Statistics Lesson #1: Sampling
This video is for my College Algebra and Statistics students (and anyone else who may find it helpful). It includes defining and looking at examples of five sampling methods: simple random sampling, convenience sampling, systematic sampling, stratified sampling, cluster sampling. We also l
From playlist Statistics
STRATIFIED, SYSTEMATIC, and CLUSTER Random Sampling (12-4)
To create a Stratified Random Sample, divide the population into smaller subgroups called strata, then use random sampling within each stratum. Strata are formed based on members’ shared (qualitative) characteristics or attributes. Stratification can be proportionate to the population size
From playlist Sampling Distributions in Statistics (WK 12 - QBA 237)
Basic stochastic simulation b: Stochastic simulation algorithm
(C) 2012-2013 David Liao (lookatphysics.com) CC-BY-SA Specify system Determine duration until next event Exponentially distributed waiting times Determine what kind of reaction next event will be For more information, please search the internet for "stochastic simulation algorithm" or "kin
From playlist Probability, statistics, and stochastic processes
Stratified random sampling (1)
Powered by https://www.numerise.com/ Stratified random sampling (1)
From playlist Collecting data
Sampling (4 of 5: Introductory Examples of Stratified Random Sampling)
More resources available at www.misterwootube.com
From playlist Data Analysis
Introduction to the paper https://arxiv.org/abs/2002.06707
From playlist Research
What is cluster sampling? Comparison to stratified sampling. Advantages and disadvantages. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with more than 20 different techniques: https://prof-essa.creator-spring.com/listing/sampling-in
From playlist Sampling
What is "Probability sampling?" A brief overview. Four different types, their advantages and disadvantages: cluster, SRS (Simple Random Sampling), Systematic and Stratified sampling. Check out my e-book, Sampling in Statistics, which covers everything you need to know to find samples with
From playlist Sampling
Research Methods 1: Sampling Techniques
In this video, I discuss several types of sampling: random sampling, stratified random sampling, cluster sampling, systematic sampling, and convenience sampling. The figures presented are adopted/adapted from: https://www.pngkey.com/detail/u2y3q8q8e6o0u2t4_population-and-sample-graphic-de
From playlist Research Methods
Steve Fitzgerald - Path integral formulation of stochastic processes... - IPAM at UCLA
Recorded 30 March 2023. Steve Fitzgerald of the University of Leeds presents "Path integral formulation of stochastic processes: non-equilibrium reaction pathways, hyperdynamics, and enhanced sampling" at IPAM's Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale
From playlist 2023 Increasing the Length, Time, and Accuracy of Materials Modeling Using Exascale Computing
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
Tony Lelièvre: How to compute transition times?
Recorded during the meeting "Data Assimilation and Model Reduction in High Dimensional Problems" the July 28, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent A kinetic description of a plasma in external and self-consisten
From playlist Probability and Statistics
Queues and large deviations in stochastic models of gene expression by Rahul Kulkarni
Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst
From playlist Large deviation theory in statistical physics: Recent advances and future challenges
Reverse mathematical methods for reconstructing molecular dynamics... - 18 October 2018
http://crm.sns.it/event/425/ Reverse mathematical methods for reconstructing molecular dynamics in single cell The latest developments in sequencing and high resolution imaging have led to a recent surge of datasets, requiring new mathematical and statistical methods to analyze the biolog
From playlist Centro di Ricerca Matematica Ennio De Giorgi
The Power of Sampling by Peter W. Glynn
Infosys-ICTS Turing Lectures The Power of Sampling Speaker: Peter W. Glynn (Stanford University, USA) Date: 14 August 2019, 16:00 to 17:00 Venue: Ramanujan Lecture Hall, ICTS Bangalore Sampling-based methods arise in many statistical, computational, and engineering settings. In engine
From playlist Infosys-ICTS Turing Lectures
Alison Etheridge: Spatial population models (3/4)
Abstract: Mathematical models play a fundamental role in theoretical population genetics and, in turn, population genetics provides a wealth of mathematical challenges. In these lectures, we focus on some of the models which arise when we try to model the interplay between the forces of ev
From playlist Summer School on Stochastic modelling in the life sciences
Hierarchical Modeling of High-dimensional Human Immuno-phenotypic Diversity by Saumyadipta Pyne
DISCUSSION MEETING : MATHEMATICAL AND STATISTICAL EXPLORATIONS IN DISEASE MODELLING AND PUBLIC HEALTH ORGANIZERS : Nagasuma Chandra, Martin Lopez-Garcia, Carmen Molina-Paris and Saumyadipta Pyne DATE & TIME : 01 July 2019 to 11 July 2019 VENUE : Madhava Lecture Hall, ICTS, Bangalore
From playlist Mathematical and statistical explorations in disease modelling and public health
Large deviations of Markov processes (Part 2) by Hugo Touchette
Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst
From playlist Large deviation theory in statistical physics: Recent advances and future challenges
How to Choose a SAMPLING Method (12-7)
When possible, use probability sampling methods, such as simple random, stratified, cluster, or systematic sampling.
From playlist Sampling Distributions in Statistics (WK 12 - QBA 237)
Large deviations and quantum non- equilibrium by Juan P Garrahan
Large deviation theory in statistical physics: Recent advances and future challenges DATE: 14 August 2017 to 13 October 2017 VENUE: Madhava Lecture Hall, ICTS, Bengaluru Large deviation theory made its way into statistical physics as a mathematical framework for studying equilibrium syst
From playlist Large deviation theory in statistical physics: Recent advances and future challenges