Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Mixture models: alternative specific variance

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (52)

Probability Distributions in Environmental Studies Log in to Mediaspace to watch this video

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Eigenstate Thermalization Hypothesis Log in to Mediaspace to watch this video

Explores the Eigenstate Thermalization Hypothesis in quantum systems, emphasizing the random matrix theory and the behavior of observables in thermal equilibrium.

Chimpanzee Data Analysis Log in to Mediaspace to watch this video

Covers the analysis of chimpanzee data on learning times and explores generalized linear models and logistic regression.

Binary Response: Link Functions Log in to Mediaspace to watch this video

Explores binary response interpretation, link functions, logistic regression, and model selection using deviances and information criteria.

Supervised Learning Fundamentals Log in to Mediaspace to watch this video

Introduces the fundamentals of supervised learning, including loss functions and probability distributions.

Latent Space Models: Inference and Applications Log in to Mediaspace to watch this video

Explores latent space models, network representations, spectral decompositions, and parameter estimation methods.

Generalized Linear Models Log in to Mediaspace to watch this video

Covers Generalized Linear Models, likelihood, deviance, link functions, sampling methods, Poisson regression, over-dispersion, and alternative regression models.

Maximum Likelihood Estimation Log in to Mediaspace to watch this video

Introduces maximum likelihood estimation for statistical parameter estimation, covering bias, variance, and mean squared error.

Elements of Statistics: Probability, Distributions, and Estimation Log in to Mediaspace to watch this video

Covers probability theory, distributions, and estimation in statistics, emphasizing accuracy, precision, and resolution of measurements.

Probability Distributions: Central Limit Theorem and Applications Log in to Mediaspace to watch this video

Discusses probability distributions and the Central Limit Theorem, emphasizing their importance in data science and statistical analysis.

Precipitation and Hydrologic Design Log in to Mediaspace to watch this video

Covers methods to define the design storm, empirical distribution of rainfall maxima, Gumbel distribution, and intensity-duration-frequency relationships.

Estimating Moments: GEV and GPD Log in to Mediaspace to watch this video

Explores moment estimation in GEV and GPD models, including L-moment estimation and robust parameter estimation.

Probability Distributions: Basics and Properties Log in to Mediaspace to watch this video

Covers the basics of probability distributions, including mean, variance, and properties of random variables.

Normal Distribution: Characteristics and Examples Log in to Mediaspace to watch this video

Covers the characteristics and importance of the normal distribution, including examples and treatment scenarios.

Special Families of Models Log in to Mediaspace to watch this video

Explores completeness, minimal sufficiency, and special statistical models, focusing on exponential and transformation families.

Marginal Models: Interpretation and Application Log in to Mediaspace to watch this video

Explores marginal models in modern regression, emphasizing interpretation and application in statistical analysis.

Statistics: Exploratory Data Analysis Log in to Mediaspace to watch this video

Introduces statistics basics, including data analysis and probability theory, emphasizing central tendency, dispersion, and distribution shapes.

Probability Spaces Log in to Mediaspace to watch this video

Covers random variables, expectation, and distributions in probability spaces.

The Stein Phenomenon and Superefficiency Log in to Mediaspace to watch this video

Explores the Stein Phenomenon, showcasing the benefits of bias in high-dimensional statistics and the superiority of the James-Stein Estimator over the Maximum Likelihood Estimator.

Stochastic Models for Communications Log in to Mediaspace to watch this video

Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.

Page 2 of 3