Risk inclination (RI) is defined as a mental disposition (i.e., confidence) toward an eventuality (i.e., a predicted state) that has consequences (i.e., either loss or gain). The risk inclination model (RIM) is composed of three constructs: confidence weighting, restricted context, and the risk inclination formula. Each of these constructs connects an outside observer with a respondent’s inner state of risk taking toward knowledge certainty. (Wikipedia).
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Overview of various methods for sensitivity analysis in the UQ of subsurface systems
From playlist Uncertainty Quantification
QRM L1-2: The dimensions of risk and friends
Welcome to Quantitative Risk Management (QRM). In this second video, we analyse the dimensions of risk. Risk is in fact an object that we need to consider from different points of view, and that sometimes we cannot even quantify. We will also discuss the importance of statistical thinking
From playlist Quantitative Risk Management
From playlist STAT 501
Teach Astronomy - Orbit Inclination
http://www.teachastronomy.com/ For most planets in the solar system the orbital inclination is very small. That is, the axis defined by the north and south poles of the planet is almost exactly perpendicular to the plane of the planet's orbit of the Sun. The only two exceptions to this a
From playlist 10. The Solar System
Gradient (2 of 3: Angle of inclination)
More resources available at www.misterwootube.com
From playlist Further Linear Relationships
Uncertainty Spillovers for Markets and Policy - Prof. Lars Hansen
Abstract We live in a world filled with uncertainty. In this essay, I show that featuring this phenomenon more in economic analyses adds to our understanding of how financial markets work and how best to design prudent economic policy. This essay explores methods that allow for a broader
From playlist Uncertainty and Risk
The tool that engineers use to design buildings in earthquake zones | The response spectrum
Earthquakes are one of the most destructive forces of nature. They could induce substantial movement in the ground, which results in the development of excessive forces in structural components, resulting in their failure. The intent of the analysis is to somehow predict the **maximum resp
From playlist Summer of Math Exposition Youtube Videos
Stefano Marelli: Metamodels for uncertainty quantification and reliability analysis
Abstract: Uncertainty quantification (UQ) in the context of engineering applications aims aims at quantifying the effects of uncertainty in the input parameters of complex models on their output responses. Due to the increased availability of computational power and advanced modelling tech
From playlist Probability and Statistics
Welcome to Quantitative Risk Management (QRM). In this lesson, we introduce Extreme Value Theory, an important branch of statistics dealing with extremes, i.e. maxima and minima. EVT will be an essential tool for us, as it allows us to robustly model large losses, avoiding all those sill
From playlist Quantitative Risk Management
11. Trabecular Bone and Osteoporosis
MIT 3.054 Cellular Solids: Structure, Properties and Applications, Spring 2015 View the complete course: http://ocw.mit.edu/3-054S15 Instructor: Lorna Gibson This session covers bone and trabecular bone, and begins discussing osteoporosis. License: Creative Commons BY-NC-SA More informat
From playlist MIT 3.054 Cellular Solids: Structure, Properties and Applications, Spring 2015
Philosophy and the Science of Human Nature (PHIL 181) In the first part of the lecture, Professor Gendler finishes up the discussion of non-standard responses to the Trolley Problem by presenting Cass Sunstein's proposed resolution. This is followed by a general discussion of heuristics
From playlist Philosophy and the Science of Human Nature w/ Tamar Gendler
Teach Astronomy - Orbit Eccentricity
http://www.teachastronomy.com/ Orbital eccentricity is the amount by which an orbit deviates from a circle. Mathematically it's defined as the distance between the two foci of an elliptical orbit divided by the major axis. A circle has an ellipticity, denoted by the little symbol "e", of
From playlist 10. The Solar System
Fifteenth SIAM Activity Group on FME Virtual Talk
Date: Thursday, December 10, 1PM-2PM Early Career Talks Speaker 1: Dena Firoozi, HEC Montréal - University of Montreal Title: Belief Estimation by Agents in Major-Minor LQG Mean Field Games Speaker 2: Sveinn Olafsson, Columbia University Title: Personalized Robo-Advising: Enhancing Inves
From playlist SIAM Activity Group on FME Virtual Talk Series
The Anatomy of Religion: Religion After Darwin
Lecture three of the 2017 Yale University Dwight H. Terry Lectures delivered by Kwame Anthony Appiah, Professor of Philosophy and Professor of Law at New York University. April 25, 2017 Kwame Anthony Appiah is a Ghanaian-American philosopher, cultural theorist, and novelist whose interes
From playlist Terry Lectures
QRM L1-1: The Definition of Risk
Welcome to Quantitative Risk Management (QRM). In this first class, we define what risk if for us. We will discuss the basic characteristics of risk, underlining some important facts, like its subjectivity, and the impossibility of separating payoffs and probabilities. Understanding the d
From playlist Quantitative Risk Management
QRM 4-4: Tails in Data - Zipf Plot and Meplot
Welcome to Quantitative Risk Management (QRM). We close Lesson 4 by introducing some first tools for the graphical analysis of tails. We will deal with the exponential QQ-plot, the Zipf plot, the Fractality plot and the Meplot. More details will then follow in Lesson 5. Topics: 00:00 Int
From playlist Quantitative Risk Management
How to Price Options using a Binomial Tree (The Portfolio Approach)
How to Price Options using a Binomial Tree. The portfolio approach. These classes are all based on the book Trading and Pricing Financial Derivatives, available on Amazon at this link. https://amzn.to/2WIoAL0 Check out our website http://www.onfinance.org/ Follow Patrick on twitter her
From playlist Class 3: Pricing Financial Options
Random matrices and high-dimensional stats: Beyond covariance matrices – N. El Karoui – ICM2018
Probability and Statistics Invited Lecture 12.11 Random matrices and high-dimensional statistics: Beyond covariance matrices Noureddine El Karoui Abstract: The last twenty-or-so years have seen spectacular progress in our understanding of the fine spectral properties of large-dimensional
From playlist Probability and Statistics
22 Spatial Data Analytics: Decision Making
Spatial data analytics course lecture on optimum decision making in the presence of uncertainty.
From playlist Spatial Data Analytics and Modeling
QRM 9-1: Market risk and historical simulation
Welcome to Quantitative Risk Management (QRM). It is time to introduce market risk, and to start considering how we can assess and hedge it according to the Basel regulations. We will see that VaR and ES are the main quantities we will use, but we know that they need a loss distribution t
From playlist Quantitative Risk Management