Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers theoretical ideas / overview of estimation types for structural equation modeling with the most focus on maximum likelihood. Lecture materials and assignment available at statisticsofdoom.com. http
From playlist Structural Equation Modeling
Network Analysis. Course introduction.
Introduction to the Social Network Analysis course.
From playlist Structural Analysis and Visualization of Networks.
SA02: Structural Analysis: Stability
This lecture is a part of our online course on introductory structural analysis. Sign up using the following URL: https://courses.structure.education/ In addition to updated, expanded, and better organized video lectures, the course contains quizzes and other learning content. Solution f
From playlist Dr. Structure: Structural Analysis Video Lectures
R - Full Structural Equation Models Lecture
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers how to program reflexive and formative indicators in lavaan, their interpretation, and how to use them. We talk about how to convert from a measurement model only to a full structural model. Lectur
From playlist Structural Equation Modeling
R - Structural Equation Model Basics Lecture 1
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers the basic terminology for structural equation modeling including: identification, scaling, variable types, manifest/latent variables, path coefficient types, endogenous/exogenous variables, degrees o
From playlist Structural Equation Modeling
SA30: Slope-Deflection Method (Fixed-End Moments)
This lecture is a part of our online course on introductory structural analysis. Sign up using the following URL: https://courses.structure.education/ In addition to updated, expanded, and better organized video lectures, the course contains quizzes and other learning content. Solution
From playlist Dr. Structure: Structural Analysis Video Lectures
SA23: Virtual Work Method (Frames)
This lecture is a part of our online course on introductory structural analysis. Sign up using the following URL: https://courses.structure.education/ In addition to updated, expanded, and better organized video lectures, the course contains quizzes and other learning content. Solution
From playlist Dr. Structure: Structural Analysis Video Lectures
Concrete Slab Depth Example (Part 5) | Reinforced Concrete Design
http://goo.gl/mn8DHg for more FREE video tutorials covering Concrete Structural Design The video checks the obtained design slab depth with regards to assumptions & does discussion on the overall calculations of finding slab depth. At first, the video shows the calculations of finding out
From playlist SpoonFeedMe: Concrete Structures
R - SEM - Hierarchical Confirmatory Factor Analysis Class Assignment
Recorded: Summer 2015 Lecturer: Dr. Erin M. Buchanan Packages needed: lavaan, semPlot Class assignment for structural equation modeling. Topics covered include hierarchical or second order confirmatory factor analysis (CFA), bi-factor models, fit indices, and loadings. Lecture materials
From playlist Structural Equation Modeling
Tamir Bendory - Recovering small molecular structures using cryo-EM - IPAM at UCLA
Recorded 16 November 2022. Tamir Bendory of Tel Aviv University Electrical Engineering presents "Recovering small molecular structures using cryo-EM" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: Any current cryo-EM algorithmic pipeline entails recovering the 3-D struct
From playlist 2022 Cryo-Electron Microscopy and Beyond
Carlos Esteve Yague - Spectral decomposition of atomic structures in heterogeneous cryo-EM
Recorded 18 November 2022. Carlos Esteve-Yague of the University of Cambridge Department of Applied Mathematics and Theoretical Physics presents "Spectral decomposition of atomic structures in heterogeneous cryo-EM" at IPAM's Cryo-Electron Microscopy and Beyond Workshop. Abstract: In this
From playlist 2022 Cryo-Electron Microscopy and Beyond
Elisabeth Gassiat - Manifold Learning with Noisy Data
It is a common idea that high dimensional data (or features) may lie on low dimensional support making learning easier. In this talk, I will present a very general set-up in which it is possible to recover low dimensional non-linear structures with noisy data, the noise being totally unkno
From playlist 8th edition of the Statistics & Computer Science Day for Data Science in Paris-Saclay, 9 March 2023
Mathematics for cryo-electron microscopy – Amit Singer – ICM2018
Mathematics in Science and Technology Invited Lecture 17.8 Mathematics for cryo-electron microscopy Amit Singer Abstract: Single-particle cryo-electron microscopy (cryo-EM) has recently joined X-ray crystallography and NMR spectroscopy as a high-resolution structural method for biologica
From playlist Mathematics in Science and Technology
On the competition between advection and vortex stretching -Jiajie Chen
Workshop on Recent developments in incompressible fluid dynamics Topic: On the competition between advection and vortex stretching Speaker: Jiajie Chen Affiliation: California Institute of Technology Date: April 07, 2022 Whether the 3D incompressible Euler equations can develop a finite-
From playlist Mathematics
From playlist Plenary talks One World Symposium 2020
Bayesian inference and convex geometry: theory, methods, (...) - Pereyra - Workshop 2 - CEB T1 2019
Marcelo Pereyra (Heriot-Watt Univ.) / 14.03.2019 Bayesian inference and convex geometry: theory, methods, and algorithms. This talk summarises some new developments in theory, methods, and algorithms for performing Bayesian inference in high-dimensional models that are log-concave, with
From playlist 2019 - T1 - The Mathematics of Imaging
Uniform Well-Posedness and Inviscid Limit for the Benjamin-Ono-Burgers Equation - Zihua Guo
Zihua Guo Institute for Advanced Study December 13, 2010 We prove that the Cauchy problem for the Benjamin-Ono-Burgers equation is uniformly globally well-posed in H^1 for all "\epsilon\in [0,1]". Moreover, we show that for any T greater than 0 the solution converges in C([0,T]:H^1) to tha
From playlist Mathematics
R - Structural Equation Model Basics Lecture 2
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers the basic terminology for structural equation modeling including: identification, scaling, variable types, manifest/latent variables, path coefficient types, endogenous/exogenous variables, degrees o
From playlist Structural Equation Modeling
Jérémie Szeftel The resolution of the bounded L2 curvature conjecture in General Relativity (Part 1)
In order to control locally a space-time which satisfies the Einstein equations, what are the minimal assumptions one should make on its curvature tensor? The bounded L2 curvature conjecture roughly asserts that one should only need L2 bounds of the curvature tensor on a given space-like
From playlist Ecole d'été 2014 - Analyse asymptotique en relativité générale
R - Hierarchical Confirmatory Factor Analysis Lecture
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer 2016 This lecture covers the basics to understanding a hierarchical CFA, in contrast to a bifactor CFA model. Interpretation and discussion of the theoretical differences between these models and first order models are discu
From playlist Structural Equation Modeling