Cone-shape distribution function

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

Shapes of Distributions

Identifying, symmetric, skewed, uniform, and bell-shaped distributions

From playlist Unit 1: Descriptive Statistics

Inverse normal with Z Table

Determining values of a variable at a particular percentile in a normal distribution

From playlist Unit 2: Normal Distributions

The Normal Distribution (1 of 3: Introductory definition)

More resources available at www.misterwootube.com

From playlist The Normal Distribution

(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

Sigmoid functions for population growth and A.I.

Some elaborations on sigmoid functions. https://en.wikipedia.org/wiki/Sigmoid_function https://www.learnopencv.com/understanding-activation-functions-in-deep-learning/ If you have any questions of want to contribute to code or videos, feel free to write me a message on youtube or get my co

From playlist Analysis

Distribution, Mean, Median, Mode, Range and Standard Deviation Lesson

This is part 1 of a lesson on describing data.

From playlist The Normal Distribution

Cumulative Distribution Functions and Probability Density Functions

This statistics video tutorial provides a basic introduction into cumulative distribution functions and probability density functions. The probability density function or pdf is f(x) which describes the shape of the distribution. It can tell you if you have a uniform, exponential, or nor

From playlist Statistics

Using normal distribution to find the probability

👉 Learn how to find probability from a normal distribution curve. A set of data are said to be normally distributed if the set of data is symmetrical about the mean. The shape of a normal distribution curve is bell-shaped. The normal distribution curve is such that the mean is at the cente

From playlist Statistics

Rolf Schneider: Hyperplane tessellations in Euclidean and spherical spaces

Abstract: Random mosaics generated by stationary Poisson hyperplane processes in Euclidean space are a much studied object of Stochastic Geometry, and their typical cells or zero cells belong to the most prominent models of random polytopes. After a brief review, we turn to analogues in sp

From playlist Probability and Statistics

Geodesics in First-Passage Percolation by Christopher Hoffman

PROGRAM FIRST-PASSAGE PERCOLATION AND RELATED MODELS (HYBRID) ORGANIZERS: Riddhipratim Basu (ICTS-TIFR, India), Jack Hanson (City University of New York, US) and Arjun Krishnan (University of Rochester, US) DATE: 11 July 2022 to 29 July 2022 VENUE: Ramanujan Lecture Hall and online This

From playlist First-Passage Percolation and Related Models 2022 Edited

Zakhar Kabluchko: Random Polytopes II

In these three lectures we will provide an introduction to the subject of beta polytopes. These are random polytopes defined as convex hulls of i.i.d. samples from the beta density proportional to (1 − ∥x∥2)β on the d-dimensional unit ball. Similarly, beta’ polytopes are defined as convex

From playlist Workshop: High dimensional spatial random systems

Introduction to FPP (Lecture 2) by Jack Thomas Hanson,

PROGRAM : FIRST-PASSAGE PERCOLATION AND RELATED MODELS (HYBRID) ORGANIZERS : Riddhipratim Basu (ICTS-TIFR, India), Jack Hanson (City University of New York, US) and Arjun Krishnan (University of Rochester, US) DATE : 11 July 2022 to 29 July 2022 VENUE : Ramanujan Lecture Hall and online T

From playlist First-Passage Percolation and Related Models 2022 Edited

Andreas Winter: "Entropy inequalities beyond strong subadditivity"

Entropy Inequalities, Quantum Information and Quantum Physics 2021 "Entropy inequalities beyond strong subadditivity" Andreas Winter - Universitat Autònoma de Barcelona Abstract: What are the constraints that the von Neumann entropies of the 2^n possible marginals of an n-party quantum s

From playlist Entropy Inequalities, Quantum Information and Quantum Physics 2021

Isotonic regression in general dimensions – Richard Samworth, University of Cambridge

Many problems in science and engineering involve an underlying unknown complex process that depends on a large number of parameters. The goal in many applications is to reconstruct, or learn, the unknown process given some direct or indirect observations. Mathematically, such a problem can

From playlist Approximating high dimensional functions

The Amazing Math behind Colors!

In this video, I talk about the math and science of colors for 42 minutes. Topics include cone cell response functions, electromagnetic radiation, spectral colors, luminance, color spaces, parametric equations, normal curves, mono and polychromatic light, emission spectra, spectral power

From playlist Summer of Math Exposition 2 videos

Abelian networks and sandpile models (Lecture 4) by Lionel Levine

PROGRAM :UNIVERSALITY IN RANDOM STRUCTURES: INTERFACES, MATRICES, SANDPILES ORGANIZERS :Arvind Ayyer, Riddhipratim Basu and Manjunath Krishnapur DATE & TIME :14 January 2019 to 08 February 2019 VENUE :Madhava Lecture Hall, ICTS, Bangalore The primary focus of this program will be on the

From playlist Universality in random structures: Interfaces, Matrices, Sandpiles - 2019

Colloquium MathAlp 2018 - Christian Gérard

Aspects de la théorie quantique des champs en espace-temps courbe La théorie quantique des champs est formulée d'habitude sur l'espace-temps plat de Minkowski. L'extension de ce cadre à des espaces-temps généraux permet de mettre en lumière de nouveaux phénomènes quantiques qui surviennen

From playlist Colloquiums MathAlp

Lecture 14: Color (CMU 15-462/662)

Full playlist: https://www.youtube.com/playlist?list=PL9_jI1bdZmz2emSh0UQ5iOdT2xRHFHL7E Course information: http://15462.courses.cs.cmu.edu/

From playlist Computer Graphics (CMU 15-462/662)

Statistics: Ch 7 Sample Variability (4 of 14) The Shape of the Distribution of Sample Means

Visit http://ilectureonline.com for more math and science lectures! To donate: http://www.ilectureonline.com/donate https://www.patreon.com/user?u=3236071 Regardless of the shape of the population distribution, if the sample size is large enough, the shape of the distribution of the mean

From playlist STATISTICS CH 7 SAMPLE VARIABILILTY