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

Home

Lecture

Statistical Models: Sampling and Hypothesis Testing

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (55)

Estimation and Correlation Log in to Mediaspace to watch this video

Explains estimation, correlation, and Pearson correlation in statistics, focusing on measuring and describing relationships between variables.

Model Assessment: Metrics and Selection Log in to Mediaspace to watch this video

Explores model assessment metrics, selection techniques, bias-variance tradeoff, and handling skewed data distributions in machine learning.

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.

Point Estimation in Statistics Log in to Mediaspace to watch this video

Covers the concept of point estimation in statistics, focusing on methods to estimate unknown parameters from a given sample.

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.

Asymmetric Parametric Models: Extremal Coefficient Log in to Mediaspace to watch this video

Explores asymmetric parametric models and the extremal coefficient in extreme value dependence.

Data Analysis Techniques: Amplitude Shift Keying and Graphical Methods Log in to Mediaspace to watch this video

Covers amplitude shift keying and various data analysis techniques using Jupyter Notebooks.

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.

Chaos Engineering: Advanced Principles Log in to Mediaspace to watch this video

Explores advanced Chaos Engineering principles, risk management, automation, and fault injection testing.

Statistical Analysis of Extremes: Risk Measures & Inference Log in to Mediaspace to watch this video

Explores risk measures, inference techniques, and statistical analysis of extreme values.

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.

Statistical Signal Processing Tools Log in to Mediaspace to watch this video

Explores statistical signal processing tools for wireless communications, including spectral estimation and signal detection, classification, and adaptive filtering.

Funding an Idea: Sources and Steps Log in to Mediaspace to watch this video

Explores funding an idea, big data analysis, and statistics basics with insights on avoiding common pitfalls.

General Linear Model: Model Selection Log in to Mediaspace to watch this video

Explores the General Linear Model, significance testing, model selection, and parameter inference.

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.

Page 3 of 3