This lesson introduces the different sample methods when conducting a poll or survey. Site: http://mathispower4u.com
From playlist Introduction to Statistics
Randomness - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Research Methods 1: Sampling Techniques
In this video, I discuss several types of sampling: random sampling, stratified random sampling, cluster sampling, systematic sampling, and convenience sampling. The figures presented are adopted/adapted from: https://www.pngkey.com/detail/u2y3q8q8e6o0u2t4_population-and-sample-graphic-de
From playlist Research Methods
Random Processes and Stationarity
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Introduction to describing random processes using first and second moments (mean and autocorrelation/autocovariance). Definition of a stationa
From playlist Random Signal Characterization
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Representing multivariate random signals using principal components. Principal component analysis identifies the basis vectors that describe the la
From playlist Random Signal Characterization
Laura Grigori - Randomization techniques for solving large scale linear algebra problems
Recorded 30 March 2023. Laura Grigori of Sorbonne Université presents "Randomization techniques for solving large scale linear algebra problems" at IPAM's Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing workshop. Learn more online at: http://www.ipa
From playlist 2023 Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing
Fellow Short Talks: Dr Peter Richtarik, Edinburgh University
Peter Richtarik is a Reader in the School of Mathematics at the University of Edinburgh, and is the Head of a Big Data Optimization Lab. He received his PhD from Cornell University in 2007, and currently holds an EPSRC Early Career Fellowship in Mathematical Sciences. RESEARCH My main re
From playlist Short Talks
Nexus Trimester - Randall Dougherty (Center for Communications Research)
Entropy inequalities and linear rank inequalities Randall Dougherty (Center for Communications Research) February 16, 2016 Abstract: Entropy inequalities (Shannon and non-Shannon) have been used to obtain bounds on the solutions to a number of problems. When the problems are restricted t
From playlist Nexus Trimester - 2016 - Fundamental Inequalities and Lower Bounds Theme
This is How You Use the Chain Rule in Calculus
This is How You Use the Chain Rule in Calculus
From playlist Random calculus problems:)
Randomness Quiz - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Arithmetic regularity, removal, and progressions - Jacob Fox
Title: Marston Morse Lectures Topic: Arithmetic regularity, removal, and progressions Speaker: Jacob Fox Affiliation: Stanford University Date: Oct 25, 2016 For more video, visit http://video.ias.edu
From playlist Mathematics
Pseudo Random Number Generator Solution - Applied Cryptography
This video is part of an online course, Applied Cryptography. Check out the course here: https://www.udacity.com/course/cs387.
From playlist Applied Cryptography
Anthony Nouy: Adaptive low-rank approximations for stochastic and parametric equations [...]
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Numerical Analysis and Scientific Computing
Stanford Seminar - Towards theories of single-trial high dimensional neural data analysis
EE380: Computer Systems Colloquium Seminar Towards theories of single-trial high dimensional neural data analysis Speaker: Surya Ganguli, Stanford, Applied Physics Neuroscience has entered a golden age in which experimental technologies now allow us to record thousands of neurons, over
From playlist Stanford EE380-Colloquium on Computer Systems - Seminar Series
Yuxin Chen: "The Effectiveness of Nonconvex Tensor Completion: Fast Convergence & Uncertainty Qu..."
Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021 Workshop IV: Efficient Tensor Representations for Learning and Computational Complexity "The Effectiveness of Nonconvex Tensor Completion: Fast Convergence and Uncertainty Quantification" Yuxin Chen - Princeto
From playlist Tensor Methods and Emerging Applications to the Physical and Data Sciences 2021
Thresholds for Random Subspaces, aka, LDPC Codes Achieve List-Decoding Capacity - Mary Wootters
Computer Science/Discrete Mathematics Seminar I Topic: Thresholds for Random Subspaces, aka, LDPC Codes Achieve List-Decoding Capacity Speaker: Mary Wootters Affiliation: Stanford University Date: November 30, 2020 For more video please visit http://video.ias.edu
From playlist Mathematics
What is "Probability sampling?" A brief overview. Four different types, their advantages and disadvantages: cluster, SRS (Simple Random Sampling), Systematic and Stratified sampling. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with
From playlist Sampling
8ECM Invited Lecture: Daniel Kressner
From playlist 8ECM Invited Lectures
A matrix of coefficients, when viewed in column form, is used to create a column space. This is simply the space created by a linear combination of the column vectors. A resulting vector, b, that does not lie in this space will not result in a solution to the linear system. A set of vec
From playlist Introducing linear algebra
Furstenberg sets in finite fields - Zeev Dvir
Computer Science/Discrete Mathematics Seminar I Topic: Furstenberg sets in finite fields Speaker: Zeev Dvir Affiliation: Princeton University Date: October 28, 2019 For more video please visit http://video.ias.edu
From playlist Mathematics