Mathematical modeling | Estimation methods | Statistical distance
Minimum-distance estimation (MDE) is a conceptual method for fitting a statistical model to data, usually the empirical distribution. Often-used estimators such as ordinary least squares can be thought of as special cases of minimum-distance estimation. While consistent and asymptotically normal, minimum-distance estimators are generally not statistically efficient when compared to maximum likelihood estimators, because they omit the Jacobian usually present in the likelihood function. This, however, substantially reduces the computational complexity of the optimization problem. (Wikipedia).
In this video I briefly explain what minimum distance is and why it is helpful. Then I explain how to find it "the long way" and the "shortcut." Also during the process, I explain what Hamming Weight and Distance are and how to find them. Codewords from Generating Matrix Video: https://w
From playlist Cryptography and Coding Theory
Maximum and Minimum Values (Closed interval method)
A review of techniques for finding local and absolute extremes, including an application of the closed interval method
From playlist 241Fall13Ex3
Rates (1 of 3: Reviewing errors in measurement; max and minimum possible values)
More resources available at www.misterwootube.com
From playlist Working with Rates and Ratios
This video show how to use the distance formula to determine the distance between two points. It also shows how it is derived from the Pythagorean theorem. http://mathispower4u.yolasite.com/
From playlist Using the Distance Formula / Midpoint Formula
Using Bounds to Calculate Further Bounds
"Use lower and upper bounds within calculations to calculate a further lower/upper bound."
From playlist Number: Rounding & Estimation
Example: Determine the Distance Between Two Points
This video shows an example of determining the length of a segment on the coordinate plane by using the distance formula. Complete Video List: http://www.mathispower4u.yolasite.com or http://www.mathispower4u.wordpress.com
From playlist Using the Distance Formula / Midpoint Formula
2 2 Computing Minimum Edit Distance 5 54
From playlist CS124 - Full Course
Pre-Calculus - Identify the local maximum and minimum of a function
This video shows how to find the local maximum and minimum points when looking at the graph of a function. Remember that these are the maximum and minimum on some interval of the entire function. More specific techniques are covered for other functions like quadratics in later videos. F
From playlist Pre-Calculus
Max/Min Distance Problems (2 of 4: Discussing Restrictions on Max/Min Distance Problems )
More resources available at www.misterwootube.com
From playlist Applications of Differentiation
This is a brief introduction to how ray marching works and how it is used to generate amazing real-time 3D fractals. I uploaded the source code so you can give it a try yourself! Source code: https://github.com/HackerPoet/PySpace Ray marching tutorial: http://blog.hvidtfeldts.net/index.
From playlist Fractals & Math
MIT 6.006 Introduction to Algorithms, Spring 2020 Instructor: Jason Ku View the complete course: https://ocw.mit.edu/6-006S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY This lecture discusses weighted graphs and weighted paths. This prepares
From playlist MIT 6.006 Introduction to Algorithms, Spring 2020
Lec 24 | MIT 18.086 Mathematical Methods for Engineers II
Error Estimates / Projections View the complete course at: http://ocw.mit.edu/18-086S06 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 18.086 Mathematical Methods for Engineers II, Spring '06
Estimation, Distances, and Smoothness (3Blue1Brown Summer of Math Exposition)
To make estimates in new situations, we typically draw upon similar experiences from memory. In this video, I try to explain the mathematics behind such reasoning. This is a submission to the 3blue1brown summer of math exposition, 2021. https://www.3blue1brown.com/blog/some1 Introduction
From playlist Summer of Math Exposition Youtube Videos
Charles Bordenave: Compter et optimiser avec les graphes unimodulaires - 1
Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers and keywords to watch the parts of your choice in the video - Videos enriched with abstracts, b
From playlist Probability and Statistics
Lec 5 | MIT 6.451 Principles of Digital Communication II
Introduction to Binary Block Codes View the complete course: http://ocw.mit.edu/6-451S05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.451 Principles of Digital Communication II
Lec 17 | MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503), Fall 2005
Lecture 17: Shortest Paths I: Properties, Dijkstra's Algorithm, Breadth-first Search View the complete course at: http://ocw.mit.edu/6-046JF05 License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
From playlist MIT 6.046J / 18.410J Introduction to Algorithms (SMA 5503),
MIT 6.006 Introduction to Algorithms, Spring 2020 Instructor: Jason Ku View the complete course: https://ocw.mit.edu/6-006S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63EdVPNLG3ToM6LaEUuStEY This class discusses a fourth weighted single-source shortest path algor
From playlist MIT 6.006 Introduction to Algorithms, Spring 2020
Lecture 14 - Support Vector Machines
Support Vector Machines - One of the most successful learning algorithms; getting a complex model at the price of a simple one. Lecture 14 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple
From playlist Machine Learning Course - CS 156
Véronique Maume-Deschamps: On the estimation of conditional quantiles I
VIRTUAL LECTURE Recording during the meeting "Quasi-Monte Carlo Methods and Applications" Find this video and other talks given by worldwide mathematicians on CIRM's Audiovisual Mathematics Library: http://library.cirm-math.fr. And discover all its functionalities: - Chapter markers an
From playlist Virtual Conference