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Related lectures (32)

Weighted Least Squares Estimation: IRLS Algorithm

Explores the IRLS algorithm for weighted least squares estimation in GLM.

Generalized Linear Models: Examples and Applications

Explores special examples of Generalized Linear Models, covering logistic regression, count data models, separation issues, and nonparametric relationships.

Stochastic Simulation: Computation and Estimation

Covers computation and estimation in stochastic simulation, focusing on generating iid replicas and optimal importance sampling.

Modeling Neurobiological Signals: Markov Chains

Explores modeling neurobiological signals with Markov Chains, focusing on parameter estimation and data classification.

QUCS Parameter Sweeps

Covers the process of doing parameter sweeps in QUCS, focusing on setting up and configuring the simulation type 'parameter sweep' with linear values.

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Recursive Least Squares

Covers the Recursive Least Squares method for parameter estimation based on observation equations and design matrices.

Renormalization Group: Universal Critical Exponents

Explores the universal critical exponents of microscopic systems and the role of the renormalization group.

Extreme Value Analysis: Threshold Selection

Discusses threshold selection in extreme value analysis and its impact on model performance.

Behavior Modeling: Simple Example

Introduces behavior modeling through a simple example, focusing on analyzing the market for electric cars.

Optimization and Simulation

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

Introduction to Behavior Modeling: Simple Example

Introduces behavior modeling through a simple example, focusing on choice modeling components and the analysis of the electric car market.

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