Normal distribution | Multivariate continuous distributions | Conjugate prior distributions

Normal-gamma distribution

In probability theory and statistics, the normal-gamma distribution (or Gaussian-gamma distribution) is a bivariate four-parameter family of continuous probability distributions. It is the conjugate prior of a normal distribution with unknown mean and precision. (Wikipedia).

Video thumbnail

The Normal Distribution (1 of 3: Introductory definition)

More resources available at www.misterwootube.com

From playlist The Normal Distribution

Video thumbnail

Using normal distribution to find the probability

πŸ‘‰ 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

Video thumbnail

How to find the probability using a normal distribution curve

πŸ‘‰ 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

Video thumbnail

How to find the probability using a normal distribution curve

πŸ‘‰ 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

Video thumbnail

Normal Distribution: Mean, Median, Mode, and Standard Deviation From Graph

The video explains how to determine the mean, median, mode and standard deviation from a graph of a normal distribution.

From playlist The Normal Distribution

Video thumbnail

Find the probability of an event using a normal distribution curve

πŸ‘‰ 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

Video thumbnail

Learn how to create a normal distribution curve given mean and standard deviation

πŸ‘‰ 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

Video thumbnail

Learn how to use a normal distribution curve to find probability

πŸ‘‰ 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

Video thumbnail

Petru Constantinescu - On the distribution of modular symbols and cohomology classes

Motivated by a series of conjectures of Mazur, Rubin and Stein, the study of the arithmetic statistics of modular symbols has received a lot of attention in recent years. In this talk, I will highlight several results about the distribution of modular symbols, including their Gaussian dist

From playlist Γ‰cole d'Γ‰tΓ© 2022 - Cohomology Geometry and Explicit Number Theory

Video thumbnail

Lecture 2. Power law and scale-free networks.

Network Science 2021 @ HSE http://www.leonidzhukov.net/hse/2021/networks/

From playlist Network Science, 2021

Video thumbnail

Order Graphs of a Normal Distribution by Standard Deviation

This video explains how to order graph from least to greatest based up the standard deviation.

From playlist The Normal Distribution

Video thumbnail

Introduction to Probability and Statistics 131B. Lecture 01.

UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 01. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creativ

From playlist Introduction to Probability and Statistics 131B

Video thumbnail

Turbulence as Gibbs Statistics of Vortex Sheets - Alexander Migdal

Workshop on Turbulence Topic: Turbulence as Gibbs Statistics of Vortex Sheets Speaker: Alexander Migdal Affiliation: New York University Date: December 11, 2020 For more video please visit http://video.ias.edu

From playlist Mathematics

Video thumbnail

Stable Vortex Sheets and Irreversibility of Turbulence - Alexander Migdal

New kinds of vortex sheets with vorticity confined to the boundary layer are proposed and investigated in detail. Exact solutions of the steady Navier-Stokes equations for a planar vortex sheet in arbitrary background strain are found in terms of hypergeometric functions.These solutions ar

From playlist Mathematics

Video thumbnail

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

Video thumbnail

Probabilities and Processes

We continue the search for the mathematics most supportive of prediction within geology. We explore mineralizing systems and find giant ore deposits. We search for black swans and dragon kings and find generalized gamma and extreme value distributions. Power-law and log-normal distribution

From playlist Wolfram Technology Conference 2021

Video thumbnail

39 - The gamma distribution - an introduction

This video provides an introduction to the gamma distribution: describing it mathematically, discussing example situations which can be modelled using a gamma in Bayesian inference, then going on to discuss how its two parameters affect the shape of the distribution intuitively, and finall

From playlist Bayesian statistics: a comprehensive course

Video thumbnail

Introduction to Quantitative Genetics by Kavita Jain

DISCUSSION MEETING SECOND PREPARATORY SCHOOL ON POPULATION GENETICS AND EVOLUTION ORGANIZERS Deepa Agashe (NCBS-TIFR, India) and Kavita Jain (JNCASR, India) DATE: 20 February 2023 to 24 February 2023 VENUE Madhava Lecture Hall, ICTS Bengaluru We plan an intensive 1-week preparatory school

From playlist SECOND PREPARATORY SCHOOL ON POPULATION GENETICS AND EVOLUTION

Video thumbnail

Learning to find the probability using normal distribution

πŸ‘‰ 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

Video thumbnail

Introduction to Probability and Statistics 131B. Lecture 08.

UCI Math 131B: Introduction to Probability and Statistics (Summer 2013) Lec 08. Introduction to Probability and Statistics View the complete course: http://ocw.uci.edu/courses/math_131b_introduction_to_probability_and_statistics.html Instructor: Michael C. Cranston, Ph.D. License: Creativ

From playlist Introduction to Probability and Statistics 131B

Related pages

Exponential family | Bayes' theorem | Precision (statistics) | Conjugate prior | Gamma distribution | Mean | Statistics | Probability density function | Location parameter | Marginal distribution | Digamma function | Student's t-distribution | Variance | Real number | Probability distribution | Normal distribution | Normal-inverse-gamma distribution | Probability theory | Normal-exponential-gamma distribution