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Course notes, concept maps, practice systems, and academic essays.
Subject Brief / STA305
Experimental Design
Design of experiments, ANOVA, factorial structures, randomization tests, causal inference, power planning, and multiple comparisons.
Core Map
Generated map of experimental design, ANOVA, factorial designs, regression, and reference material.
Practice / Review
Final and midterm practice material, exam patterns, power planning, and randomization drills.
Essays / Projects
Project-style writing around factorial experiments and model evaluation.
Reference / Notation
Notation index, assumptions, effect sizes, tests, and compact definitions. Subject Brief / STA414
Machine Learning II
Probability foundations, Bayesian inference, latent variable models, EM, variational inference, graphical models, sampling, and neural networks.
Core Map
Key concepts, theorems, probability foundations, and model frameworks.
Practice / Review
Worked examples, inference derivations, EM patterns, and exam-support notes.
Essays / Projects
Analyses, project reports, and research-style write-ups connected to modeling.
Reference / Notation
Formula sheets, notation guides, distributions, and compact reference pages. Subject Brief / STA437
Multivariable Statistics
PCA, factor analysis, ICA, matrix methods, multivariable proofs, practice sets, and handwritten digit analysis.
Concepts
PCA, factor analysis, ICA, linear algebra, proof notes, and core definitions.
Practice / Review
Exercises, midterm review, final prediction, simulation, and answer notes.
Essays / Projects
Long-form analysis around handwritten digits and structural linear dependencies.
Reference / Notation
Matrix classification, linear algebra basics, and supporting formula work. Subject Brief / STA447
Stochastic Processes
Markov chains, martingales, stopping times, Brownian motion, Ito integrals, quadratic variation, and advanced probability tools.
Subject Brief / STA457
Time Series Analysis
Stationarity, autocovariance, white noise, decomposition, linear processes, AR/MA/ARMA models, forecasting, and prediction.
Core Map
Generated map for stationarity, ACF, linear processes, ARMA, forecasting, and prediction.
Practice / Review
Final-review questions, timestamped videos, drills, and exam-pattern notes.
Essays / Projects
Longer modeling notes and applications connected to time-series workflows.
Reference / Notation
Formula details, stationarity checks, operators, and compact computational references. Subject Brief / ESSAYS
Academic Essays
Long-form academic writing, project reports, data analysis, and research-style notes connected to the course archive.
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