15. Modeling of Data

15.0 Introduction       
15.1 Least Squares as a Maximum Likelihood Estimator .
15.2 Fitting Data to a Straight Line    
15.3 Straight-Line Data with Errors in Both Coordinates
15.4 General Linear Least Squares    
15.5 Nonlinear Models      
15.6 Confidence Limits on Estimated Model Parameters .
15.7 Robust Estimation      
15.8 Markov Chain Monte Carlo     .
15.9 Gaussian Process Regression    
16._Classification_and_Inference
16.0 Introduction       . .
16.1 Gaussian Mixture Models and k-Means Clustering
16.2 Viterbi Decoding      
16.3 Markov Models and Hidden Markov Modeling . .
16.4 Hierarchical Clustering by Phylogenetic Trees . .
16.5 Support Vector Machines     .

Author: Danny (remove the ".nospam" to send)

Last modification on: Wed, 15 Jul 2026 .