Likelihood function

Related lectures (29)

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Explores the theory and applications of likelihood ratio tests in statistical hypothesis testing.

Covers the likelihood ratio test in choice models, benchmarking, and tests for taste variations and nonlinear specifications.

Explores exponential families, Bernoulli distributions, parameter estimation, and maximum entropy distributions in statistical modeling.

Covers statistical hypothesis testing, likelihood estimation, and confidence intervals construction.

Covers Conditional Maximum Likelihood estimation, contribution to likelihood, and MEV model application in choice-based samples.

Explores denoising signals with Gaussian mixture models and EM algorithm, EMG signal analysis, and image segmentation using Markovian models.

Delves into the statistical interpretation of artificial neural networks, exploring the likelihood of data and maximizing model accuracy.

Covers the sexing of guppy fish using Bayesian inference and decision rules.

Introduces Discrete Choice Analysis, covering scale, depth, data collection, and statistical inference.