Statistical inference | Monte Carlo methods | Nonparametric statistics | Resampling (statistics)
In statistics, resampling is the creation of new samples based on one observed sample.Resampling methods are: 1. * Permutation tests (also re-randomization tests) 2. * Bootstrapping 3. * Cross validation (Wikipedia).
In this video, I define what it means to rearrange (or reshuffle) a series and show that if a series converges absolutely, then any rearrangement of the series converges to the same limit. Interesting Consequence: https://youtu.be/Mw7ocynGVmw Series Playlist: https://www.youtube.com/play
From playlist Series
What is an enlargement dilation
👉 Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
Linear regression is used to compare sets or pairs of numerical data points. We use it to find a correlation between variables.
From playlist Learning medical statistics with python and Jupyter notebooks
👉 Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
Statistics 5_1 Confidence Intervals
In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.
From playlist Medical Statistics
Which Is Worse: Underpopulation Or Overpopulation?
This video was made in partnership with Gates Ventures. The human population of the world will soon peak – and then decrease – thanks to a combination of two quickly changing economic and educational trends. LEARN MORE ************** To learn more about this topic, start your googling wi
From playlist Policy
The Mathematics of Population Growth Using Linear Models
Introduce implicit and explicit population models and their notation. Solve guided problems involving population models and their applications.
From playlist Discrete Math
What are dilations, similarity and scale factors
👉 Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
Statistical Learning: 13.6 Resampling Approaches II
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
Statistical Learning: 13.5 Resampling Approaches
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
Join me on a voyage of discovery, taking a closer look at statistics. Introduction with terms and definitions.
From playlist Medical Statistics
STAT 200 Lesson 5 Full Video Lecture
Table of Contents: 00:25 - Learning objectives 00:43 - Review: Symbols 01:59 - Hypothesis testing scenario example 02:58 - Five step hypotehsis testing procedure 04:43 - 1. Identify and write null and alternative hypotheses 08:26 - Example: Proportion broken products 10:15
From playlist STAT 200 Video Lectures
Statistical Learning: 13.R.1 Bonferroni and Holm II
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
Bootstrap resampling for probability and confidence intervals
#DataScience #Bootstrap #Resampling #Wolfram #Confidence #Intervals #Probability In this video I show you how to think about using bootstrap resampling to express uncertainty in a statistic and also how to think about the sampling distribution of a test statistic and the probability of th
From playlist Statistics
NIPS 2011 Big Learning - Algorithms, Systems, & Tools Workshop: Bootstrapping Big Data...
Big Learning Workshop: Algorithms, Systems, and Tools for Learning at Scale at NIPS 2011 Invited Talk: Bootstrapping Big Data by Ariel Kleiner Abstract: The bootstrap provides a simple and powerful means of assessing the quality of estimators. However, in settings involving large da
From playlist NIPS 2011 Big Learning: Algorithms, System & Tools Workshop
Bootstrap resampling for confidence intervals and sampling distrubutions
#DataScience #Bootstrap #Resampling #Julia #VSCode #Confidence #Intervals #Probability In this video I show you how to think about using bootstrap resampling to express uncertainty in a statistic and also how to think about the sampling distribution of a test statistic and the probability
From playlist Julia on Coursera
Gussow2018 - Unconventional Reservoir Uncertainty
My talk from Gussow 2018 Conference in Lake Louise, Alberta, Canada. I recorded the talk afterwards, with added references and a little more time to explain all the topics.
From playlist Random Talks
Discrete Math - 2.4.2 Recurrence Relations
What is a recurrence relation, and how can we write it as a closed function? Textbook: Rosen, Discrete Mathematics and Its Applications, 7e Playlist: https://www.youtube.com/playlist?list=PLl-gb0E4MII28GykmtuBXNUNoej-vY5Rz
From playlist Discrete Math I (Entire Course)
Lecture on the bootstrap method to assess uncertainty in a sample statistic from the sample itself.
From playlist Data Analytics and Geostatistics
