Probability distributions

Kaniadakis exponential distribution

The Kaniadakis exponential distribution (or κ-exponential distribution) is a probability distribution arising from the maximization of the under appropriate constraints. It is one example of a Kaniadakis distribution. The κ-exponential is a generalization of the exponential distribution in the same way that Kaniadakis entropy is a generalization of standard Boltzmann–Gibbs entropy or Shannon entropy. The κ-exponential distribution of Type I is a particular case of the κ-Gamma distribution, whilst the κ-exponential distribution of Type II is a particular case of the κ-Weibull distribution. (Wikipedia).

Kaniadakis exponential distribution
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Multivariate Gaussian distributions

Properties of the multivariate Gaussian probability distribution

From playlist cs273a

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Introduction to Exponential Distribution Probabilities

This video introduces the exponential distribution and exponential distribution probabilities. http://mathispower4u.com

From playlist Continuous Random Variables

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The Normal Distribution (1 of 3: Introductory definition)

More resources available at www.misterwootube.com

From playlist The Normal Distribution

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Exponential Growth Models

Introduces notation and formulas for exponential growth models, with solutions to guided problems.

From playlist Discrete Math

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The Exponential Distribution and Exponential Random Variables | Probability Theory

What is the exponential distribution? This is one of the most common continuous probability distributions. We'll go over an introduction of the exponential distribution and exponentially distributed random variables in today's probability theory video lesson. The exponential distribution

From playlist Probability Theory

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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

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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

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Inverse normal with Z Table

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

From playlist Unit 2: Normal Distributions

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QRM 4-3: A Bestiary of Tails

Welcome to Quantitative Risk Management (QRM). There is so much confusion about tails, that it is time to clarify what we are speaking about. Heavy tails, long tails and fat tails are not the same thing from a statistical and probabilistic point of view. In mathematics we need to be preci

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Stanford CS229: Machine Learning | Summer 2019 | Lecture 6 - Exponential Family & GLM

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Eb7mIi Anand Avati Computer Science, PhD To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-summer2019.html

From playlist Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)

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Exponential Distribution! Definition | Calculations | Why is it called "Exponential"?

See all my videos at http://www.zstatistics.com/ 0:00 Intro 0:49 Definition 4:41 Visualisation (PDF and CDF) 9:21 Example (with calculations) 17:05 Why is it called "Exponential"??

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Generalized Linear Model (Part B)

Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in

From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics

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Generalized Linear Model (Part A)

Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in

From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics

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21. Generalized Linear Models

MIT 18.650 Statistics for Applications, Fall 2016 View the complete course: http://ocw.mit.edu/18-650F16 Instructor: Philippe Rigollet In this lecture, Prof. Rigollet talked about linear model, generalization, and examples of disease occurring rate, prey capture rate, Kyphosis data, etc.

From playlist MIT 18.650 Statistics for Applications, Fall 2016

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Inverse Transform Sampling : Data Science Concepts

Let's take a look at how to transform one distribution into another in data science! Note: I should have included a lambda in front of the exponential PDF. I mistakenly forgot it. I appreciate the comments which helped me realize this mistake. --- Like, Subscribe, and Hit that Bell to g

From playlist Data Science Concepts

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Solving Exponential Equations with Logarithms (Precalculus - College Algebra 64)

Support: https://www.patreon.com/ProfessorLeonard Professor Leonard Merch: https://professor-leonard.myshopify.com How to use logarithms to solve general exponential equations. Other techniques are also discussed.

From playlist Precalculus - College Algebra/Trigonometry

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Lecture 4 - Perceptron & Generalized Linear Model | Stanford CS229: Machine Learning (Autumn 2018)

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3GnSw3o Anand Avati PhD Candidate and CS229 Head TA To follow along with the course schedule and syllabus, visit: http://cs229.stanford.edu/syllabus-autumn2018.h

From playlist Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018

Related pages

Quantile | Shape parameter | Skewness | Entropy (statistical thermodynamics) | Probability density function | Cumulative distribution function | Inverse problem | Exponential distribution | Network theory | Kaniadakis distribution | Kaniadakis Erlang distribution | Real number | Kaniadakis Gaussian distribution | Probability distribution | Kaniadakis Gamma distribution | Kaniadakis Weibull distribution | Kurtosis | Lorenz curve | Entropy (information theory)