SATURDAY, March 10
9:30-11:00 (Session A)
Tutorial Session (In groups)
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Writing your own functions (Tutorial III D)
Day 4
11:30-13:00 (Session B - ARB)
Model building in R –IV
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Polynomial Regression (ISLR, poly, I(x^2), anova)
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Statistical Regularization (Ridge, Lasso)
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Important packages: ISLR
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Useful functions: cv.glmnet
14:30-16:00 (Session C - ARB)
Moving beyond linearity (Nonlinear Regression)
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Building nonlinear models in R (nls)
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Making predictions using nonlinear model
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Model diagnostics (Mean structure, variance homogeneity, independence or error)
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Remedies for model violations
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Delta method for estimating derived parameters (delta.method)
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Important Packages: MASS, nls2, nlstools, msm
16:30-18:00
Tutorial Session (In groups)
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Polynomial Regression, Statistical Regularization, Tutorial IV B
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Nonlinear Regression, Tutorial - IVC
9:00-9:30 (Session 0)
Doubt session: Doubts from day-3 will be discussed
