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Related lectures (32)
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Yule Walker Equations: Efficient Implementation and Correlation Analysis
Explores Yule Walker equations for efficient implementation and correlation analysis in signal processing.
Central Limit Theorem: Properties and Applications
Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.
High-order Correlations in Massive Datasets
Delves into high-order correlations in massive datasets and their importance.
Variance, Covariance, and Correlation
Explores variance, covariance, and correlation in statistics, essential for data analysis.
Multi-dimensional correlation spectroscopy: INEPT and HSQC
Explains coherence transfer techniques in multi-dimensional NMR spectroscopy.
Correlation Functions in Loop Models: Structural Assumptions
Covers correlation functions in loop models and the role of degenerate fields in conformal field theory.
Autocorrelation and Periodicity
Explores autocorrelation, periodicity, and spurious correlations in time series data, emphasizing the importance of understanding underlying processes and cautioning against misinterpretation.
Four Functions Theorem
Explores the Four Functions Theorem, covering positive correlation, XY2 inequality, and monotone increasing property.
Principles of Finance: Risk and Return
Explores risk and return in finance, covering securities' performance, rates of return, variance, volatility, and portfolio diversification.
Variance Reduction Techniques
Covers variance reduction techniques in stochastic simulation to improve accuracy and efficiency.
Stylized Facts: Reproducible Research
Covers stylized facts in finance and reproducible research in scientific computing.
Real Estate Data Analysis: Descriptive Statistics
Explores real estate data analysis through descriptive statistics, correlation, regression, and forecasting methods.
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