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

Home

Lecture

Maximum Likelihood Estimation: Properties and Applications

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (54)

Statistical Theory: Cramér-Rao Bound & Hypothesis Testing Log in to Mediaspace to watch this video

Explores the Cramér-Rao bound, hypothesis testing, and optimality in statistical theory.

Maximum Likelihood Estimation Log in to Mediaspace to watch this video

Delves into maximum likelihood estimators, their properties, and asymptotic behavior, emphasizing consistency and asymptotic normality.

Maximum Likelihood Estimation: Econometrics Log in to Mediaspace to watch this video

Introduces Maximum Likelihood Estimation in econometrics, covering principles, properties, applications, and specification tests.

L-Moment Estimation: Probability-Weighted Moments Log in to Mediaspace to watch this video

Covers L-moment estimation, probability-weighted moments, and maximum likelihood inference basics.

Statistical Theory: Maximum Likelihood Estimation Log in to Mediaspace to watch this video

Explores the consistency and asymptotic properties of the Maximum Likelihood Estimator, including challenges in proving its consistency and constructing MLE-like estimators.

Gaussian Mixture Models & Noisy Signals Log in to Mediaspace to watch this video

Explores Gaussian mixture models and denoising noisy signals using a probabilistic approach.

Normal Distribution: Properties and Calculations Log in to Mediaspace to watch this video

Covers the normal distribution, including its properties and calculations.

Decentralized Storage & Distribution: BitTorrent & IPFS Log in to Mediaspace to watch this video

Explores decentralized storage & distribution using BitTorrent & IPFS, covering goals, challenges, building specifications, integrity, bootstrapping, performance, incentives, versioning, naming, and CRDTs.

Statistical Theory: Inference and Optimality Log in to Mediaspace to watch this video

Explores constructing confidence regions, inverting hypothesis tests, and the pivotal method, emphasizing the importance of likelihood methods in statistical inference.

Dispersion Models: Understanding Axial Dispersion Coefficient Log in to Mediaspace to watch this video

Explores dispersion models and the axial dispersion coefficient in fluid systems.

Clustering & Density Estimation Log in to Mediaspace to watch this video

Covers clustering, PCA, LDA, K-means, GMM, KDE, and Mean Shift algorithms for density estimation and clustering.

Elements of Statistics: Memorylessness, Stationary Processes, Estimation using MLE Log in to Mediaspace to watch this video

Explores memorylessness in distributions, stationary processes, and estimation using MLE.

Topic Models: Latent Dirichlet Allocation Log in to Mediaspace to watch this video

Covers topic models, focusing on Latent Dirichlet Allocation, clustering, GMMs, Dirichlet distribution, LDA learning, and applications in digital humanities.

Sparsest Cut: Leighton-Rao Algorithm Log in to Mediaspace to watch this video

Covers the Leighton-Rao algorithm for finding the sparsest cut in a graph, focusing on its steps and theoretical foundations.

Confidence Intervals and MLE Limit Theorems Log in to Mediaspace to watch this video

Explores constructing confidence intervals and MLE limit theorems for large samples.

Clustering & Density Estimation Log in to Mediaspace to watch this video

Covers dimensionality reduction, PCA, clustering techniques, and density estimation methods.

Estimating R Log in to Mediaspace to watch this video

Covers the estimation of R, including the continuity theorem and limit laws for random variables.

Generalized Linear Models: A Brief Review Log in to Mediaspace to watch this video

Provides an overview of Generalized Linear Models, focusing on logistic and Poisson regression models, and their implementation in R.

Decision Rules: Maximum a Posteriori Decision Log in to Mediaspace to watch this video

Explores decision rules based on likelihood ratios and the maximum a posteriori decision.

Statistical Models and Parameter Estimation Log in to Mediaspace to watch this video

Explores statistical models, parameter estimation, and sampling distributions in probability and statistics.

Page 2 of 3