Estimator

Sieve estimator

In statistics, sieve estimators are a class of non-parametric estimators which use progressively more complex models to estimate an unknown high-dimensional function as more data becomes available, with the aim of asymptotically reducing error towards zero as the amount of data increases. This method is generally attributed to Ulf Grenander. (Wikipedia).

Video thumbnail

(ML 11.1) Estimators

Definition of an estimator. Examples of estimators. Definition of an unbiased estimator.

From playlist Machine Learning

Video thumbnail

Inverse normal with Z Table

Determining values of a variable at a particular percentile in a normal distribution

From playlist Unit 2: Normal Distributions

Video thumbnail

Sigmoid functions for population growth and A.I.

Some elaborations on sigmoid functions. https://en.wikipedia.org/wiki/Sigmoid_function https://www.learnopencv.com/understanding-activation-functions-in-deep-learning/ If you have any questions of want to contribute to code or videos, feel free to write me a message on youtube or get my co

From playlist Analysis

Video thumbnail

A03 Eigenvalues

The method of determining eigenvalues as part of calculating the sets of solutions to a linear system of ordinary first-order differential equations.

From playlist A Second Course in Differential Equations

Video thumbnail

What is the definition of the inverse sine function

👉 Learn how to evaluate inverse trigonometric functions. The inverse trigonometric functions are used to obtain theta, the angle which yielded the trigonometric function value. It is usually helpful to use the calculator to calculate the inverse trigonometric functions, especially for non-

From playlist Evaluate Inverse Trigonometric Functions

Video thumbnail

More Standard Deviation and Variance

Further explanations and examples of standard deviation and variance

From playlist Unit 1: Descriptive Statistics

Video thumbnail

Find the value of the trigonometric expression using inverse

👉 Learn how to evaluate an expression with the composition of a function and a function inverse. Just like every other mathematical operation, when given a composition of a trigonometric function and an inverse trigonometric function, you first evaluate the one inside the parenthesis. We

From playlist Evaluate a Composition of Inverse Trigonometric Functions

Video thumbnail

Joint IAS/Princeton University Number Theory Seminar - James Maynard

James Maynard Université de Montréal March 6, 2014 For more videos, visit http://video.ias.edu

From playlist Mathematics

Video thumbnail

Ben Green: Bob Hough's solution of Erdős's covering congruences conjecture

The lecture was held within the framework of the Hausdorff Trimester Program: Harmonic Analysis and Partial Differential Equations and the Workshop: Analytic Number Theory of the Hausdorff Center for Mathematics 16.07.2014 This video was created and edited with kind support from eCampus

From playlist HIM Lectures: Trimester Program "Harmonic Analysis and Partial Differential Equations"

Video thumbnail

CVaR Portfolio Optimization

Get a Free Trial: https://goo.gl/C2Y9A5 Get Pricing Info: https://goo.gl/kDvGHt Ready to Buy: https://goo.gl/vsIeA5 Create and optimize Conditional Value at Risk portfolios. For more videos, visit http://www.mathworks.com/products/finance/examples.html

From playlist Computational Finance

Video thumbnail

Lecture06 Standard Deviation

The dispersion of data by means of the standard deviation.

From playlist Medical Statistics

Video thumbnail

Harald Helfgott: Towards ternary Goldbach's conjecture

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 Number Theory

Video thumbnail

Environment oblivious risk-aware bandit algorithms by Jayakrishnan Nair

PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear

From playlist Advances in Applied Probability 2019

Video thumbnail

John Friedlander - Selberg and the sieve: a positive approach [2008]

The Mathematical Interests of Peter Borwein: "Selberg and the sieve: a positive approach" Date: Friday, May 16, 2008 Time: 09:00 - 10:15 Location: Rm10900 John Friedlander (University of Toronto) Abstract: We survey the contributions of Atle Selberg to Sieve Methods. The talk is intende

From playlist Number Theory

Video thumbnail

Archimedean Theory - Alex Kontorovich

Speaker: Alex Kontorovich (Rutgers/IAS) Title: Archimedean Theorem More videos on http://video.ias.edu

From playlist Mathematics

Video thumbnail

D. Loughran - Sieving rational points on algebraic varieties

Sieves are an important tool in analytic number theory. In a typical sieve problem, one is given a list of p-adic conditions for all primes p, and the challenge is to count the number of integers which satisfy all these p-adic conditions. In this talk we present some versions of sieves for

From playlist Ecole d'été 2017 - Géométrie d'Arakelov et applications diophantiennes

Video thumbnail

Determine Outliers by Hand (Odd)

This video explains how to determine outliers of a data set by hand with an odd number of data values. http://mathispower4u.com

From playlist Statistics: Describing Data

Video thumbnail

The Large Sieve (Lecture 3) by Satadal Ganguly

Program Workshop on Additive Combinatorics ORGANIZERS: S. D. Adhikari and D. S. Ramana DATE: 24 February 2020 to 06 March 2020 VENUE: Madhava Lecture Hall, ICTS Bangalore Additive combinatorics is an active branch of mathematics that interfaces with combinatorics, number theory, ergod

From playlist Workshop on Additive Combinatorics 2020

Related pages

Ulf Grenander | Nonparametric regression | Statistics