Roualdes
Teaching
MATH 314
MATH 456
Lecture Notes
Automatic Differentiation
Bernoulli Distribution
Bias (estimator)
Biotite Discrimination Diagram
Conditional Probability
Counting
Exponential Distribution
Fourier Transform Gaussian
ggplot2 patterns
Jensen's Inequality
LCS Geochemical Discrimination
Likelihood Method
Linear Models
Logistic Regression
Poisson Distribution
Forget Me Nots
MATH 456
meta
syllabus
intro git
homework
01
02
03
04
05
06
07
08
09
09 help
quizzes
01
02
solutions 01, 02
03
solutions
04
05
06
07
08
09
10
11
12
why what why and where.
lectures
ANOVA
Linear Regression
optimization, take 01
linear models assumptions
multiple linear regression
likelihood, Bernoulli
likelihood, (normal) linear regression
logistic regression
bootstrap
hierarchical models
regularization
pca
AIC
trees
regression tree
MCMC
exams
Practice Exam 01
solutions
Practice Exam 02
solutions