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17:06 Causal Inference: Johannes Buck Causal Inference: Johannes Buck	Causal Inference: Johannes Buck This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Johannes Buck Talk Title: Properties and Consistency of QTree in Max-Linear Models Under… eva star matrix river score tree edge distribution pair root model network vertices linear alpha equals kleene innovations tail values observations From Belle Taylor on July 2nd, 2021 0 likes 7 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 2nd, 2021
21:19 Multivariate Extremes: Sebastian Engelke Multivariate Extremes: Sebastian Engelke	Multivariate Extremes: Sebastian Engelke This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Sebastian Engelke Talk Title: Extremal Graphical Lasso and High-dimensional… eva graph matrix independence distribution structure distributions talk root tree sparsity node asu model nodes extremes kind precision metrics matrices size From Belle Taylor on July 1st, 2021 0 likes 23 plays 0 Publisher Centre for Statistics Licence Type All rights reserved
37:39 IS Machine Learning: Matthieu Lerasle IS Machine Learning: Matthieu Lerasle	IS Machine Learning: Matthieu Lerasle This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Matthieu Lerasle Talk Title: Robust statistical learning Abstract: I will present two… eva process matrix assumption median norm estimator subversion things kind result approach analysis thing loss blocks root beta linear eigenvalue homogeneity From Belle Taylor on June 30th, 2021 0 likes 13 plays 0 Publisher Centre for Statistics Licence Type All rights reserved
14:38 Machine Learning for extremes: Christian Robert Machine Learning for extremes: Christian Robert	Machine Learning for extremes: Christian Robert This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Christian Robert Talk Title: Hill random forests Abstract: In extreme value statistics,… eva function distribution threshold forest regression approach bias root size sample estimator distance observations observation alpha x. space variable error deviance From Belle Taylor on June 29th, 2021 0 likes 41 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
15:37 Machine Learning for extremes: Chen Zhou Machine Learning for extremes: Chen Zhou	Machine Learning for extremes: Chen Zhou This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Chen Zhou Talk Title: Distributed Inference for Tail Empirical and Quantile… eva process tail oracle estimator function machine weight root result machines sample errors proof property infinity estimators statistics average convergence distribution From Belle Taylor on June 29th, 2021 0 likes 44 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
01:03:48 Quasi-polynomial generalizations of Macdonald… Quasi-polynomial generalizations of Macdonald polynomials - Jasper Stokman	Quasi-polynomial generalizations of Macdonald polynomials - Jasper Stokman VISS online seminar series Jasper Stokman (University of Amsterdam, Netherlands) Quasi-polynomial generalizations of Macdonald polynomials 9 June 2021 To remove the captions from this video press… mathematics algebra power action kind point picture element polynomials module space operators root exponent induction level respect reflections elements formula multiplication From GILLIAN KERR on June 9th, 2021 0 likes 13 plays 0 Licence Type All rights reserved Language english Date Created June 9th, 2021
55:57 17 March 2021 - Peter Tingley - A quiver variety… 17 March 2021 - Peter Tingley - A quiver variety approach to root multiplicities	17 March 2021 - Peter Tingley - A quiver variety approach to root multiplicities 17 March 2021 Peter Tingley - A quiver variety approach to root multiplicities repnet quiver root multiplicties things error algebra alpha conditions root maps module path condition filtration fact bit problem roots space relation reason ratio statement From OLLIE Quinn on March 19th, 2021 0 likes 37 plays 0 Licence Type All rights reserved Language English Date Created March 17th, 2021
05:08 Partial Differential Equations Lecture 10 -… Partial Differential Equations Lecture 10 - Boundary Conditions	Partial Differential Equations Lecture 10 - Boundary Conditions In the 2nd part of the lecture we look at boundary conditions for systems of hyperbolic equations. shallow water equations hyperbolic equation numerical methods domain characteristics flow conditions boundary head fluid velocity side root piece condition speed region solution inlet image energy characteristic phi From David Ingram on February 26th, 2021 0 likes 40 plays 0 Course Code SCEE09004 Publisher School of Engineering Licence Type Creative Commons - Attribution Language English Date Created February 22nd, 2021
