Financial models | Interest rates | Short-rate models
In finance, the Vasicek model is a mathematical model describing the evolution of interest rates. It is a type of one-factor short-rate model as it describes interest rate movements as driven by only one source of market risk. The model can be used in the valuation of interest rate derivatives, and has also been adapted for credit markets. It was introduced in 1977 by Oldřich Vašíček, and can be also seen as a stochastic investment model. (Wikipedia).
Claire Voisin - Schiffer variations of hypersurfaces and the generic Torelli theorem - WAGON
The generic Torelli theorem for hypersurfaces of degree d and dimension n-1 was proved by Donagi in the 90's. It works under the assumption that d is at least 7 and d does not divide n+1, which in particular excludes the Calabi-Yau case in all dimensions. We prove that the generic Torelli
From playlist WAGON
The Incorrect Assumptions of the Ideal Gas Model - and Why It Still Works!
What exactly IS an Ideal Gas? And why do physicists use this model to represent real gases? In this video we'll compare the assumptions made by the ideal gas model with the properties of real gases, as well as how we can improve the ideal gas law in certain scenarios. As with every model
From playlist Thermodynamics by Parth G
Christian Sattler: Do cubical models of type theory also model homotopy types
The lecture was held within the framework of the Hausdorff Trimester Program: Types, Sets and Constructions. Abstract: I will give an alternative exposition of Kapulkin and Voevodsky's result about simplicial sets forming a subtopos of certain cubical sets: https://arxiv.org/abs/1805.0412
From playlist Workshop: "Types, Homotopy, Type theory, and Verification"
Matrix models, Laplacian growth and Hurwitz numbers - Anton Zabrodin
Anton Zabrodin ITEP November 5, 2013 For more videos, please visit http://video.ias.edu
From playlist Mathematics
What is the Bohr model of the atom?
This video looks at the pioneering work of Niels Bohr who proposed a novel model of the atom in 1913 which would lay the foundations for a quantum mechanical treatment ten years later. After discussing the limitations of Thomson's Plum Pudding model and Rutherford's Nuclear model, Bohr's q
From playlist Quantum Physics
Albert Einstein, Holograms and Quantum Gravity
In the latest campaign to reconcile Einstein’s theory of gravity with quantum mechanics, many physicists are studying how a higher dimensional space that includes gravity arises like a hologram from a lower dimensional particle theory. Read about the second episode of the new season here:
From playlist In Theory
IDEAL GAS - a quick definition
A quick definition of an ideal gas. Chem Fairy: Louise McCartney Director: Michael Harrison Written and Produced by Kimberly Hatch Harrison ♦♦♦♦♦♦♦♦♦♦ Ways to support our channel: ► Join our Patreon : https://www.patreon.com/socratica ► Make a one-time PayPal donation: https://www.pa
From playlist Chemistry glossary
U. Brehm: A Universality Theorem for Realization Spaces of Polyhedral Maps
U. Brehms lecture was held within the framework of the Hausdorff Trimester Program Universality and Homogeneity during the special seminar "Universality of moduli spaces and geometry" (06.11.2013) Due to an error with the recording, there is no video available for this lecture.
From playlist HIM Lectures: Trimester Program "Universality and Homogeneity"
PreCalculus - Introduction/Preview of What is in this PreCalculus Series
Visit http://ilectureonline.com for more math and science lectures! In this video I will introduce and preview of the content of this Pre-Calculus series.
From playlist Michel van Biezen: PRECALCULUS 1-5 - ALGEBRA REVIEW
Nikolaus Kriegskorte - Controversial stimuli: experiments to adjudicate computational hypotheses
Recorded 13 January 2023. Nikolaus Kriegeskorte of Columbia University presents "Controversial stimuli: Optimizing experiments to adjudicate among computational hypotheses" at IPAM's Explainable AI for the Sciences: Towards Novel Insights Workshop. Learn more online at: http://www.ipam.ucl
From playlist 2023 Explainable AI for the Sciences: Towards Novel Insights
Using & Expanding the NLP Models Hub 1 | Webinar
Spark NLP and Spark OCR Free Trials are available here: https://www.johnsnowlabs.com/spark-nlp-try-free/ The NLP Models Hub which powers the Spark NLP and NLU libraries takes a different approach than the hubs of other libraries like TensorFlow, PyTorch, and Hugging Face. While it also pr
From playlist AI & NLP Webinars
Learn about HEV modeling and simulation. In this video, you will: - Learn about different methods for creating HEV component models. - See how Powertrain Blockset™ and Simscape™ tools can be used for HEV modeling. - Learn best practices for getting started and creating new plant models.
From playlist Hybrid Electric Vehicles
DDPS | Learning hierarchies of reduced-dimension and context-aware models for Monte Carlo sampling
In this DDPS Seminar Series talk from Sept. 2, 2021, University of Texas at Austin postdoctoral fellow Ionut-Gabriel Farcas discusses hierarchies of reduced-dimension and context-aware low-fidelity models for multi-fidelity Monte Carlo sampling. Description: In traditional model reduction
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
This is Lecture 14 of the CSE519 (Data Science) course taught by Professor Steven Skiena [http://www.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: http://www.cs.stonybrook.edu/~skiena/519 More information may be found here: http://www
From playlist CSE519 - Data Science Fall 2016
Stanford CS330: Deep Multi-task & Meta Learning I 2021 I Lecture 15
For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/ai To follow along with the course, visit: http://cs330.stanford.edu/fall2021/index.html To view all online courses and programs offered by Stanford, visit: http:/
From playlist Stanford CS330: Deep Multi-Task & Meta Learning I Autumn 2021I Professor Chelsea Finn
DeepMind x UCL | Deep Learning Lectures | 11/12 | Modern Latent Variable Models
This lecture, by DeepMind Research Scientist Andriy Mnih, explores latent variable models, a powerful and flexible framework for generative modelling. After introducing this framework along with the concept of inference, which is central to it, Andriy focuses on two types of modern latent
From playlist Learning resources
Introduction to System Modeling
This video gives an overview of system modeling and how to make use of the simulation engine and built-in models that are integrated in Wolfram Language 11.3. The Wolfram SystemModeler Model Center is shown along with how to seamlessly move back and forth between it and a Wolfram Language
From playlist Introduction to Model Analytics with SystemModeler and the Wolfram Language
Stanford Seminar - Persistent and Unforgeable Watermarks for DeepNeural Networks
Huiying Li University of Chicago Emily Wegner University of Chicago October 30, 2019 As deep learning classifiers continue to mature, model providers with sufficient data and computation resources are exploring approaches to monetize the development of increasingly powerful models. Licen
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series