Index

A

ablation study aggregate

aleatoric uncertainty arithmetic mean

B

Bayes' theorem

Bayesianism bootstrap

C

central limit theorem classification conditional probability

confidence interval correlation covariance cumulative distribution function

D

degrees of freedom

disaggregation

E

Elementary Event elementary event embedding empirical CDF encoding dummy one-hot entropy

environment variable epistemic uncertainty estimand estimate estimator Euclidean norm Event event expected value

F

frequentism

G

geometric mean

H

HARKing heteroskedasticity

homoskedasticity hyperparameter

I

inference

instance iterative method

J

joint probability

L

label leakage linear model log odds

logistic function logit function L₁ Norm L₂ Norm

M

majority-class classifier marginal probability

matrix matrix decomposition, [1] mean

n.

sample

N

naïve Bayes, [1]

null hypothesis null hypothesis significance test

O

objective function odds

odds ratio operationalization overfitting

P

p-hacking p-value parameter

population prediction probability mass

R

random variable regression

regularization residual

S

sample size sampling distribution standard deviation standard error

standardization statistic supervision signal supervized learning

T

t-test test set

training set tuning set

U

unbiased estimator

unsupervised learning

V

validation set variable

variance vector vectorization