers Gaussian Acyclic Models focusing on linearity and identifiability.

Composite Materials: Bounds and Microstructures

Delves into homogenization in composite materials, deriving rigorous bounds and discussing statistical parameters and microstructures.