Stats Resources

test

Holding all other variables fixed at their observed values - or ceteris paribus - a one unit increase in \(wt\) implies a -3.87783 units change in \(mpg\). Similarly, one more \(hp\) horse power implies a change in \(mpg\) of -0.03177 units, all else (i.e. \(wt\)) equal.

General Learning Stuff

Data Science and Statistics Symposium 2019

All Hypothesis Tests are Linear Models

The Algorithmic Foundations of Adaptive Data Analysis

https://adaptivedataanalysis.com/lecture-schedule-and-notes/

Discrete Event Simulation

In R!

https://r-simmer.org/index.html

Posterior Draws

https://wilkelab.org/ungeviz/articles/posterior-draws.html

Path Analysis

https://www.kdnuggets.com/2018/09/introducing-path-analysis-using-r.html

Model Selection

https://sebastianraschka.com/blog/2018/model-evaluation-selection-part4.html

Non-Linear Regression

https://datascienceplus.com/first-steps-with-non-linear-regression-in-r/

Bayes Dynamic Factor Analysis

https://cran.r-project.org/web/packages/bayesdfa/index.html

Using Stan

Introduction

http://www.alexpghayes.com/blog/some-things-ive-learned-about-stan/

Confidence Intervals for GLMs

Do it right… https://www.fromthebottomoftheheap.net/2018/12/10/confidence-intervals-for-glms/

Simon Jackmon Examples

https://jrnold.github.io/bugs-examples-in-stan/index.html in Stan!

Tidybayes Examples

Compose Stan for Stan

http://mjskay.github.io/tidybayes/reference/compose_data.html

Recover Types

http://mjskay.github.io/tidybayes/reference/recover_types.html

Mixed Models

http://rpubs.com/tjmahr/tidybayes-on-a-mixed-model

Mixture Models in Stan

Data Generation

Correlated Variables with Chol

State Space

https://statmodeling.stat.columbia.edu/2019/04/15/state-space-models-in-stan/

stan structural time series

BDA Exercises

https://github.com/torkar/BDA_in_ESE/blob/master/toy_example.Rmd

Stan Missing Data

https://magesblog.com/post/2018-08-02-use-domain-knowledge-to-review-prior-predictive-distributions/

http://srmart.in/a-foray-into-bayesian-handling-of-missing-data/

stan cfa bayesian factor analysis bayes factor analysis 2

accelerated time failure

cross validation on hierarchical models

BDA Demos More BDA Demos

gelman and hill chapter 3

Hierarchical 2PL

Change Point Analysis with Stan

More changepoint analysis

Law of Learning

Stan SEM

http://rpubs.com/jebyrnes/343408

Robust Bayesian Regression

Challenges of Survey Weights

https://statmodeling.stat.columbia.edu/2019/10/29/non-random-missing-data-weights-generative-model/

Research and Methods Resources
me.dewitt.jr@gmail.com

Winston- Salem, NC

Michael DeWitt

Copyright © 2018 Michael DeWitt. All rights reserved.