Causal Inference is a set of tools used to scientifically prove cause and effect, very commonly used in economics and medicine. This series will go over the basics that any data scientist should understand about causal inference - and point them to the tools they would need to perform it.
From playlist Causal Inference - The Science of Cause and Effect
Statistical Inference for Causal Inference - Causal Inference
In this video I explain the concept of statistical inference for causal inference through a realistic group ideal experiment example. Enjoy! Here's the link to my previous Statistical Inference Introduction video if you haven't watched it yet: https://youtu.be/fEGc8ZqveXM
From playlist Causal Inference - The Science of Cause and Effect
We introduce Instrumental Variables
From playlist Causal Inference - The Science of Cause and Effect
Fundamental Question - Causal Inference
In this video, I define the fundamental question and problem of causal inference and use an example to further explain the concept.
From playlist Causal Inference - The Science of Cause and Effect
Violations of Exchangeability - Causal Inference
Today I talk about violations of exchangeability, e.g., common causes, confounding, selection bias.
From playlist Causal Inference - The Science of Cause and Effect
Causation vs. Association - Causal Inference
In this video I talk about the difference between causation and association and explain each of these concepts through an example. Enjoy!
From playlist Causal Inference - The Science of Cause and Effect
Causal diagrams to understand causality
This shows how to draw causal diagrams to understand what things are inputs and which are outputs
From playlist Examples
D-Separation - Causal Inference
Today I talk about association in causal diagrams, e.g., D-separation. By applying the rules I outline in this video you will be able to determine if two variables are associated.
From playlist Causal Inference - The Science of Cause and Effect
Wolfram Physics I: Basic Formalism, Causal Invariance and Special Relativity
Find more information about the summer school here: https://education.wolfram.com/summer/school Stay up-to-date on this project by visiting our website: http://wolfr.am/physics Check out the announcement post: http://wolfr.am/physics-announcement Find the tools to build a universe: https:
From playlist Wolfram Summer Programs
Causal Diagrams - Causal Inference
Today I talk about causal diagrams, e.g., dag, inline. This is one of the most important tools in Causal Inference, and we learn how to draw these tools out. Later we will learn how to use them in analysis.
From playlist Causal Inference - The Science of Cause and Effect
No Cause for Concern: Indefinite Causal Ordering as a Tool for Understanding Entanglement
Understanding the sorts of explanations and inferences that causal processes countenance is of course of great interest to philosophers and physicists (among others). But what can be said about physical processes that fail to exhibit classical causal structure? Indefinite causal ordering
From playlist Franke Program in Science and the Humanities
Causality: From Aristotle to Zebrafish - Frederick Eberhardt - 10/16/2019
Earnest C. Watson Lecture by Professor Frederick Eberhardt, "Causality: From Aristotle to Zebrafish." What causes what? If correlation does not equal causation, then how can we untangle the “why” behind processes that regulate the brain, the climate, or the economy? And how does this appl
From playlist Caltech Watson Lecture Series
Causality and Entanglement in Holography - The Connected Wedge Theorem Revisited - Jonathan Sorce
IAS It from Qubit Workshop Workshop on Spacetime and Quantum Information Tuesday December 6, 2022 Wolfensohn Hall One puzzling aspect of holography is that it conjectures a duality between a physical theory with a single rigid causal structure (the non-gravitational "boundary theory") and
From playlist IAS It from Qubit Workshop - Workshop on Spacetime and Quantum December 6-7, 2022
Stability and Causality of LTI Systems Described by Difference Equations
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. z-transform analysis of stability and causality for systems described by linear constant-coefficient difference equations.
From playlist The z-Transform
Fay Dowker Public Lecture - Spacetime Atoms and the Unity of Physics (Perimeter Public Lecture)
Fay Dowker speaks at a Perimeter Institute Public Lecture on November 2, 2011. Black holes are hot! This discovery made by Stephen Hawking ties together gravity, spacetime, quantum matter, and thermal systems into the beautiful and exciting science of "Black Hole Thermodynamics". Its be
From playlist Public Lecture Series
Thinking in Patterns - Level 6 - Causal Patterns
Thinking Slides: https://docs.google.com/presentation/d/1Wvjb5nDXz_HtCcWEmLGrOn9SEUNxfzvhwfZln-wGMfE/edit?usp=sharing The Wonder of Science: https://thewonderofscience.com/mlccc16 In this video Paul Andersen shows conceptual thinking in a mini-lesson on causal patterns. Two examples are
From playlist Conceptual Thinking Mini-Lessons
Physics Tools II: MultiwaySystem and Related Functions
Find more information about the summer school here: https://education.wolfram.com/summer/school Stay up-to-date on this project by visiting our website: http://wolfr.am/physics Check out the announcement post: http://wolfr.am/physics-announcement Find the tools to build a universe: https:
From playlist Wolfram Summer Programs
Wolfram Physics Project: Working Session Tuesday, May 12, 2020 [Distributed Computing | Part 2]
This is a Wolfram Physics Project working session on interplay with distributed computing. Originally livestreamed at: https://twitch.tv/stephen_wolfram Stay up-to-date on this project by visiting our website: http://wolfr.am/physics Check out the announcement post: http://wolfr.am/physi
From playlist Wolfram Physics Project Livestream Archive
Confounding Example 2 - Causal Inference
Today I cover an example of an endogenous condition, a conditioned upon confounder (and collider) which is caused by the endogenous condition, and selection bias.
From playlist Causal Inference - The Science of Cause and Effect
Wolfram Physics Project: Working Session Wednesday, Apr. 22, 2020 [Distributed Computing]
Stephen Wolfram & Jonathan Gorard continue answering questions about the new Wolfram Physics Project, this time specifically for a live working session of the project delving into distributed computing. Guests include Tali Beynon & Jesse Friedman. Begins at 6:15 Originally livestreamed at
From playlist Wolfram Physics Project Livestream Archive