Dimension reduction

NOMINATE (scaling method)

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).

NOMINATE (scaling method)
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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

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Adding And Subtracting Fractions - Quick Method

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From playlist QTS Numeracy Skills

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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

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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

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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

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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

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(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

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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

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From playlist Basic Business Statistics (QBA 237 - Missouri State University)

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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

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Stanford Seminar - Representation Learning for Autonomous Robots, Anima Anandkumar

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From playlist Stanford AA289 - Robotics and Autonomous Systems Seminar

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Live CEOing Ep 587: Language Design Review of Visualization Features

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From playlist Behind the Scenes in Real-Life Software Design

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Melanie Zeilinger: "Learning-based Model Predictive Control - Towards Safe Learning in Control"

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From playlist Intersections between Control, Learning and Optimization 2020

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(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)

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Dynamic Eigen Decomposition I: Parameter Variation in System Dynamics

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From playlist Summer of Math Exposition Youtube Videos

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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

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(ML 7.3) Proportionality

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

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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

Related pages

Scale analysis (statistics) | Euclidean space | Multidimensional scaling | Normal distribution | Utility