Markov chain Monte Carlo | Non-uniform random numbers
Slice sampling is a type of Markov chain Monte Carlo algorithm for pseudo-random number sampling, i.e. for drawing random samples from a statistical distribution. The method is based on the observation that to sample a random variable one can sample uniformly from the region under the graph of its density function. (Wikipedia).
Frequency Domain Interpretation of Sampling
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Analysis of the effect of sampling a continuous-time signal in the frequency domain through use of the Fourier transform.
From playlist Sampling and Reconstruction of Signals
Quantization and Coding in A/D Conversion
http://AllSignalProcessing.com for more great signal-processing content: ad-free videos, concept/screenshot files, quizzes, MATLAB and data files. Real sampling systems use a limited number of bits to represent the samples of the signal, resulting in quantization of the signal amplitude t
From playlist Sampling and Reconstruction of Signals
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
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
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
Brief Introduction to Snowball 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-statistics
From playlist Sampling
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
What is convenience sampling? Advantages and disadvantages of grab sampling. How to analyze data from convenience sampling. 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.creato
From playlist Sampling
Statistics Lecture 1.5 Part 1: Sampling Techniques
From playlist Statistics Playlist 1
Part 5: Tomography - G. Jensen
From playlist Getting Started in Cryo-EM
HDL Coder Clock Rate Pipelining, Part 2: Optimization - MATLAB and Simulink Video
This is part two of a two-part series on clock rate pipelining. Get a Trial of Simulink: https://goo.gl/ScEHEe Get a Trial of MATLAB: https://goo.gl/C2Y9A5 Learn more about HDL coder: http://goo.gl/bNIR0E This is part two of a two-part series on clock rate pipelining, using a field-orient
From playlist HDL Coder Clock Rate Pipelining - MATLAB and Simulink Video Playlist
Alexander Rolle (6/1/20): Stable and consistent density-based clustering
Title: Stable and consistent density-based clustering Abstract: We present a consistent approach to density-based clustering, which satisfies a stability theorem that holds without any distributional assumptions. We first define a 3-parameter hierarchical clustering of a metric probabilit
From playlist ATMCS/AATRN 2020
Daniel Rueckert: "Deep learning and shape modelling for medical image reconstruction, segmentati..."
Deep Learning and Medical Applications 2020 "Deep learning and shape modelling for medical image reconstruction, segmentation and analysis" Daniel Rueckert, Imperial College London Abstract: This talk will discuss deep learning approaches for the reconstruction, super-resolution and segm
From playlist Deep Learning and Medical Applications 2020
An introduction to persistent homology
Title: An introduction to persistent homology Venue: Webinar for DELTA (Descriptors of Energy Landscape by Topological Analysis Abstract: This talk is an introduction to applied and computational topology, in particular as related to the study of energy landscapes arising in chemistry. W
From playlist Tutorials
Peter Binev - Modeling in Electron Microscopy - IPAM at UCLA
Recorded 13 September 2022. Peter Binev of the University of South Carolina presents "Modeling in Electron Microscopy" at IPAM's Computational Microscopy Tutorials. Learn more online at: http://www.ipam.ucla.edu/programs/workshops/computational-microscopy-tutorials/?tab=schedule
From playlist Tutorials: Computational Microscopy 2022
HEDS | Frontier of Dynamic Materials Using Ultrafast X-ray Radiography
HEDS Seminar Series- Arianna E. Gleason-Holbrook – July 1st, 2021 LLNL-VIDEO-836252
From playlist High Energy Density Science Seminar Series
A Quantum Monte Carlo Study of the Critical Phase in the Square Lattice Quantum...by Sreejit G J
PROGRAM FRUSTRATED METALS AND INSULATORS (HYBRID) ORGANIZERS Federico Becca (University of Trieste, Italy), Subhro Bhattacharjee (ICTS-TIFR, India), Yasir Iqbal (IIT Madras, India), Bella Lake (Helmholtz-Zentrum Berlin für Materialien und Energie, Germany), Yogesh Singh (IISER Mohali, In
From playlist FRUSTRATED METALS AND INSULATORS (HYBRID, 2022)
Data Science Basics: Tabular Data
Live Jupyter walkthrough of all the basic tabular data (data tables) in Pandas DataFrames. Should be enough to get anyone started building Data Analytics workflows in Python. Based on the workflow https://github.com/GeostatsGuy/PythonNumericalDemos/blob/master/PythonDataBasics_DataFrame.
From playlist Data Science Basics in Python
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
In this talk, MinHsuan Peng will look into our newly tuned-up VectorPlot and StreamPlot functions, as well as their list version families and other derivatives, including the volume plot SliceVectorPlot3D. These functions got quite a bit of attention in recent release of Wolfram Language,
From playlist Wolfram Technology Conference 2020