Search for tag: "covariance"

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47:02 Christian Berg A unified view of covariance… Christian Berg A unified view of covariance functions through Gelfand pairs	Christian Berg A unified view of covariance functions through Gelfand pairs Applied matrix positivity Christian Berg A unified view of covariance functions through Gelfand pairs This recording is in the process of being subtitled. Subtitles will be available in due course. applied matrix positivity function space functions theorem sphere fourier kelvin polynomials respect pair unit comma invariant points covariance measure transform algebra point variables From OLLIE Quinn on August 4th, 2021 0 likes 6 plays 0 Licence Type All rights reserved Language English Date Created July 19th, 2021
16:11 Spatial Extremes: Svenja Szemkus Spatial Extremes: Svenja Szemkus	Spatial Extremes: Svenja Szemkus This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Svenja Szemkus Talk Title: Extremal dependence as given by the tail pairwise dependence… eva precipitation temperature vectors kind expansion events analysis estimate thing coefficients space detection heat series money period things covariance matrix vector From Belle Taylor on July 5th, 2021 0 likes 10 plays 0 Publisher Centre for Statistics Licence Type All rights reserved
16:10 Graphical Models: Frank Röttger Graphical Models: Frank Röttger	Graphical Models: Frank Röttger This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Frank Röttger Talk Title: Total positivity in graphical extremes Abstract: Engelke… eva matrix positivity times distributions graph correlation precision sigma models distribution gaussians covariance independence sparsity tree condition entries examples entropy inverse From Belle Taylor on July 3rd, 2021 0 likes 25 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 5th, 2021
20:04 Extremes of Stochastic Processes: Johannes Heiny Extremes of Stochastic Processes: Johannes Heiny	Extremes of Stochastic Processes: Johannes Heiny This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Johannes Heiny Talk Title: Extremes of interpoint distances of high-dimensional random… eva points distribution maximum correlation sample matrix covariance function point vectors distances moment sequence range entries norm variables coefficient sum result From Belle Taylor on July 3rd, 2021 0 likes 13 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 5th, 2021
01:12:40 25 June - David Dunson (Duke University, North… 25 June - David Dunson (Duke University, North Carolina, USA) - DIFFUSION BASED GAUSSIAN PROCESSES ON RESTRICTED DOMAINS	25 June - David Dunson (Duke University, North Carolina, USA) - DIFFUSION BASED GAUSSIAN PROCESSES ON RESTRICTED DOMAINS 25 June 2021 David Dunson (Duke University, North Carolina, USA) - DIFFUSION BASED GAUSSIAN PROCESSES ON RESTRICTED DOMAINS This talk describes recent joint work with Hau-Tieng Wu and Nan Wu. In… statistics research data science covariance points kernel graph manifold sort heat laplacian function epsilon kind gp things lot paper process distance diffusion space water From OLLIE Quinn on July 2nd, 2021 0 likes 5 plays 0 Licence Type All rights reserved Language English Date Created July 25th, 2021
24:14 Multivariate Extremes : John Einmahl Multivariate Extremes : John Einmahl	Multivariate Extremes : John Einmahl This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: John Einmahl Talk Title: Empirical Tail Copulas for Functional Data Abstract: For… eva tail capital process coppola space points t. paper derivatives condition dimension function functions respect coordinates d. examples covariance cupula script From Belle Taylor on July 1st, 2021 0 likes 17 plays 0 Publisher Centre for Statistics Licence Type All rights reserved
31:19 IS Machine learning: Patrice Bertail IS Machine learning: Patrice Bertail	IS Machine learning: Patrice Bertail This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Patrice Bertail Talk Title: Concentration inequalities for NA random variables,… eva sampling variance survey blocks condition idea epsilon sample poisson inequality covariance paper function probability variable balance issue sum size association From Belle Taylor on June 30th, 2021 0 likes 19 plays 0 Publisher Centre for Statistics Licence Type All rights reserved
20:12 Extremes of stochastic processes: Tomasz Rolski Extremes of stochastic processes: Tomasz Rolski	Extremes of stochastic processes: Tomasz Rolski This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Tomasz Rolski Talk Title: Multivariate extremes for correlated Brownian motions with… eva problem motion function alpha asymptotics matrix barrier row theory covariance adjustment distribution component moment brownian extremes paper coefficient correlation solution From Belle Taylor on June 29th, 2021 0 likes 64 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
02:41 Frank Rottger EVA Talk Preview Frank Rottger EVA Talk Preview	Frank Rottger EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Frank Rottger Talk Title: Total positivity in graphical extremes Abstract:… eva icms theory solution multivariate total positivity graphical extremes model matrix condition graph entries covariance inverse inequality attention sparsity passport amqp gramme pseudo beds dataset fat body diagram From Anna Munro on May 25th, 2021 0 likes 12 plays 0 Licence Type All rights reserved Language English
03:30 Svenja Szemkus EVA Talk Preview Svenja Szemkus EVA Talk Preview	Svenja Szemkus EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Svenja Szemkus Talk Title: Extremal dependence as given by the tail pairwise dependence matrix in… theory solution eva icms model tail extremal dependence pairwise matrix temperature data extreme covariance events precipitation talk thing statistic change climate weather description feedback discussions correlation focus units From Anna Munro on May 25th, 2021 0 likes 21 plays 0 Licence Type All rights reserved Language English
03:16 Igor Rodionov EVA Talk Preview Igor Rodionov EVA Talk Preview	Igor Rodionov EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Igor Rodionov Talk Title: Precise large deviations for m-dependent subexponential sequences Abstract: In… icms eva solution theory precise large deviations m-dependent subexpotential sequences data result distribution seconds function probability sequence station division condition matrices covariance sample talk entries limit deviation polar f. session From Anna Munro on May 24th, 2021 0 likes 14 plays 0 Licence Type All rights reserved Language English
28:15 Fluctuation profiles for fluids and… Fluctuation profiles for fluids and Noether's Therorem in Statistical Mechanics - Matthias Schmidt	Fluctuation profiles for fluids and Noether's Therorem in Statistical Mechanics - Matthias Schmidt New directions in classical density functional theory online workshop 3 - 6 May 2021 Matthias Schmidt ((Universität Bayreuth) Fluctuation profiles for fluids and Noether's Therorem in… mathematics function thing profile density equilibrium things bit rule compressibility times correlation covariance rules force row epsilon question rho functions volume From GILLIAN KERR on May 5th, 2021 0 likes 21 plays 0 Licence Type All rights reserved Language english Date Created May 4th, 2021
28:10 Victor Elvira: Graph discovery and Bayesian… Victor Elvira: Graph discovery and Bayesian filtering in state-space models	Victor Elvira: Graph discovery and Bayesian filtering in state-space models This talk has captions. You can remove these by pressing CC on the video toolbar. Modeling and inference in multivariate time series is central in statistics, signal processing, and machine… step function matrix distribution observations model philtre kalman parameters observation covariance problem dimensions linear t. process notation filtering graph perspective From Belle Taylor on April 29th, 2021 0 likes 30 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created April 29th, 2021
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 53 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 21 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 22 plays 0 Licence Type All rights reserved Language English Date Created February 5th, 2021

Search for tag: "covariance"

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