Why Game Theory is Not About Competition
This video was made possible by our Patreon community! ❤️ See new videos early, participate in exclusive Q&As, and more! ➡️ https://www.patreon.com/EconomicsExplained ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀ Game Theory is supposed to show how businesses (and prisoners) can outdo each other to win out
From playlist Case Studies
Elias Koutsoupias: Game Theory 1/2 🎲 CERN
This lecture series will present the main directions of Algorithmic Game Theory, a new field that has emerged in the last two decades at the interface of Game Theory and Computer Science, because of the unprecedented growth in size, complexity, and impact of the Internet and the Web. These
From playlist CERN Academic Lectures
3 game theory tactics, explained
How to maximize wins and minimize losses, explained by four experts on game theory. Subscribe to Big Think on YouTube ► https://www.youtube.com/channel/UCvQECJukTDE2i6aCoMnS-Vg?sub_confirmation=1 Up next, Harvard negotiator explains how to argue ► https://youtu.be/IDj1OBG5Tpw Game theory
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Jules Hedges - compositional game theory - part I
Compositional game theory is an approach to game theory that is designed to have better mathematical (loosely “algebraic” and “geometric”) properties, while also being intended as a practical setting for microeconomic modelling. It gives a graphical representation of games in which the flo
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The Prisoners Dilemma - The Most Famous Problem in Game Theory
The Prisoner's Dilemma is the most famous problem in game theory, as it shows that individuals who make rational decisions might end up in an outcome that's worse for everyone in the group. In other words, individual rationality does not imply group rationality. Watch a higher quality ver
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An introduction to the game of Impartial Chess, beginning with the green, impartial King.
From playlist Intro to Impartial Combinatorial Games and Their Theory
What does the solution of an equation mean when graphing
👉Learn about solving a system of equations by graphing. A system of equations is a set of more than one equations which are to be solved simultaneously. To solve a system of equations graphically, we graph the individual equations making up the system. The point of intersection of the gr
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Statistical Rethinking Fall 2017 - week10 lecture19
Week 10, lecture 19 for Statistical Rethinking: A Bayesian Course with Examples in R and Stan, taught at MPI-EVA in Fall 2017. This lecture covers Chapters 14 and 15. Slides are available here: https://speakerdeck.com/rmcelreath/statistical-rethinking-fall-2017-lecture-19 Additional in
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8 Reid on the Principle of Morals - Reid's Critique of Hume (Dan Robinson)
Professor Dan Robinson gives the final lecture in a series of 8 lectures on Thomas Reid's critique of David Hume at Oxford in 2014. “Like all other sciences, morals must have first principles, and all moral reasoning is based on them... In all rational belief, the thing believed is either
From playlist Reid's Critique of Hume (Dan Robinson)
Gaël Varoquaux - Supervised Learning with Missing Values
Some data come with missing values. For instance, a survey’s participant may ignore some questions. There is an abundant statistical literature on this topic, establishing for instance how to fit model without biases due to the missingness, and imputation strategies to provide practical so
From playlist Journée statistique & informatique pour la science des données à Paris-Saclay 2021
05e Machine Learning: Shapley Value
I extend the discussion on feature ranking and selection with Shapley Value (1953). Adapted from game theory, this is a useful tool for feature ranking and to support explainable machine learning. The interactive examples are avalaible @ https://git.io/Jt1os and a more complete workflow
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Statistical Rethinking 2023 - 18 - Missing Data
Course: https://github.com/rmcelreath/stat_rethinking_2023 Intro music: https://www.youtube.com/watch?v=RSsstXfcRWw Icebear music: https://www.youtube.com/watch?v=0h9tC3FM9UI Outline 00:00 Introduction 05:18 Missing data in DAGs 19:42 Bayesian imputation part 1 33:34 Pause 34:30 Bayesian
From playlist Statistical Rethinking 2023
Intractability in Algorithmic Game Theory - Tim Roughgarden
Tim Roughgarden Stanford University March 11, 2013 We discuss three areas of algorithmic game theory that have grappled with intractability. The first is the complexity of computing game-theoretic equilibria, like Nash equilibria. There is an urgent need for new ideas on this topic, to ena
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Game theory (1), prisoner's dilemma.
This video introduces game theory; an influential perspective used in both evolutionary biology and economics. The prisoner's dilemma model is described as well as the predictions it makes for optimal strategies when many interactions of this type are made.
From playlist TAMU: Bio 312 - Evolution | CosmoLearning Biology
Brian Browning - "An Introduction to Genotype Imputation"
Computational Genomics Summer Institute 2016 "An Introduction to Genotype Imputation" Brian Browning, University of Washington Institute for Pure and Applied Mathematics, UCLA July 18, 2016 For more information: http://computationalgenomics.bioinformatics.ucla.edu/
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Applied ML 2020 - 05 - Linear Models for Regression
Class materials at https://www.cs.columbia.edu/~amueller/comsw4995s20/schedule/
From playlist Applied Machine Learning 2020
Statistical Rethinking Winter 2019 Lecture 20
Lecture 20 of the Dec 2018 through March 2019 edition of Statistical Rethinking: A Bayesian Course with R and Stan. Covers Chapter 15, measurement error and missing data imputation.
From playlist Statistical Rethinking Winter 2019
StatQuest: Random Forests in R
Random Forests are an easy to understand and easy to use machine learning technique that is surprisingly powerful. Here I show you, step by step, how to use them in R. NOTE: There is an error at 13:26. I meant to call "as.dist()" instead of "dist()". The code that I used in this video ca
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Michel Rigo: From combinatorial games to shape-symmetric morphisms
Abstract: The general aim of these lectures is to present some interplay between combinatorial game theory (CGT) and combinatorics on (multidimensional) words. In the first introductory lecture, we present some basic concepts from combinatorial game theory (positions of a game, Nim-sum, Sp
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