Regression analysis

Knockoffs (statistics)

In statistics, the knockoff filter, or simply knockoffs, is a framework for variable selection. It was originally introduced for linear regression by Rina Barber and Emmanuel Candès, and later generalized to other regression models in the random design setting. Knockoffs has found application in many practical areas, notably in genome-wide association studies. (Wikipedia).

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Outtakes

Yes. I make mistakes ... rarely. http://www.flippingphysics.com

From playlist Miscellaneous

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Statistics 5_1 Confidence Intervals

In this lecture explain the meaning of a confidence interval and look at the equation to calculate it.

From playlist Medical Statistics

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Computing z-scores(standard scores) and comparing them

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Computing z-scores(standard scores) and comparing them

From playlist Statistics

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Chiara Sabatti: Knockoff genotypes: value in counterfeit

CIRM VIRTUAL EVENT Recorded during the meeting "Mathematical Methods of Modern Statistics 2" the June 05, 2020 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians

From playlist Virtual Conference

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Emmanuel Candès: “The Knockoffs Framework: New Statistical Tools for Replicable Selections”

Green Family Lecture Series 2018 “The Knockoffs Framework: New Statistical Tools for Replicable Selections” Emmanuel Candès, Stanford University Abstract: A common problem in modern statistical applications is to select, from a large set of candidates, a subset of variables which are imp

From playlist Public Lectures

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Chiara Sabatti: Selective inference in genetics

Abstract: Geneticists have always been aware that, when looking for signal across the entire genome, one has to be very careful to avoid false discoveries. Contemporary studies often involve a very large number of traits, increasing the challenges of "looking every-where". I will discuss n

From playlist Probability and Statistics

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Emmanuel Candès: "Sailing Through Data: Discoveries and Mirages"

Green Family Lecture Series 2018 "Sailing Through Data: Discoveries and Mirages" Emmanuel Candès, Stanford University Abstract: For a long time, science has operated as follows: a scientific theory can only be empirically tested, and only after it has been advanced. Predictions are deduc

From playlist Public Lectures

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Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

https://www.patreon.com/ProfessorLeonard Statistics Lecture 3.3: Finding the Standard Deviation of a Data Set

From playlist Statistics (Full Length Videos)

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In Class Example Difference of Sample Means

A beneficial in class example of difference of sample means

From playlist Unit 7 Probability C: Sampling Distributions & Simulation

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Do Knock-Offs Prove the Value of a Brand? | Idea Channel | PBS Digital Studios

Viewers like you help make PBS (Thank you 😃) . Support your local PBS Member Station here: https://to.pbs.org/donateidea Living in the consumer culture that we do, we've learned that specific brands can carry very different meanings and values. We're willing to pay hundreds or thousands m

From playlist Newest Episodes

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Multigrain: a unified image embedding for classes (...) - Thirion - Workshop 3 - CEB T1 2019

Bertrand Thirion (INRIA) / 03.04.2019 Multigrain: a unified image embedding for classes and instances. Medical imaging involves high-dimensional data, yet their acquisition is obtained for limited samples. Multivariate predictive models have become popular in the last decades to fit som

From playlist 2019 - T1 - The Mathematics of Imaging

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Determine if the Given Value is from a Discrete or Continuous Data Set MyMathlab Statistics

Please Subscribe here, thank you!!! https://goo.gl/JQ8Nys Determine if the Given Value is from a Discrete or Continuous Data Set MyMathlab Statistics

From playlist Statistics

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呼叫魚

好恐佈,咁都食得落口

From playlist Crazy Stuff

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Adam Savage's One Day Builds: Chinatown Stunt Knife (Corridor Crew FX Challenge!)

In this very SPECIAL One Day Build, a collaboration with @CorridorCrew, Adam replicates one of his favorite practical effects: the bloody knife-attack scene from the 1974 film Chinatown. Adam times his entire process, from build through actual filming, while Corridor takes on the same sc

From playlist Adam Savage's One Day Builds

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Back to the Future 2 Nike Air Mag Replicas!

Earlier this summer, we attended The RPF Prop Party and showcase, a gathering of replica prop builders in southern California to share their projects. One of those projects is a pair of Nike Air Mag shoes from Back to the Future Part II, created by RPF member Brad Fyfe. Brad shows us his s

From playlist Toys, Models and Collectibles

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Is Piracy Helping Game of Thrones? | Idea Channel | PBS Digital Studios

Viewers like you help make PBS (Thank you 😃) . Support your local PBS Member Station here: https://to.pbs.org/donateidea Here's an idea: Game Of Thrones owes its success to piracy. If you're like us, you LOVE Game of Thrones. But if you're also like us, you may not, technically, have...

From playlist Newest Episodes

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What is skewness? A detailed explanation (with moments!)

See all my videos at http://www.zstatistics.com/videos/ 0:00 Introduction 4:28 Skewness calculation: Pearson 7:06 Skewness calculation: Moment-based 12:56 Skewness visualisation 14:02 Challenge question For the moment video, see here: http://www.zstatistics.com/descriptive-statistics/ (

From playlist Descriptive Statistics (13 videos)

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Kane Mark VI Dead Reckoning Computer (E6B Flight Computer) Review / HowTo

The Kane Mark VI Dead Reckoning Computer, from the 1950s. This is a knockoff of the very popular E6B flight computer invented by the US military in the 1930s. This is episode 55 of my video series about old calculating devices. Download the instructions manual: http://cstaecker.fairfield

From playlist Calculating Devices Review / HowTos

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The Amazing Test: Bricked 21

The final push to get back to the main build continues.

From playlist The Amazing Test: Bricked

Related pages

Conditional independence | False discovery rate | Regression analysis | Statistics | Algorithm | Feature (machine learning)