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)
(ML 7.7.A1) Dirichlet distribution
Definition of the Dirichlet distribution, what it looks like, intuition for what the parameters control, and some statistics: mean, mode, and variance.
From playlist Machine Learning
Uncertainty modeling, Maximum Entropy principles and Power law by Karmeshu Kar
Modern Finance and Macroeconomics: A Multidisciplinary Approach URL: http://www.icts.res.in/program/memf2015 DESCRIPTION: The financial meltdown of 2008 in the US stock markets and the subsequent protracted recession in the Western economies have accentuated the need to understand the dy
From playlist Modern Finance and Macroeconomics: A Multidisciplinary Approach
The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
Statistics: Ch 7 Sample Variability (3 of 14) The Inference of the Sample Distribution
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn if the number of samples is greater than or equal to 25 then: 1) the distribution of the sample means is a normal distr
From playlist STATISTICS CH 7 SAMPLE VARIABILILTY
Uncovering universality in the entanglement of strongly chaotic subsystems by Arul Lakshminarayan
Indian Statistical Physics Community Meeting 2016 URL: https://www.icts.res.in/discussion_meeting/details/31/ DATES Friday 12 Feb, 2016 - Sunday 14 Feb, 2016 VENUE Ramanujan Lecture Hall, ICTS Bangalore This is an annual discussion meeting of the Indian statistical physics community wh
From playlist Indian Statistical Physics Community Meeting 2016
Anna Vershynina: "Quasi-relative entropy: the closest separable state & reversed Pinsker inequality"
Entropy Inequalities, Quantum Information and Quantum Physics 2021 "Quasi-relative entropy: the closest separable state and the reversed Pinsker inequality" Anna Vershynina - University of Houston Abstract: It is well known that for pure states the relative entropy of entanglement is equ
From playlist Entropy Inequalities, Quantum Information and Quantum Physics 2021
Pierre Baudot (8/19/20): Cohomological characterization of information structures
Speaker: Pierre Baudot, Median Technologies. In collaboration in part with Daniel Bennequin, Monica Tapia, and Jean-Marc Goaillard Title: Cohomological characterization of information and higher order statistical structures - Machine learning and statistical physics aspects Abstract: We
From playlist AATRN 2020
How to find a t critical value on the ti 83 AND how to find the area under a t distribution curve,
From playlist TI 83 for Statistics
Workshop 1 "Operator Algebras and Quantum Information Theory" - CEB T3 2017 - H.Osaka
Hiroyuki Osaka (Ritsumeikan) / 14.09.17 Title: Operator means and application to generalized entropies Abstract: In this talk we present a relation between generalized entropies and operator means. For example, as pointed by Furuichi \cite{SF11}, two upper bounds on the Tsallis entropie
From playlist 2017 - T3 - Analysis in Quantum Information Theory - CEB Trimester
Statistics: Ch 7 Sample Variability (2 of 14) Two Useful Distributions of a Sample
Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 We will learn the sample size (n) must be large enough to represent a population: 1) when many samples (each size n) are taken “the (
From playlist STATISTICS CH 7 SAMPLE VARIABILILTY
What is a t distribution? Overview of the t test, t score formula, and the t-table. Also, when to use a z score vs. t score.
From playlist Probability Distributions
What is the Chi-Squared distribution? Extensive video!
See all my videos at http://www.zstatistics.com/ 0:16 Introduction 2:20 History 3:21 Derivation - where does it come from? 9:40 Mean and Standard deviation 15:48 Visualisation! Changing the degrees of freedom. Note: videos on Chi-squared goodness of fit and Chi-squared test for independe
From playlist Distributions (10 videos)
OCR MEI Statistics Minor I: Binomial Distribution: 05 EXTENSION Deriving E(X)
https://www.buymeacoffee.com/TLMaths Navigate all of my videos at https://sites.google.com/site/tlmaths314/ Like my Facebook Page: https://www.facebook.com/TLMaths-1943955188961592/ to keep updated Follow me on Instagram here: https://www.instagram.com/tlmaths/ Many, MANY thanks to Dea
From playlist OCR MEI Statistics Minor I: Binomial Distribution
05 Data Analytics: Parametric Distributions
Lecture on parametric distributions, examples and applications. Follow along with the demonstration workflows in Python: o. Interactive visualization of parametric distributions: https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/Interactive_ParametricDistributions.ipynb o.
From playlist Data Analytics and Geostatistics
Continuous Distributions: Beta and Dirichlet Distributions
Video Lecture from the course INST 414: Advanced Data Science at UMD's iSchool. Full course information here: http://www.umiacs.umd.edu/~jbg/teaching/INST_414/
From playlist Advanced Data Science
Lecture 10 - Statistical Distributions
This is Lecture 10 of the CSE519 (Data Science) course taught by Professor Steven Skiena [http://www.cs.stonybrook.edu/~skiena/] at Stony Brook University in 2016. The lecture slides are available at: http://www.cs.stonybrook.edu/~skiena/519 More information may be found here: http://www
From playlist CSE519 - Data Science Fall 2016
Central Limit Theorem - Sampling Distribution of Sample Means - Stats & Probability
This statistics video tutorial provides a basic introduction into the central limit theorem. It explains that a sampling distribution of sample means will form the shape of a normal distribution regardless of the shape of the population distribution if a large enough sample is taken from
From playlist Statistics
From playlist STAT 200 Video Lectures
Value distribution of long Dirichlet polynomials and applications to the Riemann...-Maksym Radziwill
Maksym Radziwill Value distribution of long Dirichlet polynomials and applications to the Riemann zeta-function Stanford University; Member, School of Mathematics October 1, 2013 For more videos, visit http://video.ias.edu
From playlist Mathematics