Overview of non probability sampling; advantages and disadvantages, types. 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-statistics
From playlist Sampling
This lesson introduces the different sample methods when conducting a poll or survey. Site: http://mathispower4u.com
From playlist Introduction to Statistics
This lesson reviews sources of bias when conducting a survey or poll. Site: http://mathispower4u.com
From playlist Introduction to Statistics
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 "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
Statistics - Types of sampling
This video will show you the many ways that you could sample. Remember to look for those small differences such as if you are breaking things into groups first. For more videos visit http://www.mysecretmathtutor.com
From playlist Statistics
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 systematic sampling? Advantages and disadvantages. How to perform systematic sampling and repeated systematic 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.c
From playlist Sampling
What is a Sampling Distribution?
Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? 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.creat
From playlist Probability Distributions
Level 1 Chartered Financial Analyst (CFA ®): Measures of dispersion including volatility
Session 2, Reading 8 (Part 2): A previous video in this CFA playlist looked at classic measures of central tendency. This is also called the first moment of the distribution or the distributions the location where is the distribution centered. When we say that I think most of us think of t
From playlist Level 1 Chartered Financial Analyst (CFA ®) Volume 1
Daniel Kuhn: "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machi..."
Intersections between Control, Learning and Optimization 2020 "Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning" Daniel Kuhn - École Polytechnique Fédérale de Lausanne (EPFL) Abstract: Many decision problems in science, engineering and economi
From playlist Intersections between Control, Learning and Optimization 2020
Lecture 9 - Approx/Estimation Error & ERM | Stanford CS229: Machine Learning (Autumn 2018)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3ptwgyN Anand Avati PhD Candidate and CS229 Head TA To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-autumn2018.h
From playlist Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018
Binomial test: if Elon Musk samples 100 twitter accounts, how many bots (fakes) are too many?
Elon Musk is holding up his twitter purchase to investigate their claim that only 5.0% of the accounts on the platform are fake. If he samples 100 accounts, how many is too many; i.e., at what number should he reject the null hypothesis? Subscribe here https://www.youtube.com/c/bionicturt
From playlist FRM applications
Stanford CS229: Machine Learning | Summer 2019 | Lecture 13-Statistical Learning Uniform Convergence
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3py8nGr Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html
From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)
A Random Matrix Bayesian framework for out-of-sample quadratic optimization - Marc Potters
Marc Potters CFM November 6, 2013 For more videos, please visit http://video.ias.edu
From playlist Mathematics
Environment oblivious risk-aware bandit algorithms by Jayakrishnan Nair
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 resear
From playlist Advances in Applied Probability 2019
The virtue of Bayesian analysis in food risk assessment, Jukka Ranta - Bayes@Lund 2018
Find more info about Bayes@Lund, including slides, here: https://bayesat.github.io/lund2018/bayes_at_lund_2018.html
From playlist Bayes@Lund 2018
Statistical Learning: 4.4 Logistic Regression Case Control Sampling and Multiclass
Statistical Learning, featuring Deep Learning, Survival Analysis and Multiple Testing You are able to take Statistical Learning as an online course on EdX, and you are able to choose a verified path and get a certificate for its completion: https://www.edx.org/course/statistical-learning
From playlist Statistical Learning
Prevalence, Predictors and Treatment of Mental Health Problems in Syrian Refugee Children
Millions of children across the world are affected by war and displacement. As well as having experienced traumatic war-related events, many refugee children end up living in adverse conditions with little access to basic resources. Professor Michael Pluess reports new findings from the BI
From playlist Refugee Program Seminars
Random Sampling - Statistical Inference
In this video I talk about Random Sampling - I give you a full, in-depth primer about random sampling and what sampling is in general. I then discuss the two ways of taking a random sample from a population (1st way: No replacement; 2nd way: With replacement) and point out the difference b
From playlist Statistical Inference