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Opera

Technical Concepts

Bayesian

Bayesian analysis

Conjugate Prior

Markov Chain Monte Carlo

Hierarchal Bayesian Modeling

Posterior Distribution

Epidemiology

Reproductive number

Catalytic model

Vaccine efficacy

Fundamental Stats

Autocorrelation

Degrees of freedom

Error and Residuals

Statistical power

Linear algebra

Linear projections

Singular value decomposition

Cholesky decomposition

Matrix Bestiary

Machine learning

Feature engineering

Principal component analysis

ROC (Receiver operating characteristic)

Probability Distributions

A. Probability Distribution

Exponential Family

Bernoulli Distribution

Beta Distribution

Binomial Distribution

Dirichlet distribution

Erlang Distribution

Exponential Distribution

Gamma Distribution

Joint distribution

Multivariate Normal Distribution

Negative Binomial Distribution

Normal Distribution

Poisson Distributions

Student's t Distribution

Uniform Distribution

Von Mises Distribution

Regression

Generalized additive model (GAM)

Generalized linear models (GLM)

Homoscedasticity-Heteroscedasticity

Linear regression (LM)

Mixed effect model

Multiple regression

Stepwise variable selection

Statistic Fundamentals

Hypothesis testing

Statistical test

Test - Durbin-Watson

Test - Cohen's D

Theorem

Theorem - Central limit

Theorem - Frisch-Waugh-Lovell

Theorem - Gauss-Markov

Time series

Exponential smoothing models

Functions - Miscelleaneous

Jensen's inequality

Longitudinal Data

Marginalization

Model selection

Negative control outcomes

SMOTE (Synthetic minority oversampling technique)

Projects

Mambo_5_Bayesian

Maximum likelihood

Advice

Advice - Machine Learning

Advice - Regresion

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Generalized additive model (GAM)

#statistics #regression

Gist

An extension of generalized linear models with the addition of splines.

Mathematics

Uses

R

The de-facto package is

Connected Pages

Generalized additive model (GAM)

Gist
Mathematics
Uses
R

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