Advanced Regression

Course
143 Lessons

Bayesian regression can solve a variety of real world problems. In this course, we'll use modern packages such as PyMC and Bambi. We'll answer questions about product pricing, election estimation, and more.

Syllabus

About this Course

Why we created it, who's it for, and what to expect

Welcome to Advanced Regression

1 min
17.7 MB

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The Problem with Ordinary Regression

3 mins
6.22 MB

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Bayesian Generalized Linear Models

2 mins
7.67 MB

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What's Different Now

2 mins
3.7 MB

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Who This Course is For

4 mins
10.1 MB

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Outline and Prequisites

3 mins
6.54 MB

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Course Presurvey

Lesson Feedback

Meet your Instructors

12 mins
179 MB

Resource Library

Instructions on how access the various resources provided in this course

Intuitive Bayes Discourse Community

Github Repository and Code Access

Environment Installation with Anaconda

13 mins
247 MB

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Optional Orientation: Discourse

2 mins
4.45 MB

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Optional Orientation: Github

2 mins
2.98 MB

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Optional Orientation: Podia

4 mins
10.8 MB

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Regression Refresher

Revisiting the fundamentals

Introduction

7 mins
13.1 MB

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Exploratory Data Analysis

15 mins
27.5 MB

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Making a Plan

4 mins
8.14 MB

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The World's Simplest Model

13 mins
23.5 MB

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Adding a Slope

11 mins
26 MB

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Transformations

14 mins
25.4 MB

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Accounting for Species

17 mins
32.1 MB

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When We Catch New Fish

11 mins
22.2 MB

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From Predictions to Insights

7 mins
13.3 MB

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Bayesian Workflow and Growing Pains

8 mins
14.2 MB

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Lesson Recap

9 mins
13.6 MB

Preview

Lesson Feedback

Lesson References

Lesson Exercises

Bambi Deep Dive

In this lesson we'll introduce you to Bambi, an incredibly useful tool for Bayesian practitioners

Introduction

6 mins
11.6 MB

The World's Simplest Model, Now Simpler

13 mins
30.8 MB

Peeking Under The Hood

11 mins
24.8 MB

Sloping Up

12 mins
22.1 MB

Transformations in Bambi

11 mins
208 MB

Modeling Categories

9 mins
44 MB

Parameter Identifiability

19 mins
51.3 MB

Understanding Encodings

20 mins
55.8 MB

The Full Model

15 mins
32.6 MB

Predictions

12 mins
29.1 MB

An End to End Trip with Bambi

28 mins
50.9 MB

Lesson Recap

9 mins
16.3 MB

Lesson Feedback

Lesson Exercises

Lesson References

Advanced AB Testing and Link Functions

Taking regression to the next level

Introduction

2 mins
4.47 MB

Basic AB Test

4 mins
7.97 MB

AB Testing with Continuous Covariates

5 mins
12 MB

Link Functions and Generalized Linear Models

6 mins
12.3 MB

AB Testing End to End

6 mins
10.3 MB

United States Election Forecasting

6 mins
11.5 MB

Lesson Recap

4 mins
7.06 MB

Lesson Feedback Form

Lesson Exercises

Lesson References

Categorical Regression

When there's more than 2 options and you don't know what to do!

Introduction

11 mins
38.5 MB

Nerdy crêpes

12 mins
34.7 MB

Our First Categorical model

15 mins
38.4 MB

Killing Me Softmax

9 mins
22.7 MB

Running our Categorical regression

18 mins
50 MB

Adding Regressors

17 mins
48.2 MB

Fun with Shapes

11 mins
54.1 MB

Unpleasant Probabilities

8 mins
33.1 MB

Sampling & Diagnosing

8 mins
25.1 MB

Debugging our model

16 mins
46.4 MB

Categorical model with Bambi

22 mins
64.6 MB

Introducing pm.ZeroSumNormal

24 mins
95.8 MB

SALK EDA

19 mins
55.8 MB

Coding the Salk model in PyMC

21 mins
58.4 MB

Sampling the Salk model

20 mins
73.5 MB

Estonia, Bambi styyyyyle!

