Rare event sampling is an umbrella term for a group of computer simulation methods intended to selectively sample 'special' regions of the dynamic space of systems which are unlikely to visit those special regions through brute-force simulation. A familiar example of a rare event in this context would be nucleation of a raindrop from over-saturated water vapour: although raindrops form every day, relative to the length and time scales defined by the motion of water molecules in the vapour phase, the formation of a liquid droplet is extremely rare. Due to the wide use of computer simulation across very different domains, articles on the topic arise from quite disparate sources and it is difficult to make a coherent survey of rare event sampling techniques. Contemporary methods include Transition Path Sampling (TPS), Replica Exchange Transition Interface Sampling (RETIS), (RESTART), (FFS), , (AMS), Stochastic Process Rare Event Sampling (SPRES), Line sampling, Subset simulation, and (WE). The first published rare event technique was by Herman Kahn and Theodore Edward Harris in 1951, who in turn referred to an unpublished technical report by John von Neumann and Stanislaw Ulam. (Wikipedia).
What's the Strangest Stock Footage in Existence?
Most of my videos require stock footage to make. This often means that I'm exposed to some weird content. This is some of the weirdest stock footage I've collected over the years. Enjoy.
From playlist Concerning Everything
What is a Sampling Distribution?
Intro to sampling distributions. What is a sampling distribution? What is the mean of the sampling distribution of the mean? 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.creat
From playlist Probability Distributions
Statistics - Types of sampling
This video will show you the many ways that you could sample. Remember to look for those small differences such as if you are breaking things into groups first. For more videos visit http://www.mysecretmathtutor.com
From playlist Statistics
This lesson introduces the different sample methods when conducting a poll or survey. Site: http://mathispower4u.com
From playlist Introduction to Statistics
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
Sampling (2 of 5: Introduction to Random Samples and Spreadsheets)
More resources available at www.misterwootube.com
From playlist Data Analysis
What is purposive (deliberate) sampling? Types of purposive 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/sam
From playlist Sampling
If you’re studying a large population, you might consider using #sampling in order to get the data you need. We’ll explain how to come up with a proportionate, representative sample. To learn more basic concepts in #statistics, check out the free tutorial on our website: https://edu.gcfglo
From playlist Basic Statistics
Multiple Hypothesis Learning - Data Science
In this video, we learn how a computer learns from data. We also learn about the problem that comes from the computer learning from data: the data we train on becomes less useful for understanding validation. Link to my notes on Introduction to Data Science: https://github.com/knathanielt
From playlist Introduction to Data Science - Foundations
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
In this video, we learn the answer to the question posed in the previous video (link to Multiple Hypothesis Testing video): How do I train a model with the computer and then test it? We then explore some properties of our solution and we talk about some important dos and don’ts. Link to
From playlist Introduction to Data Science - Foundations
Large deviation theory applied to climate dynamics by Freddy Bouchet
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
Estremi, outlier e altre rarità.
Cerchiamo di capire la differenza semplice ma fondamentai tra estremi, eventi rari e outlier. Perché alcuni si rimuovono o correggono, ma gli altri vanno studiati e modellizzati. Evitiamo errori sciocchi, troppo comuni anche tra gente che dovrebbe esserne immune per formazione.
From playlist Sproloqui e commenti (in Italian)
Computational methods for the study of nucleation by Charusita Chakravarty
Conference and School on Nucleation Aggregation and Growth URL: https://www.icts.res.in/program/NAG2010 DATES: Monday 26 July, 2010 - Friday 06 Aug, 2010 VENUE : Jawaharlal Nehru Centre for Advanced Scientific Research, Bengaluru DESCRIPTION: Venue: Jawaharlal Nehru Centre for Advance
From playlist Conference and School on Nucleation Aggregation and Growth
Sampling ADE’s: A Guide for Corpus Creation I Healthcare NLP Summit 2021
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/ Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/ Watch all Healthcare NLP Summit 2021 sessions: https://www.nlpsummit.org/ Electronic health record systems with clin
From playlist Healthcare NLP Summit 2021
New Unsupervised Learning Functions
To learn more about Wolfram Technology Conference, please visit: https://www.wolfram.com/events/technology-conference/ Speaker: Amir Azadi Wolfram developers and colleagues discussed the latest in innovative technologies for cloud computing, interactive deployment, mobile devices, and mo
From playlist Wolfram Technology Conference 2018
Modern Anomaly and Novelty Detection: Exercise - Session 5
Example applications & techniques Signals (ie. audio) Time series generally Fake news Temporal predictions
From playlist Modern Anomaly and Novelty Detection
Statistics Lecture 6.5: The Central Limit Theorem for Statistics. Using z-score, Standard Score
https://www.patreon.com/ProfessorLeonard Statistics Lecture 6.5: The Central Limit Theorem for Statistics. Using z-score, Standard Score
From playlist Statistics (Full Length Videos)
What is quota sampling? Advantages and disadvantages. General steps and an example of how to find a quote sample. 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.
From playlist Sampling