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Related lectures (31)

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Choice with Multiple Alternatives: Specification of the Deterministic Part

Introduces choice models focusing on quantitative attributes and modeling heterogeneity.

Panel data: serial correlation

Explores the panel effect model with fixed and random effects, discussing estimation challenges and the impact of serial correlation.

CMOS Circuits: Metabolites Detection

Explores CMOS circuits for metabolites detection in fixed-voltage cells, covering operational amplifier features, saturation risks, temperature compensation, and current measurement techniques.

Natural Cubic Splines

Explains the construction of natural cubic splines, emphasizing smoothness and continuity in the function representation.

Modern Regression: Spring Barley Data

Covers iterative weighted least squares, Poisson regression, and Bayesian analysis of spring barley data using mixed models.

Generalized Additive Models: Applications and Techniques

Explores Generalized Additive Models, covering basics, smooth functions, penalties, practical examples in R, and linear mixed models.

Inference of Effects: Models and Interactions

Discusses constant and random coefficient models, factors optimization, and interactions estimation in performance analysis.

Deformable Structures II: Hyperstatic Systems and Virtual Work

Explores hyperstatic systems, virtual work, axial rigidity, and reduction of virtual displacements.

Mixture Models: Simulation-based Estimation

Explores mixture models, including discrete and continuous mixtures, and their application in capturing taste heterogeneity in populations.

Design of Experiments: Statistical Design and Analysis

Covers statistical design of experiments, focusing on minimizing costs and maximizing accuracy.