Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Estimation and Correlation
Graph Chatbot
Related lectures (51)
Linear Regression: Estimation and Inference
Explores linear regression estimation, linearity assumptions, and statistical tests in the context of model comparison.
Measuring Learning Effects
Delves into measuring learning effects in digital education and analytics, covering research questions, variables, experimental design, and bias solutions.
Introduction to Data Analysis
Introduces data analysis basics, statistical concepts, Python libraries, and real-world applications.
Dependence Concepts and Copulas
Explores dependence concepts, copulas, correlation fallacies, and rank correlations in statistics.
Red bus/Blue bus paradox
Explores the Red bus/Blue bus paradox, nested logit models, and multivariate extreme value models in transportation.
Variance and Covariance: Properties and Examples
Explores variance, covariance, and practical applications in statistics and probability.
Quantifying Statistical Dependence: Covariance and Correlation
Explores covariance, correlation, and mutual information in quantifying statistical dependence between random variables.
Real Estate Data Analysis: Descriptive Statistics
Explores real estate data analysis through descriptive statistics, correlation, regression, and forecasting methods.
Statistics: Random Variables
Covers random variables, probability density functions, Gaussian distribution, and correlation in statistics.
Basics of Linear Regression
Log in to Mediaspace to watch this video
Covers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.
Comparison Statistics: Hypothesis Testing and ANOVA
Log in to Mediaspace to watch this video
Explores comparison statistics, hypothesis testing, ANOVA, correlation, and linear regression.
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.
Frame Synchronization: Systematic Derivation with Likelihood Test
Log in to Mediaspace to watch this video
Covers the systematic derivation of a synchronization algorithm with a generalized likelihood test in wireless receivers.
Elements of Statistics: Estimation & Distributions
Log in to Mediaspace to watch this video
Covers fundamental statistics concepts, including estimation theory, distributions, and the law of large numbers, with practical examples.
How to Lie with Statistics
Log in to Mediaspace to watch this video
Explores scientific misconduct, p-value optimization, and spotting issues with conclusions using real-world examples.
Central Limit Theorem: Properties and Applications
Log in to Mediaspace to watch this video
Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
Variance, Covariance, and Correlation
Log in to Mediaspace to watch this video
Explores variance, covariance, and correlation in statistics, essential for data analysis.
Linear Regression: Pearson Correlation
Log in to Mediaspace to watch this video
Covers the Pearson correlation, relationship direction, form, strength, and regression model assessment.
Signal Processing Fundamentals
Log in to Mediaspace to watch this video
Explores signal processing fundamentals, including discrete time signals, spectral factorization, and stochastic processes.
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.
Previous
Page 1 of 3
Next