An Overview of Machine Learning and Pattern Recognition
An Overview of Causal Directed Acyclic Graphs
An Introduction to Statistical Learning: with Applications in R
An Introduction to Stan and RStan
An Introduction to Regression Analysis
An Introduction to Multivariate Modeling Techniques
An introduction to modern missing data analyses
An Introduction to Logistic Regression
an introduction to hypothesis-testing and experimental design
An Introduction to Functional MRI
An Introduction to Bootstrap Methods with Applications to R
An introduction to Bootstrap Methods Outline Monte Carlo
An Integrated Framework for Regression Based on Association Rules
An Integrated Framework for Financial Positions and Flows
An Input Variable Selection Method for the Artificial Neural Network
An Inference-based Prognostic Framework for Health
An illustration of multilevel models for ordinal response data
An Example of a Good Outline
An Examination of Consumer Behavior in the
An Evaluation of Tax Credits for Residential Energy