10:50 Partial Differential Equations Lecture 10 -… Partial Differential Equations Lecture 10 - Shallow Water Equations	Partial Differential Equations Lecture 10 - Shallow Water Equations In this lecture we extend our solver to apply to a system of equations in one spatial dimension. In this case we are solving the St Vennant, or Shallow Water Equations. shallow water equations partial differential equations numerical methods equations matrix conservation momentum phi mass advection water root lambda linear inverse q2 eigenvalues times speed equation form channel term From David Ingram on February 26th, 2021 0 likes 39 plays 0 Course Code SCEE09004 Publisher School of Engineering Licence Type Creative Commons - Attribution Language English Date Created February 22nd, 2021
14:13 Parabolic PDE Analytical methods Example 4:… Parabolic PDE Analytical methods Example 4: Laplace transform method example 9.23	Parabolic PDE Analytical methods Example 4: Laplace transform method example 9.23 Step by step solution of example 9.23 with the Laplace transform method pde3 engineering mathematics example parabolic solution equation laplace capital side hand delta condition infinity impulse dirac point transform domain diffusion root left times problem conduction From Daniel Friedrich on February 6th, 2021 0 likes 85 plays 0 Course Code SCEE09004 Publisher Daniel Friedrich Licence Type Creative Commons - Attribution Language English Date Created February 6th, 2021
13:26 dapr1 - hypothesis testing: critical values (e) dapr1 - hypothesis testing: critical values (e)	dapr1 - hypothesis testing: critical values (e) Part E uoepsy distribution sample score error deviation standard hypothesis approach units values errors minus column quantiles root bar sigma exercises quanta denominator From Umberto Noe on January 24th, 2021 0 likes 226 plays 0 Licence Type All rights reserved The University of Edinburgh
14:03 dapr1 - hypothesis testing: critical values (b) dapr1 - hypothesis testing: critical values (b)	dapr1 - hypothesis testing: critical values (b) Part B uoepsy distribution sample bootstrap error standard effect hypothesis stroop deviation bar parameter column replacement root curve approach participants n. size pattern From Umberto Noe on January 24th, 2021 0 likes 298 plays 0 Licence Type All rights reserved The University of Edinburgh
17:37 5.a 5.a	5.a First video of the Inf2d lecture on Adversarial Search. inf2d reasoning and agents artificial intelligence max game tree nodes moves values minimax actions utility action players problems algorithm min move agents a1 root strategy toe From Claudia-Elena Chirita on January 18th, 2021 0 likes 312 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
10:36 5.b 5.b	5.b Second video of the Inf2D lecture on Adversarial Search. inf2d reasoning and agents artificial intelligence pruning alpha-beta node reply beta alpha max root leaf algorithm choice tree reasoning nodes decision values move game minimax From Claudia-Elena Chirita on January 18th, 2021 0 likes 239 plays 0 Course Code INFR08010 Licence Type All rights reserved The University of Edinburgh Language English
12:09 FDS-S2-01-2-6 Estimating the confidence interval… FDS-S2-01-2-6 Estimating the confidence interval of means of large samples	FDS-S2-01-2-6 Estimating the confidence interval of means of large samples We'll derive confidence intervals for the mean of large samples, when we can assume the sampling distribution of the mean is normal. inf2-fds distribution confidence sample interval error standard method population intervals minus reservation estimator alpha times assumptions papers equals m. root n. From David Sterratt on January 15th, 2021 0 likes 191 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 2021
09:05 FDS-S2-01-2-3 Standard error FDS-S2-01-2-3 Standard error	FDS-S2-01-2-3 Standard error We introduce the standard error of an estimator and, in particular, the standard error of the mean. inf2-fds error standard distribution deviation estimator sigma root hat sample estimate variance replication samples n. estimates simulations size subscript thing parameter From David Sterratt on January 14th, 2021 0 likes 211 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021

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