Stable distributions | Continuous distributions | Stability (probability) | Power laws | Probability distributions with non-finite variance
In probability theory, the stable count distribution is the conjugate prior of a one-sided stable distribution. This distribution was discovered by Stephen Lihn (Chinese: 藺鴻圖) in his 2017 study of daily distributions of the S&P 500 and the VIX. The stable distribution family is also sometimes referred to as the Lévy alpha-stable distribution, after Paul Lévy, the first mathematician to have studied it. Of the three parameters defining the distribution, the stability parameter is most important. Stable count distributions have . The known analytical case of is related to the VIX distribution (See Section 7 of ). All the moments are finite for the distribution. (Wikipedia).
The Normal Distribution (1 of 3: Introductory definition)
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From playlist The Normal Distribution
Prob & Stats - Markov Chains (13 of 38) How to Find a Stable 2x2 Matrix - Ex. 2
Visit http://ilectureonline.com for more math and science lectures! In this video I will find the stable probability and distribution matrix, example 2, 2x2 matrix. Next video in the Markov Chains series: http://youtu.be/vxdUtjoxWvE
From playlist iLecturesOnline: Probability & Stats 3: Markov Chains & Stochastic Processes
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
Is the Frequency Distribution Normal using a Strict Interpretation?
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From playlist Statistics
Uniform Probability Distribution Examples
Overview and definition of a uniform probability distribution. Worked examples of how to find probabilities.
From playlist Probability Distributions
Prob & Stats - Markov Chains (11 of 38) How to Check for a Stable Distribution Matrix
Visit http://ilectureonline.com for more math and science lectures! In this video I will show how to check for a stable distribution matrix. Next video in the Markov Chains series: http://youtu.be/cSKXAaIhW6w
From playlist iLecturesOnline: Probability & Stats 3: Markov Chains & Stochastic Processes
Normal Distribution: Find Probability Using With Z-scores Using Tables
This lesson explains how to use tables to determine the probability a data value will have a z-score more than or less and a given z-score. It also shows how to determine the probability between two z-scores. Site: http://mathispower4u.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
Conditions Required to Use Normal to Approximate Sample Proportions
Sample proportions, like binomial successes, are discrete. As long as large samples are taken so np and n(1-p) are both at least 10, a continuous normal distribution yields an acceptable approximation of the probabilities associated with a sample proportion distribution.
From playlist Unit 7 Probability C: Sampling Distributions & Simulation
Fractionally Log-Concave and Sector-Stable Polynomials by Nima Anari
Program Advances in Applied Probability II (ONLINE) ORGANIZERS: Vivek S Borkar (IIT Bombay, India), Sandeep Juneja (TIFR Mumbai, India), Kavita Ramanan (Brown University, Rhode Island), Devavrat Shah (MIT, US) and Piyush Srivastava (TIFR Mumbai, India) DATE: 04 January 2021 to 08 Januar
From playlist Advances in Applied Probability II (Online)
Mutation, Selection and Evolutionary Rescue in Simple Phenotype....(Lecture 1) by Guillaume Martin
PROGRAM FIFTH BANGALORE SCHOOL ON POPULATION GENETICS AND EVOLUTION (ONLINE) ORGANIZERS: Deepa Agashe (NCBS, India) and Kavita Jain (JNCASR, India) DATE: 17 January 2022 to 28 January 2022 VENUE: Online No living organism escapes evolutionary change, and evolutionary biology thus conn
From playlist Fifth Bangalore School on Population Genetics and Evolution (ONLINE) 2022
Random Matrix Theory and its Applications by Satya Majumdar ( Lecture 4 )
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)
Anders Södergren: On Epstein’s zeta function and related random functions
Recording during the meeting "Zeta Functions" the December 02, 2019 at the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http:
From playlist Probability and Statistics
Mutation, Selection and Evolutionary Rescue in Simple Phenotype...(Lecture 2) by Guillaume Martin
PROGRAM FIFTH BANGALORE SCHOOL ON POPULATION GENETICS AND EVOLUTION (ONLINE) ORGANIZERS: Deepa Agashe (NCBS, India) and Kavita Jain (JNCASR, India) DATE: 17 January 2022 to 28 January 2022 VENUE: Online No living organism escapes evolutionary change, and evolutionary biology thus conn
From playlist Fifth Bangalore School on Population Genetics and Evolution (ONLINE) 2022
Log-concave polynomials in theory and applications - Cynthia Vinzant
Computer Science/Discrete Mathematics Seminar II Topic: Log-concave polynomials in theory and applications Speaker: Cynthia Vinzant Affiliation: Member, School of Mathematics Date: January 26, 2021 For more video please visit http://video.ias.edu
From playlist Mathematics
Non-abelian Sandpile Model by Subhrangshu Sekhar Manna
DISCUSSION MEETING : STATISTICAL PHYSICS OF COMPLEX SYSTEMS ORGANIZERS : Sumedha (NISER, India), Abhishek Dhar (ICTS-TIFR, India), Satya Majumdar (University of Paris-Saclay, France), R Rajesh (IMSc, India), Sanjib Sabhapandit (RRI, India) and Tridib Sadhu (TIFR, India) DATE : 19 December
From playlist Statistical Physics of Complex Systems - 2022
Viviane Baladi: Transfer operators for Sinai billiards - lecture 3
We will discuss an approach to the statistical properties of two-dimensional dispersive billiards (mostly discrete-time) using transfer operators acting on anisotropic Banach spaces of distributions. The focus of this part will be our recent work with Mark Demers on the measure of maximal
From playlist Analysis and its Applications
Cohomological Automorphic Representations on Unitary Groups - Rahul Dalal
Joint IAS/PU Number Theory Seminar Topic: Applications of the Endoscopic Classification to Statistics of Cohomological Automorphic Representations on Unitary Groups Speaker: Rahul Dalal Affiliation: Johns Hopkins University Date: November 03, 2022 Consider the family of automorphic repre
From playlist Mathematics
Bourbaki - 21/03/15 - 1/3 - Sébastien GOUËZEL
Spectre du flot géodésique en courbure négative [d'après F. Faure et M. Tsuji]
From playlist Bourbaki - 21 mars 2015
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