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In this video we discuss Ridge Regression and Lasso Regression. These two methods are also called penalized regression methods. They are useful when just a subset of the regression coefficients is…
Date of creation
3/21/2021 12:00 AM
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In this video we talk about Principal Components Regression. This method is useful to reduce the dimensionality of the predictors space and when the high number of predictors can cause collinearity…
Date of creation
3/21/2021 12:00 AM
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In this video we discuss Non-parametric regression methods: kernel estimators, smoothing splines and local polynomials
Date of creation
3/8/2021 12:00 AM
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In this video we talk about regression splines and how to set the number of knots or degrees of freedom (df)to define the design matrix. We also discuss how to select the number of knots or df using…
Date of creation
3/6/2021 12:00 AM
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In this video we talk about polynomial regression and piece-wise polynomials. We also define Cubic Splines and Natural Cubic Splines.
Date of creation
3/6/2021 12:00 AM
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In this video we discuss how to check the linear model structure using the partial regression plots. We discuss possible linearizing transformations and the Box-Cox as a normalizing transformation.
Date of creation
2/20/2021 12:00 AM
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In this video we discuss the Multiple Linear Regression; the LS estimation method and the geometrical interpretation of the LS estimates
Date of creation
1/29/2021 12:00 AM
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In this video we discuss the F-test and the ANOVA table, and explain the difference between estimation and prediction.
Date of creation
1/28/2021 12:00 AM
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In This video we discuss the properties of the LS estimators, and their probability distribution
Date of creation
1/28/2021 12:00 AM
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In this video we talk about the Least Square methods to find the Simple Linear Regression estimates, and we talk about the R-squared (Goodness of Fit) in SLR
Date of creation
1/21/2021 12:00 AM
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In this video we talk about the fundamental steps of Data Analysis and the origin of Regression Analysis
Date of creation
1/21/2021 12:00 AM
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