Numerical Prediction
OUTLINE
Linear Response Analysis and theAssumptions of the Parametric Model
Parametric Statistical Analysis
Assumptions of the Parametric Model
Generalized Linear Models (GLMs)
Methods for Analyzing NonlinearRelationships
Nonlinear Regression and Estimation
Data Mining and Machine LearningAlgorithms Used in NumericalPrediction
Advantages of Classification andRegression Trees (C&RT) Methods
Support Vector Machines (SVMs) andOther Kernel Learning Algorithms
Preamble
Modern humans have always been fascinated with numbers. The Industrial Revolution was founded on Aristotelian logic and numerical relationships between movements ...
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