NOMINATE (an acronym for Nominal Three-Step Estimation) is a multidimensional scaling application developed by US political scientists Keith T. Poole and Howard Rosenthal in the early 1980s to analyze preferential and choice data, such as legislative roll-call voting behavior. In its most well-known application, members of the US Congress are placed on a two-dimensional map, with politicians who are ideologically similar (i.e. who often vote the same) being close together. One of these two dimensions corresponds to the familiar left-right (or liberal-conservative) spectrum. As computing capabilities grew, Poole and Rosenthal developed multiple iterations of their NOMINATE procedure: the original D-NOMINATE method, W-NOMINATE, and most recently DW-NOMINATE (for dynamic, weighted NOMINATE). In 2009, Poole and Rosenthal were the first recipients of the Society for Political Methodology's Best Statistical Software Award for their development of NOMINATE. In 2016, the society awarded Poole its Career Achievement Award, stating that "the modern study of the U.S. Congress would be simply unthinkable without NOMINATE legislative roll call voting scores." (Wikipedia).
Voting Theory: Plurality Method and Condorcet Criterion
This video explains how to determine the winner of an election using the plurality methods and how to determine the Condorcet winner. Site: http://mathispower4u.com
From playlist Voting Theory
Adding And Subtracting Fractions - Quick Method
Adding and subtracting fractions by cross-multiplying or the upside down picnic table!
From playlist QTS Numeracy Skills
Voting Theory: Approval Voting
This video explains how to apply the approval voting method to determine the winner of an election. Site: http://mathispower4u.com Content Source: http://www.opentextbookstore.com/mathinsociety/
From playlist Voting Theory
Math for Liberal Studies: Rank Methods and the Borda Count
In this video, we practice using rank methods and the Borda Count to find the winner of an election. For more info, visit the Math for Liberal Studies homepage: http://webspace.ship.edu/jehamb/mls/index.html
From playlist Math for Liberal Studies
Weighted Voting: Coalitions and Critical Players
This lesson defines and gives examples of coalitions and critical players in a weighted voting system. Site: http://mathispower4u.com
From playlist Weighted Voting
Math for Liberal Studies: Finding the Contingent Winner
In this video, we do a couple of examples of finding the contingent winner of an election with several candidates. For more info, visit the Math for Liberal Studies homepage: http://webspace.ship.edu/jehamb/mls/index.html
From playlist Math for Liberal Studies
(New Version Available) Introduction to Voting Theory and Preference Tables
Updated Version: https://youtu.be/WdtH_8lAqQo This video introduces voting theory and explains how to make a preference table from voting ballots. Site: http://mathispower4u.com
From playlist Voting Theory
28th Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk
Date: Wednesday, June 16, 2021, 10:00am Eastern Time Zone (US & Canada) Speaker: Yiqui Dong Title: Model Error Matters – CT reconstruction with uncertain view angles Abstract: Inverse problems are mathematical problems that arise when one wants to recover “hidden” information from indir
From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series
Data and Variables in Business Statistics – An Introduction (Week 1)
We begin Basic Business Statistics with an introduction to numbers and how they become variables. • Statistics give us a tool to evaluate claims of truth with the scientific method • We can use archival, observational, or experimental research • The practice, procedures, and products o
From playlist Basic Business Statistics (QBA 237 - Missouri State University)
Katie Driggs-Campbell: "Insights from Inference & Prediction for Safe Vehicle-Pedestrian Interac..."
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop II: Safe Operation of Connected and Autonomous Vehicle Fleets "Insights from Inference and Prediction for Safe Vehicle-Pedestrian Interaction" Katherine Driggs-Campbell - University of Illinois at Urbana-Champ
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Stanford Seminar - Representation Learning for Autonomous Robots, Anima Anandkumar
Anima Anandkumar of Caltech and NVIDIA. This talk was given on April 1, 2022. Autonomous robots need to be efficient and agile, and be able to handle a wide range of tasks and environmental conditions. This requires the ability to learn good representations of domains and tasks using a va
From playlist Stanford AA289 - Robotics and Autonomous Systems Seminar
Live CEOing Ep 587: Language Design Review of Visualization Features
In this episode of Live CEOing, Stephen Wolfram discusses upcoming improvements and features to the Wolfram Language. If you'd like to contribute to the discussion in future episodes, you can participate through this YouTube channel or through the official Twitch channel of Stephen Wolfram
From playlist Behind the Scenes in Real-Life Software Design
Melanie Zeilinger: "Learning-based Model Predictive Control - Towards Safe Learning in Control"
Intersections between Control, Learning and Optimization 2020 "Learning-based Model Predictive Control - Towards Safe Learning in Control" Melanie Zeilinger - ETH Zurich & University of Freiburg Abstract: The question of safety when integrating learning techniques in control systems has
From playlist Intersections between Control, Learning and Optimization 2020
(1) Multiplying surds - technique used to rationalise surds.mp4
Powered by https://www.numerise.com/ The following video shows examples of multiplying surds and using the difference of 2 squares when multiplying 2 brackets containing surds. These techniques will be used later when rationalising surds in a different video. www.hegartymaths.com http://w
From playlist Surds (GCSE Tutorials)
The Plurality - Elimination Method
From playlist Mathematics of Voting
Dynamic Eigen Decomposition I: Parameter Variation in System Dynamics
Video 1 in a series about dynamic eigen decomposition (DED) theory and applications. Here we cover basic theoretical aspects of the DED as applied to a 2 degree of freedom mechanical oscillator with parameter variation. The surprising fact we uncover is that dynamic eigenvectors are preser
From playlist Summer of Math Exposition Youtube Videos
Marco Cavaglia - Think out of the (counting) box - IPAM at UCLA
Recorded 30 November 2021. Marco Cavaglia of the Missouri University of Science and Technology presents "Think out of the (counting) box" at IPAM's Workshop IV: Big Data in Multi-Messenger Astrophysics. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/workshop-iv-big-data-
From playlist Workshop: Big Data in Multi-Messenger Astrophysics
Any function proportional to a PMF or PDF uniquely determines it. Using proportionality is a extremely useful trick when doing Bayesian inference.
From playlist Machine Learning
The Maths of Contagion: Why Things Spread and Why They Stop - with Adam Kucharski
Mathematical models can investigate the spread of diseases such as malaria or Covid-19, but also ideas, misinformation and internet memes. Adam's book "The Rules of Contagion" is available now on Amazon: https://geni.us/QIdazc Why are some diseases predictable, and others swamped in uncer
From playlist Livestreams