Concept
Bootstrapping (statistics)
Related lectures (63)
Statistical Mechanical Resistance: Ceramics
Covers statistical mechanical resistance in ceramics, including Weibull statistic and stable cracking behavior in compression.
Graph Coloring: Theory and Applications
Covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring.
Introduction to Financial Markets and Time Series
Introduces financial markets, time series, machine learning applications in finance, and natural language processing.
Statistical Inference: Approximate Critical Values and Confidence Intervals
Covers the construction of confidence intervals and approximate critical values in statistical inference.
Confidence Intervals: Student, Asymptotic Wald
Covers confidence intervals for Gaussian means, Student distribution, and Wald confidence intervals for maximum likelihood estimators.
Correlated and Uncorrelated Sampling
Explains correlated and uncorrelated sampling for generating random variables with given weight functions.
Ensemble Methods: Random Forests
Covers ensemble methods like random forests and Gaussian Naive Bayes, explaining how they improve prediction accuracy and estimate conditional Gaussian distributions.
Sampling Theory: Statistics for Mathematicians
Covers the theory of sampling, focusing on statistics for mathematicians.
Interval Estimation
Covers the construction of confidence intervals for a normal distribution with unknown mean and variance.
Types of Supports in Structures
Explores various types of supports in structures and their role in restricting movement and generating reactions.