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

Home

Lecture

Parameter Estimation & Fisher Information

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (60)

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.

Recursive Least Squares Log in to Mediaspace to watch this video

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

Generalized Method of Moments (GMM)Log in to Mediaspace to watch this video

Introduces the Generalized Method of Moments (GMM) in econometrics, focusing on its application in instrumental variable estimation and asset pricing models.

Probability Spaces Log in to Mediaspace to watch this video

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

Binary Spiked Matrix Estimation Log in to Mediaspace to watch this video

Explores binary spiked matrix estimation, analyzing consistent equations and Bayesian estimators.

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.

Extreme Value Theory: Maximum Distribution Log in to Mediaspace to watch this video

Explores extreme value theory, focusing on maximum distribution and different types of distributions based on shape parameters.

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.

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.

Experimental Techniques: Neutrons vs X-rays Log in to Mediaspace to watch this video

Compares the use of neutrons and X-rays in experimental techniques, focusing on their different capabilities.

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.

Bias-Variance Tradeoff in Machine Learning Log in to Mediaspace to watch this video

Explores the Bias-Variance tradeoff in machine learning, emphasizing the balance between bias and variance in model predictions.

X-rays: From Discovery to Applications Log in to Mediaspace to watch this video

Explores the historical perspective, properties, and applications of X-rays, including diffraction, atomic resolution, and spectral colors of elements.

Wireless Receivers: Parameter Estimation Log in to Mediaspace to watch this video

Covers the challenges and techniques of parameter estimation in wireless receivers.

Image Processing II: Gaussian Classifiers and Neural Networks Log in to Mediaspace to watch this video

Explores Gaussian classifiers, texture classification, parameter estimation, supervised learning, and deep neural networks in image processing.

Dirichlet Problem on the Ball Log in to Mediaspace to watch this video

Covers the Dirichlet problem on the ball and the solution to the Dirichlet problem on the half plane.

Factor Models: Latent Variables and Asset Pricing Log in to Mediaspace to watch this video

Covers Factor Models, including PCA, asset pricing, factor investing, GMM, and Fama-McBeth estimation.

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.

Supervised Learning Fundamentals Log in to Mediaspace to watch this video

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

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.

Page 3 of 3