Bootstrap Calibration - Statistical Inference
In this video I introduce you to bootstrap calibration, a technique for improving your confidence intervals, and explain how and why it is so useful.
From playlist Statistical Inference
Bootstrap World - Statistical Inference
In this video I introduce Bootstrap World -- here I go over our basic example where we try to estimate the value of θ by using a random sample. We then use a sampling distribution to create a confidence interval. Then, I show you how Bootstrap Samples can help us overcome the problem we fa
From playlist Statistical Inference
Empirical Distributions - Statistical Inference
In this video I first answer two questions: 1) How did we come up with Bootstraping? 2) How can we sample from a sample? I then also go over the how we make use random sampling with and without replacement in this context.
From playlist Statistical Inference
Coefficient Of Variation - Statistical Inference
In this video I talk about the coefficient of variation wherein I explain how big 'N' should be -- how many bootstrap samples should we take? This is one of this series' most technical topics but bear with me -- it covers super useful concepts!
From playlist Statistical Inference
Bootstrapping and confidence intervals in t-test | SPSS
In this video, I will demonstrate how to do bootstrapping and interpret confidence intervals. I also discuss the relationship between t values, mean differences, and standard error of mean. I recommend reading this paper for more information: https://www.frontiersin.org/articles/10.3389/f
From playlist Independent Samples t-Test
Statistical data analysis | Statistical Data Science | Part 1
In this course you will learn how to analyze data. #Statistic plays important role in terms of data analysis. Here you will get exposed to utilize and understand various statistical method to analyse data. The following topic has discussed in this course. - Central tendency (mean and me
From playlist Data Analysis
2 Sample t Test v Paired t Test
Identifying the difference between situations when a 2-sample t Test is appropriate and when a paired t Test is appropriate, including the recognition of paired dependent data versus independent samples.
From playlist Unit 9: t Inference and 2-Sample Inference
Uncertainty and Bootstrap Confidence Intervals - Video Lecture 10
Our results are invariably from a sample taken from a larger population. As such, there is uncertainty in our findings. In this module we learn to express this uncertainty as confidence intervals using bootstrap resampling. You can watch the video lecture or read the PDF document.
From playlist Data Science @ Stellenbosch University
Lecture on the bootstrap method to assess uncertainty in a sample statistic from the sample itself.
From playlist Data Analytics and Geostatistics
Ensemble techniques leverage many weak learners to create a strong learner! This video describes the basic principle, variance/bias tradeoff, homogeneous/heterogenous ensembles, bagging vs boosting vs stacking and some detailed walkthroughs of decision trees, random forests, adaboost, grad
From playlist Materials Informatics
RL Course by David Silver - Lecture 5: Model Free Control
#Reinforcement Learning Course by David Silver# Lecture 5: Model Free Control #Slides and more info about the course: http://goo.gl/vUiyjq
From playlist Learning resources
Machine Learning for HEP by Tommaso Dorigo
Discussion Meeting : Hunting SUSY @ HL-LHC (ONLINE) ORGANIZERS : Satyaki Bhattacharya (SINP, India), Rohini Godbole (IISc, India), Kajari Majumdar (TIFR, India), Prolay Mal (NISER-Bhubaneswar, India), Seema Sharma (IISER-Pune, India), Ritesh K. Singh (IISER-Kolkata, India) and Sanjay Kuma
From playlist HUNTING SUSY @ HL-LHC (ONLINE) 2021
Random matrices and high-dimensional stats: Beyond covariance matrices – N. El Karoui – ICM2018
Probability and Statistics Invited Lecture 12.11 Random matrices and high-dimensional statistics: Beyond covariance matrices Noureddine El Karoui Abstract: The last twenty-or-so years have seen spectacular progress in our understanding of the fine spectral properties of large-dimensional
From playlist Probability and Statistics
Statistical Learning: 5.4 The Bootstrap
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: 5.1 Cross Validation
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
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