19 mins
63.4 MB

Lesson Recap

11 mins
29.6 MB

Lesson Exercises

Lesson References

Lesson Feedback

Multinominal Regression

How aggregating counts allows for even more powerful estimations

Introduction

8 mins
18.7 MB

Aggregating the Estonian data

10 mins
36.5 MB

Introducing geographical variables

6 mins
15.6 MB

Writing the Multinomial model

9 mins
21.3 MB

Coding the Model

31 mins
88.5 MB

Sampling & Posterior analysis

12 mins
43.1 MB

Taking all effects into account

8 mins
30 MB

Posterior Schematics

12 mins
35.9 MB

Taking sample size into account

23 mins
67 MB

Defining & Sampling the Bambi Multinomial model

19 mins
336 MB

Analyzing the posterior effects

12 mins
316 MB

Computing the latent probabilities

18 mins
69.2 MB

Comparing PyMC and Bambi estimates

27 mins
66.1 MB

Posterior Retrodictive Sampling

19 mins
58.3 MB

Lesson Recap

16 mins
51.1 MB

Lesson Exercises

Lesson References

Lesson Feedback

Counting Things

Going back to the basics

Introduction

3 mins
11 MB

Counting Things

13 mins
43.4 MB

Counting Regression

14 mins
52.1 MB

Poisson Distributions in Sports

5 mins
18.7 MB

Soccer Statistics

11 mins
38.7 MB

Home Field Advantage

14 mins
52.4 MB

Zero Inflated Poisson

11 mins
32.9 MB

Zero Inflated Fish

23 mins
80.2 MB

Lesson Recap

4 mins
12.1 MB

Lesson Exercises

Lesson Feedback

Lesson References

Overdispersed Regression

When distributions need some extra help

12 segundos de oscuridad

9 mins
32.3 MB

Unanticipated consequences

21 mins
69.4 MB

What's the deal with overdispersion

11 mins
33.3 MB

When the whole is more than the sum of the parts

19 mins
56.5 MB

Negative binomial regression

12 mins
35.6 MB

Overdispersion for all

21 mins
54.9 MB

Beta-binomial to the rescue

16 mins
40.3 MB

The beta-binomial model in action

18 mins
49.7 MB

Counting grasshoppers

25 mins
76.1 MB

Beta-binomial for grasshoppers

19 mins
51.4 MB

Lesson Recap

11 mins
27.9 MB

Lesson Feedback

Lesson References

Lesson Exercises

Hierarchical Models

Introduction

13 mins
89.4 MB

Pulling and Unpooling Extremities

16 mins
75.9 MB

Simple Hierarchical Model

18 mins
125 MB

Regularization to the mean

15 mins
64.8 MB

Complete Hierarchical Model

6 mins
30.3 MB

Non-centered hierarchical model

8 mins
62.9 MB

Sampling & Posterior Analysis

14 mins
58.8 MB

In-sample Predictions

5 mins
21.3 MB

Analysis of Variance

6 mins
26 MB

LOO comparison

10 mins
47.1 MB

Predicting on new groups

16 mins
55.5 MB

Estonian Hierarchy

11 mins
72.5 MB

Writing down the Hierarchical Model

43 mins
142 MB

Coding the Full Model

27 mins
187 MB

Hierarchical Multinomial, Deluxe Version

34 mins
523 MB

Sampling, Posterior & Post-stratification

9 mins
166 MB

Post-stratification in practice

22 mins
183 MB

Making post-stratified predictions

14 mins
183 MB

Visualizing Strata Predictions

7 mins
50.9 MB

A Deeper Cut

15 mins
104 MB

Lesson Recap

20 mins
141 MB

Lesson Feedback

Lesson References

Lesson Exercises

Final Notes

Congratulations

9 mins
141 MB