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51:57 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Svetlana Dubinkina	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Svetlana Dubinkina Svetlana Dubinkina, Vrije Universiteit Amsterdam - Shadowing approach to data assimilation Automatic subtitles have been added to this recording. We are editing the subtitles to reflect the speaker,… icms stochastic numerics data observations simulation observation error synchronisation cost trajectory approach subspace orbit solution conditions function condition curve dimension model method variables guess From DIANE HORBERRY on February 17th, 2021 0 likes 9 plays 0 Publisher Diane Hoberry Licence Type All rights reserved Language English Date Created February 17th, 2021
52:59 ASR Lecture 9 part II; ASR Lecture 10 part I ASR Lecture 9 part II; ASR Lecture 10 part I	ASR Lecture 9 part II; ASR Lecture 10 part I Second part of ASR Lecture 9: WFSTs for ASR First part of ASR Lecture 10: Neural network acoustic models 1 speech recognition error context function bit vector output weight score point thing phones weights grandma respect t. training things hmm space pizza From Peter Bell on February 15th, 2021 0 likes 12 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created February 11th, 2021
47:55 Michael Feischl 8 February 2021 Black box… Michael Feischl 8 February 2021 Black box algorithms for adaptive FEM	Michael Feischl 8 February 2021 Black box algorithms for adaptive FEM An automated programme has been used to generate the subtitles on this talk. icms owna error problem network algorithm approximation optimality mesh element elements rate refinement sequence estimator networks norm problems step solution space orthogonality From OLLIE Quinn on February 8th, 2021 0 likes 34 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created February 8th, 2021
11:54 dapr1 - making decisions (c) dapr1 - making decisions (c)	dapr1 - making decisions (c) Part C uoepsy sample distribution hypothesis body values degrees curve temperature deviation celsius humans significance difference alpha proportion density error standard evidence temp From Umberto Noe on February 7th, 2021 0 likes 144 plays 0 Licence Type All rights reserved The University of Edinburgh
12:37 dapr1 - making decisions (b) dapr1 - making decisions (b)	dapr1 - making decisions (b) Part B uoepsy patient glucose test diabetes error probability illness blood power negatives level levels positives distribution fact hypothesis point cutoff litre mole From Umberto Noe on February 7th, 2021 0 likes 150 plays 0 Licence Type All rights reserved The University of Edinburgh
39:45 dapr1 - making decisions (a) dapr1 - making decisions (a)	dapr1 - making decisions (a) Part A uoepsy hypothesis error probability distribution sample power alpha significance statistic errors level size statistics decision values event fact court chance defendant From Umberto Noe on February 7th, 2021 0 likes 188 plays 0 Licence Type All rights reserved The University of Edinburgh
24:06 dapr1 - hypothesis testing and CIs (d) dapr1 - hypothesis testing and CIs (d)	dapr1 - hypothesis testing and CIs (d) Part D uoepsy hypothesis probability test tests parameter minus alpha rejection times fact chance interval umbrella effect problem study error intervals testing issue replication result From Umberto Noe on January 31st, 2021 0 likes 169 plays 0 Licence Type All rights reserved The University of Edinburgh
10:44 FDS-S2-03-1-3 Large sample theory of A/B testing FDS-S2-03-1-3 Large sample theory of A/B testing	FDS-S2-03-1-3 Large sample theory of A/B testing We work through how to apply large-sample theory to A/B testing. inf2-fds hat variance error minus standard estimator confidence expression b. interval estimate difference equation things parameter proportions sense alpha numbers population From David Sterratt on January 28th, 2021 0 likes 113 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 28th, 2021
57:17 One World Virtual Seminar Series - Stochastic… One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andreas Prohl (Tübingen)	One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems: Andreas Prohl (Tübingen) Automatic subtitles have been added to this recording. We are editing the subtitles to reflect the speaker, to turn these off please select "cc", "off". Andreas Prohl… icms discretization methods term space element equation solution pressure stokes gradient divergence analysis context nonlinearity error incompressibility omega problem 3d laplace From DIANE HORBERRY on January 27th, 2021 0 likes 28 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created December 2nd, 2020
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 216 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 282 plays 0 Licence Type All rights reserved The University of Edinburgh
10:55 FDS-S2-02-4 Issues in hypothesis testing FDS-S2-02-4 Issues in hypothesis testing	FDS-S2-02-4 Issues in hypothesis testing We consider 3 issues in hypothesis testing: Type I and Type II errors; cherry-picking, p-value hacking etc., and a short discussion about the possibility that hypothesis-driven research can hinder… inf2-fds hypothesis error region rejection testing gorilla test errors dataset students experiments values hypotheses steps mass body 1a size probability topic From David Sterratt on January 18th, 2021 0 likes 119 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 18th, 2021
12:54 FDS-S2-01-2-9 Estimating confidence intervals for… FDS-S2-01-2-9 Estimating confidence intervals for means of small samples	FDS-S2-01-2-9 Estimating confidence intervals for means of small samples We'll look at means from small samples, where the normal approximation of the sampling distribution of the mean breaks down. inf2-fds freedom degrees distribution alpha sample confidence error values curve standard statistic interval samples tails minus tail hat estimate grammes papers From David Sterratt on January 15th, 2021 0 likes 116 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 15th, 2021
12:22 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 137 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 2021
08:57 FDS-S2-01-2-5 Definition of confidence intervals FDS-S2-01-2-5 Definition of confidence intervals	FDS-S2-01-2-5 Definition of confidence intervals We give a formal definition of confidence intervals, and show how the random interval can be converted to a random variable inf2-fds interval estimator theta error variable standard times definition confidence probability hat statement alpha minus cases variables parameter sample formulation quantity From David Sterratt on January 15th, 2021 0 likes 136 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 2021
06:57 FDS-S2-01-2-4 Principle of confidence intervals FDS-S2-01-2-4 Principle of confidence intervals	FDS-S2-01-2-4 Principle of confidence intervals Here we introduce the principle of confidence intervals graphically. inf2-fds interval error standard point minus confidence distribution thing sample probability intervals errors mass deviations procedure trimming moon tail estimate trade From David Sterratt on January 14th, 2021 0 likes 155 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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