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01:11:41 30 June - Diego Millan Berdasco - On the… 30 June - Diego Millan Berdasco - On the computation of decomposition numbers of the symmetric group.	30 June - Diego Millan Berdasco - On the computation of decomposition numbers of the symmetric group. The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published. 30 June 2021Diego Millan Berdasco - On the computation of decomposition… repnet decomposition numbers symmetric partition lambda block runner weight partitions algebra composition weights runners blocks models rules abacus core rim mu conjecture From OLLIE Quinn on July 2nd, 2021 0 likes 17 plays 0 Licence Type All rights reserved Language English Date Created June 30th, 2021
18:40 Climate Extremes: Shrijita Bhattacharya Climate Extremes: Shrijita Bhattacharya	Climate Extremes: Shrijita Bhattacharya This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Shrijita Bhattacharya Talk Title: Extremes of the spatial impact of heat waves Abstract:… eva threshold heat temperature observations level extremes waves basis mu parameter series return event span station scale stations reason model wave From Belle Taylor on June 30th, 2021 0 likes 21 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 30th, 2021
18:40 Spatial Extremes: Thomas Opitz Spatial Extremes: Thomas Opitz	Spatial Extremes: Thomas Opitz This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Thomas OpitzTalk Title: Stochastic Geometry of Gaussian Mixture Processes and Spatial… eva eva2021 spatial extremes mathematics process threshold expectations lambda excursion processes function characteristics limit dependence respect instance perimeter maximum expectation summary summaries sets mu survival From Sophia Martin on June 29th, 2021 0 likes 59 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 28th, 2021
03:53 Shrijita Bhattacharya EVA Talk Preview Shrijita Bhattacharya EVA Talk Preview	Shrijita Bhattacharya EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Shrijita Bhattacharya Talk Title: Extremes of the spatial impact of heat waves. Abstract: A region is said… icms eva theory solution model heat waves spatial impact extremes wave return scale level threshold levels covariates series temperatures levers function representation basis likelihood mu form estimates activity From Anna Munro on May 25th, 2021 0 likes 13 plays 0 Licence Type All rights reserved Language English
27:22 Data-Driven Classical Density Functional Theory:… Data-Driven Classical Density Functional Theory: A Case for Physics Informed Learning - Peter Yatsyshin	Data-Driven Classical Density Functional Theory: A Case for Physics Informed Learning - Peter Yatsyshin New directions in classical density functional theory online workshop 3 - 6 May 2021 Peter Yatsyshin (The Alan Turing Institute, London) Data-Driven Classical Density Functional Theory: A Case for… mathematics distribution model energy dft parameters function mu equation training point potential thing truth uncertainty coefficients inference picture sample prediction physics From GILLIAN KERR on May 5th, 2021 0 likes 19 plays 0 Licence Type All rights reserved Language english Date Created May 4th, 2021
42:38 UK-APASI in Mathematical Sciences: Jane White… UK-APASI in Mathematical Sciences: Jane White (Lecture 6)	UK-APASI in Mathematical Sciences: Jane White (Lecture 6) Subtitles will be added soon. Tuesday 23 February 2021 UK-APASI in Mathematical Sciences Jane White - Incorporating behavioural change in models for infection dynamics population cases stigma mu individuals change opinion alpha fraction model thing things risk minus hiv parameters gamma pay point decision From Liam Holligan on February 23rd, 2021 0 likes 32 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created February 23rd, 2021
13:28 PGHC11506 Ancient Egyptian Hieroglyphs: Week 4… PGHC11506 Ancient Egyptian Hieroglyphs: Week 4 Introducing Pronouns	PGHC11506 Ancient Egyptian Hieroglyphs: Week 4 Introducing Pronouns Video by Dr Zsuzsanna Vegh for Ancient Egyptian Hieroglyphs Introduction: Week 4 hca suffix cat pronouns word mother noun words pronoun bird mu f. phrase daughter lot bit nouns week lecture brother centre From Anna Raczynski on January 22nd, 2021 0 likes 35 plays 0 Course Code PGHC11506 Publisher The University of Edinburgh Licence Type All rights reserved The University of Edinburgh
11:34 FDS-S2-01-2-2 Bias and variance FDS-S2-01-2-2 Bias and variance	FDS-S2-01-2-2 Bias and variance We'll introduce the concept of bias and variance of estimators. inf2-fds estimator variance distribution bias sample expectation estimate parameter theta error bar hat bit estimators variable mu samples difference minus sense From David Sterratt on January 14th, 2021 0 likes 238 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021
