Statistical Modeling & Inference

2026 4

The Computational Revolution in Statistical Inference: Jackknife, Bootstrap, and Subsampling
From Principal Component Regression (PCR) to Partial Least Squares (PLS)
From Euclidean Space to Manifold Topology: Dimensionality Reduction for High-Dimensional Data
Questionnaire Reliability, Validity, and Structural Equation Modeling (SEM)

2025 3

Sampling Survey: Sampling Design, Estimation Methods, and Data Quality
Advanced Linear Regression: Goodness of Fit, Model Selection, and Collinearity Nonlinear Regression: Intrinsic Nonlinearity, Polynomial Models, and Nonlinear Least Squares

2024 3

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