Physics - Thermodynamics 2: Ch 32.7 Thermo Potential (4 of 25) What is Enthalpy?
Visit http://ilectureonline.com for more math and science lectures! In this video I will explain enthalpy which is one of the thermodynamic potential. Enthalpy is the amount of heat (energy) absorbed (required) by the system to cause a change in the system, OR the amount of heat expelled
From playlist PHYSICS 32.7 THERMODYNAMIC POTENTIALS
Welcome to Quantitative Risk Management (QRM). In this lesson we introduce the axiomatic approach to risk measures. We give the definition of risk measure and we discuss what its uses for us are in terms of reserve capital quantification. We then define coherent and convex measures. The p
From playlist Quantitative Risk Management
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 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
Risk Assessment: Likelihood Determination
http://trustedci.org/ Determining Likelihood of a threat as part of a cyber risk assessment.
From playlist Center for Applied Cybersecurity Research (CACR)
Lecture 02 Assessment of pulmonary risk part 1
Assessment of pulmonary risk part 1
From playlist Perioperative Patient Care _ Demo
This video explains what a hazard, risk and near miss are and what you should do if an incident occurs at UNSW.
From playlist UNSW Safety
Risk Management Lesson 4A: Volatility
First part of Lesson 4. Topics: - Definitions of volatility - Basic assumptions (do they hold?) - Arch and G-arch models (brief overview)
From playlist Risk Management
Maxim Raginsky: "A mean-field theory of lazy training in two-layer neural nets"
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop II: PDE and Inverse Problem Methods in Machine Learning "A mean-field theory of lazy training in two-layer neural nets: entropic regularization and controlled McKean-Vlasov dynamics" Maxim Raginsky - University of Illinois at Urbana-Cham
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
Risk Management Lesson 4B: Volatility (second part) and Coherent Risk Measures
This is the second half of Lesson 4. Topics: - Exercise about volatility modeling with G-arch - Coherent risk measures - Are the variance and the standard deviation coherent? A useful document for you is available here: https://www.dropbox.com/s/6pdygf0bw6bcce1/coherence.pdf
From playlist Risk Management
Entropic Optimal Transport - Prof. Marcel Nutz
A workshop to commemorate the centenary of publication of Frank Knight’s "Risk, Uncertainty, and Profit" and John Maynard Keynes’ “A Treatise on Probability” This workshop is organised by the University of Oxford and supported by The Alan Turing Institute. For further details and regular
From playlist Uncertainty and Risk
Eighteenth SIAM Activity Group on FME Virtual Talk
Date: Thursday, March 4, 2021, 1PM-2PM Speaker: Marcel Nutz, Columbia University Title: Entropic Optimal Transport Abstract: Applied optimal transport is flourishing after computational advances have enabled its use in real-world problems with large data sets. Entropic regularization is
From playlist SIAM Activity Group on FME Virtual Talk Series
Statistical aspects of stochastic algorithms for entropic (...) - Bigot - Workshop 2 - CEB T1 2019
Jérémie Bigot (Univ. Bordeaux) / 12.03.2019 Statistical aspects of stochastic algorithms for entropic optimal transportation between probability measures. This talk is devoted to the stochastic approximation of entropically regularized Wasserstein distances between two probability measu
From playlist 2019 - T1 - The Mathematics of Imaging
Adrien Gaidon: "The 3 R's & P's of Autonomous Driving: Robustness, Randomness, & Risk in Percept..."
Mathematical Challenges and Opportunities for Autonomous Vehicles 2020 Workshop I: Individual Vehicle Autonomy: Perception and Control "The 3 R's and P's of Autonomous Driving: Robustness, Randomness, and Risk in Perception, Prediction, and Planning" Adrien Gaidon - Toyota Research Instit
From playlist Mathematical Challenges and Opportunities for Autonomous Vehicles 2020
Hans Föllmer: Entropy, energy, and optimal couplings on Wiener space
HYBRID EVENT Recorded during the meeting "Advances in Stochastic Control and Optimal Stopping with Applications in Economics and Finance" the September 12, 2022 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video a
From playlist Probability and Statistics
Polymer Crystallization: New Concepts and Implications by M Muthukumar
Conference and School on Nucleation Aggregation and Growth URL: https://www.icts.res.in/program/NAG2010 DATES: Monday 26 July, 2010 - Friday 06 Aug, 2010 VENUE : Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluru DESCRIPTION: Venue: Jawaharlal Nehru Centre for Advance
From playlist Conference and School on Nucleation Aggregation and Growth
On the several ways to regularize optimal transport. - Cuturi - Workshop 3 - CEB T1 2019
Marco Cuturi (ENSAE and Google) / 02.04.2019 On the several ways to regularize optimal transport. After briefly introducing the optimal transport problem, I will show in this talk how regularization, either explicitly carried out as a statistical procedure or implicitly carried out and
From playlist 2019 - T1 - The Mathematics of Imaging
Chemistry - Thermochemistry (3 of 37) Enthalpy: Definition
Visit http://ilectureonline.com for more math and science lectures! In this video I will gives a definition and examples of enthalpy.
From playlist CHEMISTRY 9 THERMOCHEMISTRY
Radek Adamczak: Functional inequalities and concentration of measure III
Concentration inequalities are one of the basic tools of probability and asymptotic geo- metric analysis, underlying the proofs of limit theorems and existential results in high dimensions. Original arguments leading to concentration estimates were based on isoperimetric inequalities, whic
From playlist Winter School on the Interplay between High-Dimensional Geometry and Probability