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

Home

Lecture

Confidence Intervals and Hypothesis Testing

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (58)

Review Session: Module 1 Log in to Mediaspace to watch this video

Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.

Binomial and Poisson Mass Functions Log in to Mediaspace to watch this video

Explores binomial and Poisson mass functions, calculating probabilities and discussing distribution functions of random variables.

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.

Block Pulled by a Spring Log in to Mediaspace to watch this video

Explores the dynamics of a block pulled by a spring under various conditions.

Vertical Metronome: Equilibrium and Stability Log in to Mediaspace to watch this video

Explores equilibrium and stability of a vertical metronome system with springs.

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.

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.

Probability Fundamentals Log in to Mediaspace to watch this video

Introduces fundamental probability concepts, including events, complements, conditional probability, and random variables.

Untitled Log in to Mediaspace to watch this video

Rigorous Bounds: Isotropic Phases Log in to Mediaspace to watch this video

Explores rigorous upper and lower bounds for isotropic phase composites and their microstructure arrangement, focusing on laminated plates and stress-strain relationships.

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.

Data-Driven Modeling in Neuroscience: Meenakshi Khosla Log in to Mediaspace to watch this video

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

Error Estimation in LHS Log in to Mediaspace to watch this video

Covers error estimation in Latin Hypercube Sampling, emphasizing the importance of accurate variance estimation.

Expectation Maximization: Learning Parameters Log in to Mediaspace to watch this video

Covers the Expectation Maximization algorithm for learning parameters and dealing with unknown variables.

Understanding Risk and Uncertainty Log in to Mediaspace to watch this video

Explores risk, uncertainty, subjective probabilities, and decision-making under different scenarios.

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.

Martingales and Brownian Motion: Leaving Intervals and Maximum Distribution Log in to Mediaspace to watch this video

Explores the average time for a Brownian motion to leave an interval and the maximum distribution.

Bayesian Extremes: Markov Chain Monte Carlo Log in to Mediaspace to watch this video

Explores Bayesian techniques for extreme value problems, including Markov Chain Monte Carlo and Bayesian inference, emphasizing the importance of prior information and the use of graphs.

Page 3 of 3