Search for tag: "covariance"

28 Media

55:17 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andrew Stuart	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andrew Stuart One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andrew Stuart (Caltech) Inverse Problems Without Adjoints:Ensemble Approaches Automatic subtitles have been added to this… icms stochastic numerics inverse problems gradient flow linear equation ensemble method methods gradient problem model parameter planck inverse problems covariance particles talk particle flow fact space rho From DIANE HORBERRY on March 5th, 2021 0 likes 35 plays 0 Publisher Diane Hoberry Licence Type All rights reserved Language English Date Created March 3rd, 2021
56:44 Sara Wade & Karla Monterrubio-Gomez… Sara Wade & Karla Monterrubio-Gomez (Edinburgh): On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach.	Sara Wade & Karla Monterrubio-Gomez (Edinburgh): On MCMC for variationally sparse Gaussian processes: A pseudo-marginal approach. The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published. 26 February 2021Sara Wade & Karla Monterrubio-Gomez (Edinburgh): On MCMC… statistics research function likelihood estimator scheme points covariance parameters process approximation hyperparameters matrix poisson block point quadrature log locations framework approach pseudo From OLLIE Quinn on March 1st, 2021 0 likes 12 plays 0 Licence Type All rights reserved Language English Date Created March 26th, 2021
46:32 Mihaela Paun (Glasgow): Assessing model mismatch… Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation	Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulation 5 February 2021Mihaela Paun (Glasgow): Assessing model mismatch and model selection in a Bayesian uncertainty quantification analysis of a fluid-dynamics model of pulmonary blood circulationThere… research statistics model parameters mismatch blood uncertainty errors pressure stiffness parameter vessel vessels flow space values covariance prediction artery matrix function patients From OLLIE Quinn on February 11th, 2021 0 likes 13 plays 0 Licence Type All rights reserved Language English Date Created February 5th, 2021
20:14 Topic 75: Difference Equation Analysis of… Topic 75: Difference Equation Analysis of Input-Output Time-Domain Statistics (PETARS, Chapter 10)	Topic 75: Difference Equation Analysis of Input-Output Time-Domain Statistics (PETARS, Chapter 10) This topic considers extending previous topics on calculating the input-output statistics of a linear time-invariant (LTI) system in response to a wide-sense stationary (WSS) process at the input,… pgee11164 difference input output equation autocorrelation expression equations covariance solution auto alpha minus topic correlation convolution response times impulse statistics process From James Hopgood on November 30th, 2020 0 likes 36 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 30th, 2020
32:23 Topic 72: Time-Domain Analysis of Response to… Topic 72: Time-Domain Analysis of Response to Random Signals using the System Impulse Response (PETARS, Chapter 10)	Topic 72: Time-Domain Analysis of Response to Random Signals using the System Impulse Response (PETARS, Chapter 10) This video looks at the method for calculating the output statistics for a linear time-invariant (LTI) system in response to a wide-sense stationary (WSS) input using a time-domain method given the… pgee11164 output input response impulse autocorrelation sequence covariance function convolution cross correlation summation expression minus auto statistics linear decay process result From James Hopgood on November 26th, 2020 0 likes 55 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 26th, 2020
31:39 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Sonja Cox (University of Amsterdam)	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… icms norm field operator element beta convergence power covariance minus kappa alpha correlation function approximation proof rate error supremum fields method From DIANE HORBERRY on November 18th, 2020 0 likes 77 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 18th, 2020
19:22 Topic 66: Joint Signal Statistics and Correlation… Topic 66: Joint Signal Statistics and Correlation Matrices (PETARS, Chapter 8)	Topic 66: Joint Signal Statistics and Correlation Matrices (PETARS, Chapter 8) This video starts to wrap up the Chapter on Stochastic processes by looking at joint signal statistics, such as cross-correlation and cross-covariance, uncorrelated pairs of random processes, and… pgee11164 correlation processes cross signals idea process matrix signal vector covariance function statistics source times values correlations topic structure separation properties From James Hopgood on November 16th, 2020 0 likes 56 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 15th, 2020
26:59 Topic 65: Time Averages and Ergodicity (PETARS,… Topic 65: Time Averages and Ergodicity (PETARS, Chapter 8)	Topic 65: Time Averages and Ergodicity (PETARS, Chapter 8) This Topic introduces the notion of estimating statistical averages from a single realisation of a stochastic process. This concept is most easily developed for estimating first and second moments… pgee11164 average process ensemble variance ergodicity realisation infinity sense minus covariance function realisations chapter processes term samples sequence estimator sample estimation From James Hopgood on November 14th, 2020 0 likes 78 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created November 12th, 2020
