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Related lectures (29)

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Signals & Systems II: Second Order Statistics

Explores second order statistics in signal processing, stationarity in random signals, and the distinction between ergodic and non-ergodic processes.

Optimization and Simulation

Covers the Metropolis-Hastings algorithm and gradient-based approaches for biasing searches towards higher likelihood values.

Interpolation: Spatial Phenomena and Methods

Covers global and local deterministic interpolation methods in geographic information systems, discussing expert knowledge, method selection, and uncertainty estimation.

Probability Theory: Central Limit Theorem

Explores probability theory, distribution of averages, and the central limit theorem.

Expectation of a Random Variable

Defines the expectation for random variables, emphasizing the importance of absolute values.

Decision Trees: Regression and Classification

Covers decision trees for regression and classification, explaining tree construction, feature selection, and criteria for induction.

Spatial Phenomena: Interpolation 1

Covers global and local interpolation methods in geographic information systems.

Maximum Likelihood Estimation

Covers maximum likelihood estimation, likelihood function, parameter estimation, and hypothesis testing.

Nosé-Hoover Thermostats: Real vs Virtual Variables

Explores Nosé-Hoover thermostats, emphasizing the difference between real and virtual variables.