Everything You Need to Know About Control Theory
Control theory is a mathematical framework that gives us the tools to develop autonomous systems. Walk through all the different aspects of control theory that you need to know. Some of the concepts that are covered include: - The difference between open-loop and closed-loop control - How
From playlist Control Systems in Practice
C28 Variation of parameters Part 1
We have already seen variation of parameters in action, but here we expand the method for use in second-order linear DE's, even with non-constant coefficients.
From playlist Differential Equations
A02 Independence of the solution set
The independence of a linear system. How to make sure that a set of solutions are not constant multiples of each other.
From playlist A Second Course in Differential Equations
Integration 8 The Substitution Rule in Integration Part 2 Example 1
Working through an example of substitution in integration.
From playlist Integration
(ML 11.4) Choosing a decision rule - Bayesian and frequentist
Choosing a decision rule, from Bayesian and frequentist perspectives. To make the problem well-defined from the frequentist perspective, some additional guiding principle is introduced such as unbiasedness, minimax, or invariance.
From playlist Machine Learning
In this section I introduce plane autonomous systems, which form beautiful and useful vector fields.
From playlist A Second Course in Differential Equations
Post-Talk Discussion Following “On Experiments for Causal Inference and System Identification”
Professor Kyle Cranmer, Professor of Physics and Data Science at New York University, will engage Professor Nihat Ay in a discussion of his presentation “On Experiments for Causal Inference and System Identification.” In the first part of his presentation, Professor Nihat Ay of the Max P
From playlist Franke Program in Science and the Humanities
On Experiments for Causal Inference and System Identification, Nihat Ay
In the first part of his presentation, Professor Nihat Ay of the Max Planck Institute for Mathematics in the Sciences will provide an introduction to the field of causal networks. He will focus on instructive simple examples in order to highlight the core conceptual and philosophical ideas
From playlist Franke Program in Science and the Humanities
MSM Conference 2010 Part 13 -- Lisa Eaton, Ph.D.
Sponsored by the Center for Interdisciplinary Research on AIDS at Yale University, the Connecticut AIDS Resource Coalition and the Connecticut Department of Public Health, this June 4, 2010 conference aimed to build agency capacity to implement interventions and reduce new infections among
From playlist Center for Interdisciplinary Research on AIDS
Computational Advances in Social Science Experiments
Dr. Lisa Argyle, Assistant Professor of Political Science at Brigham Young University, talks about how experiments can be advanced using computational methods.
From playlist SICSS 2022
Reading My Research to Put You to Sleep 💤 | insomnia sleep aid | calm reading
I turned off most ads for this video, please consider supporting me on Patreon 🧠 http://patreon.com/braincraft Join the Discord! 👾 https://discord.gg/uBacq3APnp Why is this video orange? Blue light, the kind emitted from screens, can suppress your production of melatonin (which makes us f
From playlist My Research
Integration 8 The Substitution Rule in Integration Part 2 Example 6
Working through an example using substitution in integration.
From playlist Integration
Luciano Campi, seminar - 15 February 2018
QUANTITATIVE FINANCE SEMINARS @ SNS Prof. Luciano Campi, London School of Economics Nonzero-sum stochastic differential games with impulse controls: a verification theorem with applications Abstract: We consider a general nonzero-sum impulse game with two players. The main mathematical
From playlist Quantitative Finance Seminar @ SNS
Waves 2_13 Superposition of Waves and Interference
The principle of superposition of waves and interference.
From playlist Physics - Waves
A16 The method of variation of parameters
Starting the derivation for the equation that is used to find the particular solution of a set of differential equations by means of the variation of parameters.
From playlist A Second Course in Differential Equations
Spotlight Talks Pt1: Jiaoyang Huang, Arjun Nitin Bhagoji, Rosemary Ke
Workshop on Theory of Deep Learning: Where next? Topic: Spotlight Talks: Jiaoyang Huang, Arjun Nitin Bhagoji, Rosemary Ke Speaker: Various Date: October 17, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics
Stanford Seminar - HabitLab: In-the-wild Behavior Change Experiments at Scale
Geza Kovacs Stanford University May 31, 2019 Behavior change systems help people manage their time online. However, existing productivity systems have tended to assume a one-size-fits all solution, whereas there are many factors - novelty effects, attrition, influences from other apps and
From playlist Stanford Seminars
Experts in Emotion 19.1 -- Barbara Fredrickson on Positive Emotion
Experts in Emotion Series; June Gruber, Yale University In this episode, Dr. June Gruber will speak about Positive Emotion with Dr. Barbara Fredrickson from the University of North Carolina, Chapel Hill. Dr. Fredrickson will share what first got her interested in this topic and highlight
From playlist Experts in Emotion Series with June Gruber
Statistical Rethinking 2023 - 01 - The Golem of Prague
Full course details at https://github.com/rmcelreath/stat_rethinking_2023 Chapters: 00:00 Introduction 03:30 DAGs (causal models) 17:50 Golems (stat models) 43:06 Owls (workflow) Intro music: https://www.youtube.com/watch?v=9yHZdLswArc
From playlist Statistical Rethinking 2023