Determining values of a variable at a particular percentile in a normal distribution
From playlist Unit 2: Normal Distributions
Mean of Grouped Frequency Tables
"Calculate mean from grouped frequency tables."
From playlist Data Handling: Frequency Tables
Discrete-Time Dynamical Systems
This video shows how discrete-time dynamical systems may be induced from continuous-time systems. https://www.eigensteve.com/
From playlist Data-Driven Dynamical Systems
Identifying, symmetric, skewed, uniform, and bell-shaped distributions
From playlist Unit 1: Descriptive Statistics
The Normal Distribution (1 of 3: Introductory definition)
More resources available at www.misterwootube.com
From playlist The Normal Distribution
Probability Distribution Functions and Cumulative Distribution Functions
In this video we discuss the concept of probability distributions. These commonly take one of two forms, either the probability distribution function, f(x), or the cumulative distribution function, F(x). We examine both discrete and continuous versions of both functions and illustrate th
From playlist Probability
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
Array Variables - Introduction
This video introduces array variables. It defines an array variable as a named group of contiguous memory locations, each element of which can be accessed by means of an index number. It explains the difference between one dimensional and two dimensional arrays, and covers how these can
From playlist Data Structures
Seminar on Applied Geometry and Algebra (SIAM SAGA): Jonathan Hauenstein
Title: Some applications of homotopy continuation in science and engineering Date: Tuesday, November 16 at 11:00am Eastern Speaker: Jonathan Hauenstein, University of Notre Dame Abstract: Homotopy continuation is a foundational computational approach in numerical algebraic geometry which
From playlist Seminar on Applied Geometry and Algebra (SIAM SAGA)
Entanglement Dynamics of Multiparametric Random States: A Single Parametric... by Pragya Shukla
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
Data Science Applications - Environment/Ecology: Professor Ruth King, University of Edinburgh
Bio Ruth King is the Thomas Bayes Chair of Statistics at the University of Edinburgh. She was awarded her PhD in 2001 from the University of Bristol. She then held positions at the Universities of Cambridge (PDRA; 2001-3) and St Andrews (lecturer 2003-10; reader 2010-15) before taking up
From playlist Data science classes
Integrating Inference with Stochastic Process Algebra Models - Jane Hillston, Edinburgh
ProPPA is a probabilistic programming language for continuous-time dynamical systems, developed as an extension of the stochastic process algebra Bio-PEPA. It offers a high-level syntax for describing systems of interacting components with stochastic behaviours where some of the parameters
From playlist Logic and learning workshop
Leonid Petrov: "Parameter Permutation Symmetry in Particle Systems and Random Polymers"
Asymptotic Algebraic Combinatorics 2020 "Parameter Permutation Symmetry in Particle Systems and Random Polymers" Leonid Petrov - University of Virginia Abstract: Many integrable stochastic particle systems in one space dimension (like TASEP) remain integrable when we equip each particle
From playlist Asymptotic Algebraic Combinatorics 2020
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
Lewis Marsh (8/3/20): Geometric and topological data analysis of enzyme kinetics
Title: Geometric and topological data analysis of enzyme kinetics Abstract: In this talk, we will mathematically study a differential equation model and generated data describing molecular dynamics of Extracellular Signal Regulated Kinase (ERK), which is known to be linked to human cancer
From playlist ATMCS/AATRN 2020
DDPS | Data-driven information geometry approach to stochastic model reduction
Description: Reduced-order models are often obtained by projection onto a subspace; standard least squares in linear spaces is a familiar technique that can also be applied to stochastic phenomena as exemplified by polynomial chaos expansions. Optimal approximants are obtained by minimizin
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
First Passage Time in Stochastic Gene Regulation by Anandamohan Ghosh
PROGRAM STATISTICAL BIOLOGICAL PHYSICS: FROM SINGLE MOLECULE TO CELL ORGANIZERS: Debashish Chowdhury (IIT-Kanpur, India), Ambarish Kunwar (IIT-Bombay, India) and Prabal K Maiti (IISc, India) DATE: 11 October 2022 to 22 October 2022 VENUE: Ramanujan Lecture Hall 'Fluctuation-and-noise' a
From playlist STATISTICAL BIOLOGICAL PHYSICS: FROM SINGLE MOLECULE TO CELL (2022)
(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
Looking into the Future of High-Energy Particle Physics (Lecture 2) by Gian Giudice
INFOSYS - ICTS CHANDRASEKHAR LECTURES LOOKING INTO THE FUTURE OF HIGH-ENERGY PARTICLE PHYSICS SPEAKER: Gian Giudice (CERN, Switzerland) VENUE: Ramanujan Lecture Hall, ICTS Campus Date & Time: Lecture 1: Monday, 21 November 2022 at 09:45 to 10:45 Lecture 2:
From playlist Infosys-ICTS Chandrasekhar Lectures