Control theory | Decision theory | Statistical inference
Decision theory (or the theory of choice; not to be confused with choice theory) is a branch of applied probability theory concerned with the theory of making decisions based on assigning probabilities to various factors and assigning numerical consequences to the outcome. There are three branches of decision theory: 1. * Normative decision theory: Concerned with the identification of optimal decisions, where optimality is often determined by considering an ideal decision-maker who is able to calculate with perfect accuracy and is in some sense fully rational. 2. * Prescriptive decision theory: Concerned with describing observed behaviors through the use of conceptual models, under the assumption that those making the decisions are behaving under some consistent rules. 3. * Descriptive decision theory: Analyzes how individuals actually make the decisions that they do. Decision theory is closely related to the field of game theory and is an interdisciplinary topic, studied by economists, mathematicians, data scientists, psychologists, biologists, political and other social scientists, philosophers and computer scientists. Empirical applications of this theory are usually done with the help of statistical and econometric methods. (Wikipedia).
(ML 3.1) Decision theory (Basic Framework)
A simple example to motivate decision theory, along with definitions of the 0-1 loss and the square loss. A playlist of these Machine Learning videos is available here: http://www.youtube.com/my_playlists?p=D0F06AA0D2E8FFBA
From playlist Machine Learning
(ML 11.2) Decision theory terminology in different contexts
Comparison of decision theory terminology and notation in three different contexts: in general, for estimators, and for regression/classification.
From playlist Machine Learning
(ML 11.8) Bayesian decision theory
Choosing an optimal decision rule under a Bayesian model. An informal discussion of Bayes rules, generalized Bayes rules, and the complete class theorems.
From playlist Machine Learning
(ML 11.4) Choosing a decision rule - Bayesian and frequentist
Choosing a decision rule, from Bayesian and frequentist perspectives. To make the problem well-defined from the frequentist perspective, some additional guiding principle is introduced such as unbiasedness, minimax, or invariance.
From playlist Machine Learning
If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Design Thinking
Design thinking can improve anything from a water bottle to a community water system. See how design thinking improves the creative process, from Professor Stefanos Zenios: http://stanford.io/1mgkHGR
From playlist More
In this video, you’ll learn strategies for making decisions large and small. Visit https://edu.gcfglobal.org/en/problem-solving-and-decision-making/ for our text-based tutorial. We hope you enjoy!
From playlist Making Decisions
01 Decision analysis as a science
Introduction to decision making under uncertainty
From playlist QUSS GS 260
What Were You Thinking? Decision Theory as Coherence Test - Prof. Itzhak Gilboa
Abstract This talk is based on the joint work with Prof. Larry Samuelson from the Department of Economics at Yale University and full text is available here: https://www.google.com/url?q=https%3A%2F%2Fitzhakgilboa.weebly.com%2Fuploads%2F8%2F3%2F6%2F3%2F8363317%2Fgs_decision_theory_coheren
From playlist Uncertainty and Risk
Re-Imagining the Social Sciences in the Age of AI - March 4, 2020
Re-Imagining the Social Sciences in the Age of AI: A Cross-Disciplinary Conversation Wednesday, March 4 5:30 p.m. Wolfensohn Hall Co-organized by the School of Mathematics and the School of Social Sciences, this public event will feature two short talks about the transformational possibi
From playlist Mathematics
Breaking Bad Game Theory Part 1 (Vs Decision Theory)
I'm sorry the clip from the show has been blocked. For more on such topics, check out my book on game theory/strategic thinking: http://amzn.to/1uQvA20 For more on game theory in Breaking Bad, see my post: http://mindyourdecisions.com/blog/2013/10/01/game-theory-in-breaking-bad/#.U1rSevld
From playlist Breaking Bad Game Theory
5f Machine Learning: Non-cooperative Game Theory
A lecture on non-cooperative game theory including a basic introduction up to pure and mixed strategy Nash equilibrium and applications. I was motivated by the recent use of Shapley value from cooperative game theory for machine learning model explainability.
From playlist Machine Learning
What is Social Psychology? An Introduction
Learn more about Social Psychology: https://practicalpie.com/social-psychology/ Enroll in my 30 Day Brain Bootcamp: https://practicalpie.com/30-day-brain-bootcamp-plan/ --- Invest in yourself and support this channel! --- ❤️ Psychology of Attraction: https://practicalpie.com/POA ⏰ Psycho
From playlist Social Psychology
Game Theory: Winning the Game of Life
Game Theory: Winning the Game of Life - Game Theory Explained Sign up and start learning today for FREE: https://brilliant.org/aperture Follow me!: https://www.instagram.com/mcewen/ Game Theory is an interesting subject. It has implications on all of our lives, and it's not something that
From playlist Philosophy & Psychology 🧠
Paradoxes of Equality - Ronald Dworkin (1982)
Ronald Dworkin gives a talk on equality and explores it in depth beginning with a discussion of some of the difficult issues in describing equality. This talk was given in 1982 at Queen's University in the Chancellor Dunning Trust Lecture series. 00:00 Intro Story 02:29 Lecture #Philosop
From playlist Social & Political Philosophy
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
Powered by https://www.numerise.com/ Formulating a linear programming problem
From playlist Linear Programming - Decision Maths 1
Modified Navier–Stokes and Decision Process Theory
As a next step in investigating decision process theory, Jerry Thomas considers steady-state non-streamline solutions to a 3D model. The equations are modified Navier–Stokes equations. Using NDSolve, he shows that these steady-state solutions are not dissimilar to fluid flow solutions desp
From playlist Wolfram Technology Conference 2020
Introduction to Decision Trees | Decision Trees for Machine Learning | Part 1
The decision tree algorithm belongs to the family of supervised learning algorithms. Just like other supervised learning algorithms, decision trees model relationships, and dependencies between the predictive outputs and the input features. As the name suggests, the decision tree algorit
From playlist Introduction to Machine Learning 101
Mod-01 Lec-01 Definition of Game Theory and Rational Choice
Game Theory and Economics by Dr. Debarshi Das, Department of Humanities and Social Sciences, IIT Guwahati. For more details on NPTEL visit http://nptel.iitm.ac.in
From playlist IIT Guwahati: Game Theory and Economics | CosmoLearning.org Economics