Search for tag: "covariance"

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Sonja Cox (University of Amsterdam)

Automated subtitles will appear on this video. Click "cc" to turn subtitles off. One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Sonja Cox (University of…

From  Liam Holligan on November 18th, 2020 0 likes 39 plays 0  

One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Marta Sanz-Sole (Barcelona)

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From  Liam Holligan on November 5th, 2020 0 likes 44 plays 0  

USMR lecture 5 part 1

correlation, part 1

From  Martin Corley on October 9th, 2020 0 likes 149 plays 0  

Research and teaching in statistical and data sciences seminars - Eleni Matechou (University of Kent)

Eleni Matechou (University of Kent) Title: Environmental DNA as a monitoring tool at a single and multi-species level Abstract: Environmental DNA (eDNA) is a survey tool with rapidly expanding…

From  OLLIE Quinn on October 2nd, 2020 0 likes 18 plays 0  

When principal components fail

When principal components fail

From  Nigel Goddard on September 25th, 2016 1 likes 1,528 plays 0  

Principal component analysis for the impatient

Principal component analysis for the impatient

From  Nigel Goddard on September 25th, 2016 1 likes 1,652 plays 0  

Eigenvalue = variance along eigenvector

Eigenvalue = variance along eigenvector

From  Nigel Goddard on September 25th, 2016 1 likes 1,666 plays 0  

Eigenvector = direction of maximum variance

Eigenvector = direction of maximum variance

From  Nigel Goddard on September 25th, 2016 2 likes 2,077 plays 0  

Finding eigenvalues and eigenvectors

Finding eigenvalues and eigenvectors

From  Nigel Goddard on September 25th, 2016 1 likes 1,986 plays 0  

Principal components = eigenvectors

Principal components = eigenvectors

From  Nigel Goddard on September 25th, 2016 1 likes 2,251 plays 0  

Summary

Summary

From  Nigel Goddard on September 25th, 2016 0 likes 1,554 plays 0