13:40 PGHC11506 Ancient Egyptian Hieroglyphs: Week 2… PGHC11506 Ancient Egyptian Hieroglyphs: Week 2 Conjunction and Possession	PGHC11506 Ancient Egyptian Hieroglyphs: Week 2 Conjunction and Possession Video by Dr Zsuzsanna Vegh for Ancient Egyptian Hieroglyphs Introduction: Week 2 hca genitive nouns word noun naep lord lectures phrases mouth stroke consonants words b. lecture attention mu stone brackets endings seminar From Anna Raczynski on January 11th, 2021 0 likes 26 plays 0 Course Code PGHC11506 Publisher The University of Edinburgh Licence Type All rights reserved The University of Edinburgh
48:25 Likely instabilities in liquid crystal elastomers… Likely instabilities in liquid crystal elastomers - Angela Mihai	Likely instabilities in liquid crystal elastomers - Angela Mihai Continuum Mechanics Seminar Series Angela Mihai (Cardiff University) Likely instabilities in liquid crystal elastomers Friday 18 December 2020 An automated programme is used to generate the subtitles… mathematics deformation stress material crystal rubber model behaviour load probability mu parameters gradient function direction elastomers director parameter striping elasticity variance From GILLIAN KERR on December 18th, 2020 0 likes 49 plays 0 Licence Type All rights reserved Language english Date Created December 18th, 2020
20:20 Topic 43: Measuring Performance of an Estimator… Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6)	Topic 43: Measuring Performance of an Estimator (PETARS, Chapter 6) In this video, the question of measuring and quantifying the performance of an estimator is discussed. The video focusses on the concepts and definitions of bias and variance of the probability… pgee11164 estimator variance bias function times sample values expectation mu clock hat distribution probability sum n. pdf points parameter estimation summation From James Hopgood on October 22nd, 2020 0 likes 97 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 22nd, 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 96 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created October 12th, 2020
20:48 Waves in Complex Continua (Wavinar) - Marie… Waves in Complex Continua (Wavinar) - Marie Touboul, (LMA, France)	Waves in Complex Continua (Wavinar) - Marie Touboul, (LMA, France) An automated programme is used to generate the subtitles on this talk. You can remove the subtitles by pressing CC on the bottom toolbar. Marie Touboul, (LMA, France) Title: High-frequency… approximation eigenvalue wave eigenvalues diagram dispersion frequency edges field zeros interfaces approximations delta interface cases relation answer equation dispassion mu From Liam Holligan on October 9th, 2020 0 likes 55 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created October 7th, 2020
17:52 Topic 23: Moments and Definitions (PETARS,… Topic 23: Moments and Definitions (PETARS, Chapter 4)	Topic 23: Moments and Definitions (PETARS, Chapter 4) This video builds on Topic 21 by explicitly defining variance in terms of expectations, and the more general definition of moments. The video then considers calculating moments for a couple of… pgee11164 moments moment lambda variable function density probability times pdf variance power mu coefficients form n. integer distribution term deviation formula From James Hopgood on September 8th, 2020 0 likes 104 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 8th, 2020
04:46 Lecture 5 Part 1: Van der Pol Oscillator Lecture 5 Part 1: Van der Pol Oscillator	Lecture 5 Part 1: Van der Pol Oscillator A look at the behaviour of the van der pol oscillator and its solution using the Runge-Kutta integrator differential equations numerical method solution lambda lecture plot function conditions parameters oscillator equation phase mu equations solutions thing acceleration velocity python der van choice From David Ingram on July 10th, 2020 0 likes 462 plays 0 Course Code SCEE08009 Licence Type Creative Commons - Attribution Language English Date Created July 7th, 2020
09:30 Solving Differential Equations in Python: Higher… Solving Differential Equations in Python: Higher order ODEs with solve_ivp	Solving Differential Equations in Python: Higher order ODEs with solve_ivp We look at how to break a second order ode into two couple first order ODEs so that these can be integrated using scipy's solve_ivp function. python solve_ivp ode high order function values derivatives equations times equation differential ivp position derivative thing minus mu oscillator condition 1n plot velocity things From Mark Naylor on April 30th, 2020 0 likes 197 plays 0 Course Code EASC09054 Licence Type Creative Commons - Attribution

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