55:46 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Marta Sanz-Sole (Barcelona)	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Marta Sanz-Sole (Barcelona) Automated subtitles will appear on this video. Click "cc" to turn subtitles off. icms coefficients solution equation sigma condition space bar examples increments hypothesis measure power wave result conditions dimension hypotheses delta interval covariance From DIANE HORBERRY on November 5th, 2020 0 likes 87 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created November 4th, 2020
24:39 Topic 47: Cramer-Rao Lower Bound for Parameter… Topic 47: Cramer-Rao Lower Bound for Parameter Vectors (PETARS, Chapter 6)	Topic 47: Cramer-Rao Lower Bound for Parameter Vectors (PETARS, Chapter 6) In this video, the concepts in estimation theory introduced so far for scalar random variables are extended to deal with estimating multiple parameters, for example the mean and variance of a… pgee11164 matrix variance vector estimator parameters likelihood log function respect hat kramer covariance values form problem times parameter element expressions result From James Hopgood on October 26th, 2020 0 likes 78 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 25th, 2020
20:21 Topic 38: The Multivariate Guassian Distribution… Topic 38: The Multivariate Guassian Distribution (PETARS, Chapter 5)	Topic 38: The Multivariate Guassian Distribution (PETARS, Chapter 5) This video reviews the probability density function (pdf) for the multivariate Gaussian random variable. This pdf is then derived by developing the isotropic multivariate Gaussian, and then… pgee11164 density probability gaussian function vector transformation covariance multivariate linear matrix times distribution pdf transpose form variables transformations isotropic variance correlation From James Hopgood on October 15th, 2020 0 likes 101 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 15th, 2020
17:13 Topic 36: Further Statistical Descriptors… Topic 36: Further Statistical Descriptors (PETARS, Chapter 5)	Topic 36: Further Statistical Descriptors (PETARS, Chapter 5) This video builds on the Statistical Descriptors introduced in Topic 35 by discussing the covariance matrix, the correlation coefficient, and then the cross-correlation and cross-covariance… pgee11164 correlation covariance matrix autocorrelation term variables vector times vectors means elements similarity matrices cross output coefficient input transpose mu expectation From James Hopgood on October 14th, 2020 0 likes 95 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 12th, 2020
08:40 USMR lecture 5 part 1 USMR lecture 5 part 1	USMR lecture 5 part 1 correlation, part 1 usmr psychology ppls statistics rstats covariance observations differences variables numbers correlation miles side hand deviation chart bar means reaction alcohol blood bit sum population calculation From Martin Corley on October 9th, 2020 0 likes 154 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created October 9th, 2020
01:07:16 Research and teaching in statistical and data… Research and teaching in statistical and data sciences seminars - Eleni Matechou (University of Kent)	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… research statistics data sciences species dna probability stage idea presence pcr sample error model covariance samples observation covariates sites lots factor kind thing water From OLLIE Quinn on October 2nd, 2020 0 likes 21 plays 0 Licence Type All rights reserved Language English Date Created October 2nd, 2020
02:55 Augmentation Augmentation	Augmentation Students and staff talk about the concept of automation in Learning and Teaching as part of the Near Future Teaching Project. The Near Future Teaching project is about working together to co-design… applications simulator develop information science too much tech oer discovery cc by caption complete philosophy disambiguation simulators literature university learning teaching developmental psychology notes learn user interface techniques student researches alternate monitor class multimedia communication reality challenges educational psychology ltw manipulate accessibility nft difference pedagogy students difficulties near future teacher digital education open educational resource thing internships transcript learning and teaching supplementary people near future teaching trajectories fantasies virtual effects technology cognitive science ontology anesthesia performance things exhibition problems dog pressure size scan touch covariance screen cow watchful notion eggs exhibitions works From Michael Gallagher on March 21st, 2018 0 likes 332 plays 0 Licence Type Creative Commons - Attribution Date Created April 17th, 2018
01:51 When principal components fail When principal components fail	When principal components fail When principal components fail iaml pca attribute linear thing variance covariance dimension projection component matrix sheet subspace subspaces mind variances deviation distances fact gazillion attributes From Nigel Goddard on September 25th, 2016 1 likes 1,609 plays 0 Licence Type Creative Commons - Attribution

Search for tag: "covariance"

the university of edinburgh