Statistics Lesson #1: Sampling
This video is for my College Algebra and Statistics students (and anyone else who may find it helpful). It includes defining and looking at examples of five sampling methods: simple random sampling, convenience sampling, systematic sampling, stratified sampling, cluster sampling. We also l
From playlist Statistics
What is cluster sampling? Comparison to stratified sampling. Advantages and disadvantages. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sampling-in
From playlist Sampling
Frequency Domain Interpretation of Sampling
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Analysis of the effect of sampling a continuous-time signal in the frequency domain through use of the Fourier transform.
From playlist Sampling and Reconstruction of Signals
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
How to Choose a SAMPLING Method (12-7)
When possible, use probability sampling methods, such as simple random, stratified, cluster, or systematic sampling.
From playlist Sampling Distributions in Statistics (WK 12 - QBA 237)
What is purposive (deliberate) sampling? Types of purposive sampling, advantages and disadvantages. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sam
From playlist Sampling
SamplingAndBias.5.SamplingMethods
This video is brought to you by the Quantitative Analysis Institute at Wellesley College. The material is best viewed as part of the online resources that organize the content and include questions for checking understanding: https://www.wellesley.edu/qai/onlineresources
From playlist Applied Data Analysis and Statistical Inference
JUDGMENT and SNOWBALL Non-random Sampling (12-6)
Judgment sampling (a.k.a., expert sampling, authoritative sampling, purposive sampling, judgmental sampling) is a technique in which the sample is selected based on the researcher’s (or other experts’) existing knowledge or professional judgment. It may provide highly accurate findings wit
From playlist Sampling Distributions in Statistics (WK 12 - QBA 237)
Sampling Techniques & Cautions (Full Length)
I define and discuss the differences of observational studies and experiments. I then discuss the difference between a sample and a census. I introduce two types of sampling techniques that yield biased results...Voluntary Response and Convenience Sampling. I discuss Stratified Random S
From playlist AP Statistics
From playlist Plenary talks One World Symposium 2020
Yuansi Chen: Recent progress on the KLS conjecture
Kannan, Lovász and Simonovits (KLS) conjectured in 1995 that the Cheeger isoperimetric coefficient of any log-concave density is achieved by half-spaces up to a universal constant factor. This conjecture also implies other important conjectures such as Bourgain’s slicing conjecture (1986)
From playlist Workshop: High dimensional measures: geometric and probabilistic aspects
Random band matrices: delocalization and universality - Tetiana Scherbyna
Short Talks by Postdoctoral Members Tetiana Scherbyna - September 29, 2015 http://www.math.ias.edu/calendar/event/88374/1443556800/1443557700 More videos on http://video.ias.edu
From playlist Short Talks by Postdoctoral Members
Lec 11 | MIT 2.830J Control of Manufacturing Processes, S08
Lecture 11: Introduction to analysis of variance Instructor: Duane Boning, David Hardt View the complete course at: http://ocw.mit.edu/2-830JS08 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 2.830J, Control of Manufacturing Processes S08
Dimitri Bertsekas: "Distributed and Multiagent Reinforcement Learning"
Intersections between Control, Learning and Optimization 2020 "Distributed and Multiagent Reinforcement Learning" Dimitri Bertsekas - Massachusetts Institute of Technology & Arizona State University Abstract: We discuss issues of parallelization and distributed asynchronous computation f
From playlist Intersections between Control, Learning and Optimization 2020
Deep Differential System Stability - Learning advanced computations from examples (Paper Explained)
Determining the stability properties of differential systems is a challenging task that involves very advanced symbolic and numeric mathematical manipulations. This paper shows that given enough training data, a simple language model with no underlying knowledge of mathematics can learn to
From playlist Papers Explained
Combinatorics and conformal restriction in a model of the quantum Hall transition - Ilya Gruzberg
Ilya Gruzberg University of Chicago November 5, 2013 For more videos, please visit http://video.ias.edu
From playlist Mathematics
What Do We Know About Matrix Estimation? (Lecture 3) by Devavrat Shah
PROGRAM : ADVANCES IN APPLIED PROBABILITY ORGANIZERS : Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah and Piyush Srivastava DATE & TIME : 05 August 2019 to 17 August 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in r
From playlist Advances in Applied Probability 2019
Ivan Yegorov: "Attenuation of the curse of dimensionality in continuous-time nonlinear optimal f..."
High Dimensional Hamilton-Jacobi PDEs 2020 Workshop I: High Dimensional Hamilton-Jacobi Methods in Control and Differential Games "Attenuation of the curse of dimensionality in continuous-time nonlinear optimal feedback stabilization problems" Ivan Yegorov, North Dakota State University
From playlist High Dimensional Hamilton-Jacobi PDEs 2020
EEVblog #1109 - Spectrum Analyser Design Walk-through
A step-by-step walk-though of a typical modern low cost 3GHz "All Digital IF" spectrum Analyser design. Forum: http://www.eevblog.com/forum/blog/eevblog-1109-spectrum-analyser-design-walk-through/ EEVblog Main Web Site: http://www.eevblog.com The 2nd EEVblog Channel: http://www.youtube.c
From playlist Product Reviews & Teardowns
(ML 17.11) Rejection sampling - uniform case
From playlist Machine Learning