Introduction to Frequency Distributions in Statistics (3-2)
Frequency is a descriptive statistic that organizes data into a distribution. A frequency distribution is a graphical display that tells us how many scores we have in total and how often each of those scores appears in our data set. A distribution is the general name for any organized set
From playlist WK3 Frequency - Online Statistics for the Flipped Classroom
The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
In Class Example Difference of Sample Means
A beneficial in class example of difference of sample means
From playlist Unit 7 Probability C: Sampling Distributions & Simulation
Learning and Testing k-Model Distributions - Rocco Servidio
Rocco Servidio Columbia University April 25, 2011 A k-modal probability distribution over the domain {1,...,N} is one whose histogram has at most k "peaks" and "valleys". Such distributions are a natural generalization of the well-studied class of monotone increasing (or monotone decreasin
From playlist Mathematics
Clustering 1: monothetic vs. polythetic
Full lecture: http://bit.ly/K-means The aim of clustering is to partition a population into sub-groups (clusters). Clusters can be monothetic (where all cluster members share some common property) or polythetic (where all cluster members are similar to each other in some sense).
From playlist K-means Clustering
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
What is the t-distribution? An extensive guide!
See all my videos at http://www.zstatistics.com/videos/ 0:00 Introduction 2:17 Overview 6:06 Sampling RECAP 12:27 Visualising the t distribution 14:24 Calculating values from the t distribution (EXCEL and t-tables!)
From playlist Distributions (10 videos)
An overview and introduction to understanding sampling distributions of proportions [sample proportions] and how to calculate them
From playlist Unit 7 Probability C: Sampling Distributions & Simulation
Statistics: Introduction to the Shape of a Distribution of a Variable
This video introduces some of the more common shapes of distributions http://mathispower4u.com
From playlist Statistics: Describing Data
Nexus Trimester - Ronitt Rubinfeld (MIT and Tel Aviv University) 2/2
Testing properties of distributions over big domains : information theoretic quantities Ronitt Rubinfeld (MIT and Tel Aviv University) march 10, 2016 Abstract: We survey several works regarding the complexity of testing global properties of discrete distributions, when given access to o
From playlist 2016-T1 - Nexus of Information and Computation Theory - CEB Trimester
Gap Statistics for Confined Particles with Power-law Interactions by Saikat Santra
ICTS In-house 2022 Organizers: Chandramouli, Omkar, Priyadarshi, Tuneer Date and Time: 20th to 22nd April, 2022 Venue: Ramanujan Hall inhouse@icts.res.in An exclusive three-day event to exchange ideas and research topics amongst members of ICTS.
From playlist ICTS In-house 2022
Ch9Pr18: Probability Distributions
A gentle introduction to probability distributions by looking at the uniform, binomial, geometric and Poisson distributions. This is Chapter 9 Problem 18 from the MATH1231/1241 Algebra notes. Presented by Thomas Britz from UNSW.
From playlist Mathematics 1B (Algebra)
Extremes and Records by Sanjib Sabhapandit ( Lecture - 1 )
PROGRAM BANGALORE SCHOOL ON STATISTICAL PHYSICS - X ORGANIZERS : Abhishek Dhar and Sanjib Sabhapandit DATE : 17 June 2019 to 28 June 2019 VENUE : Ramanujan Lecture Hall, ICTS Bangalore This advanced level school is the tenth in the series. This is a pedagogical school, aimed at bridgin
From playlist Bangalore School on Statistical Physics - X (2019)
Stochastic climate models with Lévy noise by Michael Hoegele (Part 1)
ORGANIZERS: Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATES: Monday 23 May, 2016 - Saturday 23 Jul, 2016 VENUE: Madhava Lecture Hall, ICTS, Bangalore This program is first-of-its-kind in India with a specific focus to p
From playlist Summer Research Program on Dynamics of Complex Systems
Lecture 2. Power law and scale-free networks.
Network Science 2021 @ HSE http://www.leonidzhukov.net/hse/2021/networks/
From playlist Network Science, 2021
Introduction to Probability and Statistics 131A. Lecture 4. Joint Distribution
UCI Math 131A: Introduction to Probability and Statistics (Summer 2013) Lec 04. Introduction to Probability and Statistics: Joint Distribution View the complete course: http://ocw.uci.edu/courses/math_131a_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.
From playlist Math 131A: Introduction to Probability and Statistics
What is the Heisenberg Uncertainty Principle? A wave packet approach
In this video I would like to answer a simple question: according to quantum mechanics, how do you describe a freely moving particle? It sounds simple, but what we will discover is that by attempting to answer this question, we will actually uncover one of the most profound ideas in physic
From playlist Quantum Physics
Clustering (3): K-Means Clustering
The K-Means clustering algorithm. Includes derivation as coordinate descent on a squared error cost function, some initialization techniques, and using a complexity penalty to determine the number of clusters.
From playlist cs273a
Lecture 4 | Machine Learning (Stanford)
Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng lectures on Newton's method, exponential families, and generalized linear models and how they relate to machine learning. This course provides a broad introduction to
From playlist Lecture Collection | Machine Learning