Monte Carlo methods | Nonlinear filters | Dynamical systems
Iterated filtering algorithms are a tool for maximum likelihood inference on partially observed dynamical systems. Stochastic perturbations to the unknown parameters are used to explore the parameter space. Applying sequential Monte Carlo (the particle filter) to this extended model results in the selection of the parameter values that are more consistent with the data. Appropriately constructed procedures, iterating with successively diminished perturbations, converge to the maximum likelihood estimate. Iterated filtering methods have so far been used most extensively to study infectious disease transmission dynamics. Case studies include cholera, Ebola virus, influenza, malaria, HIV, pertussis, poliovirus and measles. Other areas which have been proposed to be suitable for these methods include ecological dynamics and finance. The perturbations to the parameter space play several different roles. Firstly, they smooth out the likelihood surface, enabling the algorithm to overcome small-scale features of the likelihood during early stages of the global search. Secondly, Monte Carlo variation allows the search to escape from local minima. Thirdly, the iterated filtering update uses the perturbed parameter values to construct an approximation to the derivative of the log likelihood even though this quantity is not typically available in closed form. Fourthly, the parameter perturbations help to overcome numerical difficulties that can arise during sequential Monte Carlo. (Wikipedia).
Introduction to Frequency Selective Filtering
http://AllSignalProcessing.com for free e-book on frequency relationships and more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Separation of signals based on frequency content using lowpass, highpass, bandpass, etc filters. Filter g
From playlist Introduction to Filter Design
From playlist filter (less comfortable)
Comparing Iterative and Recursive Factorial Functions
Comparing iterative and recursive factorial functions
From playlist Computer Science
Data Filtering in Tableau | Filtering Data | Tableau Training For Beginners | Simplilearn
This video is based on Data Filtering in Tableau. Data Filtering in Tableau is a process of fixing or eliminating unwanted or irrelevant data from the source. Most of the time, there are possibilities that the source might include blank spaces or corrupted data. This Data Filtering in Tabl
In this video, you’ll learn more about filtering in Excel 2013. Visit https://www.gcflearnfree.org/excel2013/filtering-data/1/ for our text-based lesson. This video includes information on: • Applying multiple filters • Clearing filters • Using advanced text, date, and number filters We
From playlist Microsoft Excel 2013
In this video, you’ll learn more about filtering data in Excel 2010. Visit https://www.gcflearnfree.org/excel2010/filtering-data/1/ for our text-based lesson. This video includes information on: • Filtering data • Filtering using search • Using advanced text, date, and number filters We
From playlist Microsoft Excel 2010
Nikhil Bansal: On a generalization of iterated and randomized rounding
The lecture was held within the framework of the follow-up workshop to the Hausdorff Trimester Program: Combinatorial Optimization. We describe a new rounding procedure that optimally combines the benefits of both iterated rounding and randomized rounding. A nice feature of this procedure
From playlist Follow-Up-Workshop "Combinatorial Optimization"
MSPTDA 18: DAX Iterators, Table Functions, Grain, Cardinality, Materializing Tables Excel & Power BI
Zipped folder with all files for this video: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/DAX/FilesUsedInVideo18.zip Class web site with files for download: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/DAX/DAX.htm pdf Notes: https://people.highl
From playlist Excel Data Analysis Tricks
http://AllSignalProcessing.com for more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files. Noncausal filtering of stored data to obtain zero-phase response using the time-reversal property of the DFT, as implemented by the "filtfilt" comma
From playlist Introduction to Filter Design
MSPTDA 19: CALCULATE DAX Function & Filter Context & ALLSELECTED & KEEPFILTERS (50 Examples)
All 20 files used in video are available in this zipped folder: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/DAX/FilesUsedInVideo19.zip Download file individually at class web site: https://people.highline.edu/mgirvin/AllClasses/348/MSPTDA/Content/DAX/DAX.htm pfd notes
From playlist Dashboards: How To Build Them for Excel & Power BI Desktop . Playlist of Videos
Map, Filter and Reduce In Python | Python Functions | Advanced Python Programming | Simplilearn
This video on the map, filter and reduce functions in Python will educate you on the very important built-in functions in Python. The Advanced Python Programming tutorial will help you understand the syntax and its uses. You will learn how to use these functions with hands-on Python progra
From playlist Python For Beginners 🔥[2022 Updated]
Python Tutorial: Itertools Module - Iterator Functions for Efficient Looping
In this Python Programming Tutorial, we will be learning about the itertools module. The itertools module is a collection of functions that allows us to work with iterators in an efficient way. Depending on your problem, this can save you a lot of memory and also a lot of work. Let's get s
From playlist Python Tutorials
Iterators and Closures - The Rust Book (part 50) chapter 13
Finished chapter 13 on Iterators and closures! I'm streaming every weekday morning on Twitch at https://www.twitch.tv/brookzerker. Please feel free to stop by and say hi! Links Rust book: https://doc.rust-lang.org/book/second-edition/ My code: https://github.com/BrooksPatton/learning-ru
From playlist Rust Book
Unity - ECS fixed arrays and shared components
(replaced earlier version with corrections/additions in last 5 minutes)
From playlist Unity game engine
Learn to Program 13 Iterables : List Comprehensions : Generators
Code & Transcript : http://goo.gl/D69YnF Best Python Book : http://amzn.to/2aapV6S Support me on Patreon : https://www.patreon.com/derekbanas In part 13 of my Learn to Program tutorial we'll be covering some very powerful Python tools. We'll look at Iterables, List Comprehensions, Gener
From playlist Learn to Program
FilterMap - Improve your Rust skills by making an ECS library
Improve our Rust skills by making an ECS library I've created a new course free on YouTube! In it we will be learning Rust and building an ECS system from scratch. This is my first video tutorial series so I'd love any feedback / suggestions that you have. ECS stands for Entity Component
From playlist Improve Rust skills by making an ECS library
Nature of Code with Rust - Deleting the walkers when they die
We create a Walkers struct to manage the deletion of the dead walkers. Links Code - https://github.com/brooks-builds/nature_of_code_in_rust Book - https://natureofcode.com/ Twitter - https://www.twitter.com/Brooks_Patton -- Watch live at https://www.twitch.tv/brookzerker
From playlist Nature of Code
34th Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series Talk
For more information and past webinars, visit our website: https://sites.google.com/view/oneworldimagine Date: October 20, 2021, 10:00am Eastern Time Zone (US & Canada) / 2:00pm GMT Speaker: Per Christian Hansen, DTU Title: Convergence and Non-Convergence of Algebraic Iterative Reconstr
From playlist Imaging & Inverse Problems (IMAGINE) OneWorld SIAM-IS Virtual Seminar Series