Signal estimation | Stochastic differential equations
In filtering theory the Zakai equation is a linear stochastic partial differential equation for the un-normalized density of a hidden state. In contrast, the Kushner equation gives a non-linear stochastic partial differential equation for the normalized density of the hidden state. In principle either approach allows one to estimate a quantity function (the state of a dynamical system) from noisy measurements, even when the system is non-linear (thus generalizing the earlier results of Wiener and Kalman for linear systems and solving a central problem in estimation theory). The application of this approach to a specific engineering situation may be problematic however, as these equations are quite complex. The Zakai equation is a bilinear stochastic partial differential equation. It was named after Moshe Zakai. (Wikipedia).
Etienne Pardoux: Uniqueness of the filtering equations in the space of measures
HYBRID EVENT Recorded during the meeting " Probability/PDE Interactions: Interface Models and Particle Systems " the April 28, 2022 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by world
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A Brief History of JavaScript, talk by Brendan Eich (creator of JavaScript)
The creator of JavaScript, Brendan Eich, shares the history of JavaScript. Filmed at https://2017.dotjs.io on December 1st in Paris. -- This talk is under the creative commons license. freeCodeCamp is not associated with this talk. We're just excited to bring more exposure to to it! -
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Mathematica provides state-of-the-art functionality for analyzing and synthesizing graphs and networks. One application of the new functionality is social network analysis. In this talk from the Wolfram Technology Conference 2011, Charles Pooh, a Senior Kernel Developer at Wolfram Research
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Yang Shi: Normalizer theory of Coxeter groups and discrete integrable systems
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From playlist Integrable Systems 9th Workshop
The Book of Acts: Deepening Community; Growing Mission
Yale Divinity School Dean Harold W. Attridge and Professor Emeritus David L. Bartlett discuss the Book of Acts, Chapters 5-8. This is session 2 of 8 videos for the Book of Acts. The conversation is part of the Yale Bible Study Series presented in cooperation with The Congregational Chur
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Learn how to eliminate the parameter with trig functions
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The technology landscape for Wasm is growing every day. Join me for a tour of WebAssembly, where we will analyze areas of rapid growth for Wasm to predict the future of application development. Wasm is finding a home in every layer of the technical stack. When it comes to creating plugins
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John Veitch - Computational Challenges in Gravitational Wave Parameter Estimation - IPAM at UCLA
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Linh Nghiem - Estimation of continuous non-Gaussian graphical models
Dr Linh Nghiem (ANU) presents "Estimation of continuous non-Gaussian graphical models", 26 June 2020.
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Stephan Mescher (3/10/22): Geodesic complexity of Riemannian manifolds
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Introduction to Parametric Equations
This video defines a parametric equations and shows how to graph a parametric equation by hand. http://mathispower4u.yolasite.com/
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How to solve multi step equations with fractional coefficients
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Peter van der Kamp: On CAC and Backlund transformations
Abstract: This talk summarizes joint work with D.J. Zhang, D.D. Zhang and X. Wei, on multi-component extensions of CAC systems, how to obtain auto-Backlund transformations from auto-Backlund transformations, and torqued ABS equations, see papers 33, 37, and 40 from https://wiskun.de/publi
From playlist Integrable Systems 9th Workshop