Q-exponential distribution

Introduction to Exponential Distribution Probabilities

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

From playlist Continuous Random Variables

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"??

From playlist Distributions (10 videos)

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

Exponential Distribution Percentiles

This video explains how to determine percentiles of an exponential distribution. http://mathispower4u.com

From playlist Continuous Random Variables

Expected Value of the Exponential Distribution | Exponential Random Variables, Probability Theory

What is the expected value of the exponential distribution and how do we find it? In today's video we will prove the expected value of the exponential distribution using the probability density function and the definition of the expected value for a continuous random variable. It's gonna b

From playlist Probability Theory

Exponential Growth Models

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

From playlist Discrete Math

The Exponential Distribution

From playlist Probability Distributions

The Exponential Distribution

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From playlist Statistics Fundamentals

The Normal Distribution (1 of 3: Introductory definition)

More resources available at www.misterwootube.com

From playlist The Normal Distribution

Joscha Prochno: The large deviations approach to high-dimensional convex bodies II

Given any isotropic convex body in high dimension, it is known that its typical random projections will be approximately standard Gaussian. The universality in this central limit perspective restricts the information that can be retrieved from the lower-dimensional projections. In contrast

From playlist Workshop: High dimensional spatial random systems

Compatibility of Explicit Reciprocity Laws by Shanwen Wang

Program Recent developments around p-adic modular forms (ONLINE) ORGANIZERS: Debargha Banerjee (IISER Pune, India) and Denis Benois (University of Bordeaux, France) DATE: 30 November 2020 to 04 December 2020 VENUE: Online This is a follow up of the conference organized last year arou

From playlist Recent Developments Around P-adic Modular Forms (Online)

Stochastic Resetting - CEB T2 2017 - Evans - 2/3

Martin Evans (Edinburgh) - 10/05/2017 Stochastic Resetting We consider resetting a stochastic process by returning to the initial condition with a fixed rate. Resetting is a simple way of generating a nonequilibrium stationary state in the sense that the process is held away from any eq

From playlist 2017 - T2 - Stochastic Dynamics out of Equilibrium - CEB Trimester

Fin Math L4-2: The two fundamental theorems of asset pricing and the exponential martingale

Welcome to the second part of Lesson 4 of Financial Mathematics. In this video we discuss the two fundamental theorems of asset pricing and we introduce the exponential martingale, an essential tool that we will use as the Radon-Nikodym derivative to move from P to Q in the Cameron-Martin

From playlist Financial Mathematics

Stanford CS229: Machine Learning | Summer 2019 | Lecture 19 - Maximum Entropy and Calibration

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3m4pnSp 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)

Stanford CS330: Deep Multi-task and Meta Learning | 2020 | Lecture 13: A Graphical Model Perspective

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai A Graphical Model Perspective on Multi-Task and Meta-RL To follow along with the course, visit: https://cs330.stanford.edu/ To view all online courses and pro

From playlist Stanford CS330: Deep Multi-task and Meta Learning | Autumn 2020

Extremes and Records by Sanjib Sabhapandit ( Lecture - 1 )

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)

Robert Tichy: Metric Discrepancy Theory

CIRM HYBRID EVENT Recorded during the meeting "​ Diophantine Problems, Determinism and Randomness" the February 04, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathem

From playlist Analysis and its Applications

Extremes and Records by Sanjib Sabhapandit ( Lecture - 3 )

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)

Introduction to Exponential Functions in the Form f(x)=ab^x - Part 1

This video introduces exponential growth and exponential decay functions in the form y=ab^x. http://mathispower4u.com

From playlist Introduction to Exponential Functions

Will Sawin (ETH Zürich) - Trace functions and special functions [2017]

notes for this talk: https://www.msri.org/workshops/801/schedules/21787/documents/2996/assets/27978 Introductory Workshop: Analytic Number Theory February 06, 2017 - February 10, 2017 February 10, 2017 (09:30 AM PST - 10:30 AM PST) Speaker(s): Will Sawin (ETH Zürich) Trace functions a

From playlist Number Theory