What is quota sampling? Advantages and disadvantages. General steps and an example of how to find a quote sample. 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.
From playlist Sampling
What is convenience sampling? Advantages and disadvantages of grab sampling. How to analyze data from convenience sampling. 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.creato
From playlist Sampling
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
Systematic Sampling (Introduction to Systematic Sampling & worked examples)
More resources available at www.misterwootube.com
From playlist Data Analysis
Sampling (4 of 5: Introductory Examples of Stratified Random Sampling)
More resources available at www.misterwootube.com
From playlist Data Analysis
SIMPLE Random Sampling Methods (12-3)
We want a representative sample. The best way to get a representative sample is to use a random sample. The best way to get a random sample is to use random sampling techniques. We can also use non-random sampling techniques. But…selecting a random sample does not guarantee it will be a re
From playlist Sampling Distributions in Statistics (WK 12 - QBA 237)
Other Sample Types and Biased Samples
Voluntary response and convenience sampling, and biased samples
From playlist Unit 4: Sampling and Experimental Design
CONVENIENCE Samples: Most Popular Non-random Sample (12-5)
Convenience sampling (a.k.a., opportunity sampling) uses a population that is easy to study and convenient to the researcher, such as a Professor who surveys his Introduction to Psychology class. It can be extremely quick, easy, and cost-effective, but also lacks power, generalizability, a
From playlist Sampling Distributions in Statistics (WK 12 - QBA 237)
Statistics: Introduction (12 of 13) Sampling: Definitions and Terms
Visit http://ilectureonline.com for more math and science lectures! We will review a sampling of definitions and terms of statistics: census, sampling frame, sampling plan, judgment sample, probability samples, random samples, systematic sample, stratified sample, and cluster sample. To
From playlist STATISTICS CH 1 INTRODUCTION
Accept-Reject Sampling : Data Science Concepts
How to sample from a distribution WITHOUT the CDF or even the full PDF! Inverse Transform Sampling Video: https://www.youtube.com/watch?v=9ixzzPQWuAY
From playlist Data Science Concepts
Coding MCMC : Data Science Code
Coding Accept-Reject, Metropolis, and talking about the tradeoffs! Accept-Reject Sampling Video : https://www.youtube.com/watch?v=OXDqjdVVePY MCMC Video : https://www.youtube.com/watch?v=yApmR-c_hKU Metropolis-Hastings Video : https://www.youtube.com/watch?v=yCv2N7wGDCw Link to Code :
From playlist Bayesian Statistics
Metropolis - Hastings : Data Science Concepts
The *most famous* MCMC method: Metropolis - Hastings. Made simple. Intro MCMC Video: https://www.youtube.com/watch?v=yApmR-c_hKU
From playlist Bayesian Statistics
Phiala Shanahan: "Machine learning for lattice field theory"
Machine Learning for Physics and the Physics of Learning 2019 Workshop I: From Passive to Active: Generative and Reinforcement Learning with Physics "Machine learning for lattice field theory" Phiala Shanahan, Massachusetts Institute of Technology (MIT) Abstract: I will discuss opportuni
From playlist Machine Learning for Physics and the Physics of Learning 2019
Markov processes and applications-5 by Hugo Touchette
PROGRAM : BANGALORE SCHOOL ON STATISTICAL PHYSICS - XII (ONLINE) ORGANIZERS : Abhishek Dhar (ICTS-TIFR, Bengaluru) and Sanjib Sabhapandit (RRI, Bengaluru) DATE : 28 June 2021 to 09 July 2021 VENUE : Online Due to the ongoing COVID-19 pandemic, the school will be conducted through online
From playlist Bangalore School on Statistical Physics - XII (ONLINE) 2021
Markov Chain Monte Carlo (MCMC) : Data Science Concepts
Markov Chains + Monte Carlo = Really Awesome Sampling Method. Markov Chains Video : https://www.youtube.com/watch?v=prZMpThbU3E Monte Carlo Video : https://www.youtube.com/watch?v=EaR3C4e600k Markov Chain Stationary Distribution Video : https://www.youtube.com/watch?v=4sXiCxZDrTU
From playlist Bayesian Statistics
Lec 17 | MIT 3.320 Atomistic Computer Modeling of Materials
Monte Carlo Simulations: Application to Lattice Models, Sampling Errors, Metastability View the complete course at: http://ocw.mit.edu/3-320S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 3.320 Atomistic Computer Modeling of Materials
Andrea Sportiello: The challenge of linear-time Boltzmann sampling
Let Xn be an ensemble of combinatorial structures of size N, equipped with a measure. Consider the algorithmic problem of exactly sampling from this measure. When this ensemble has a ‘combinatorial specification, the celebrated Boltzmann sampling algorithm allows to solve this problem with
From playlist Services numériques pour les mathématiques
Jascha Sohl-Dickstein: "Generalizing Hamiltonian Monte Carlo with Neural Networks"
Machine Learning for Physics and the Physics of Learning 2019 Workshop I: From Passive to Active: Generative and Reinforcement Learning with Physics "Generalizing Hamiltonian Monte Carlo with Neural Networks" Jascha Sohl-Dickstein, Google Abstract: We present a general-purpose method to
From playlist Machine Learning for Physics and the Physics of Learning 2019
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
Christian P. Robert: Bayesian computational methods
Abstract: This is a short introduction to the many directions of current research in Bayesian computational statistics, from accelerating MCMC algorithms, to using partly deterministic Markov processes like the bouncy particle and the zigzag samplers, to approximating the target or the pro
From playlist Probability and Statistics