Search for tag: "deviation"

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13:24 The Central Limit Theorem The Central Limit Theorem	The Central Limit Theorem Discrete Mathematics and Probability 2021/22 Week 11 Part 2 The Central Limit Theorem informatics dmp probability distribution variables deviation sample mu sigma bar variance samples limit root distributions n. epsilon law population total times x1 From Ian Stark 0 likes 148 plays 0 Course Code INFR08031 Publisher Ian Stark — The University of Edinburgh Licence Type Creative Commons - Attribution Language English Date Created November 25th, 2021
53:50 Vera Melinda Galfi II Vera Melinda Galfi II	Vera Melinda Galfi II Mathematics of the Climate Crisis: Extremes and Tipping Points Vera Melinda Galfi, University of UppsalaTuesday 2 November This recording is subtitled. You can turn off the subtitles by pressing CC. climate crisis galfi icms rate deviation function events theory convergence block length averages estimates limit threshold series averaging deviations functions gpd return distribution waves From Sarah Black 0 likes 41 plays 0 Licence Type All rights reserved Date Created November 2nd, 2021
01:24:22 DDC Session 6 Recording DDC Session 6 Recording	DDC Session 6 Recording Recording of Session 6 of data-driven chemistry 2021-22 python data-driven chemistry units bit array precision numbers arrays distance kind things rooms miles breakout session metres deviation hour errors questions distribution accuracy From James Cumby 0 likes 46 plays 0 Course Code CHEM08031 Licence Type Creative Commons - Attribution Date Created October 28th, 2021 Retain Source File Yes
23:49 DENS Trial SOP Training slides DENS Trial SOP Training slides	DENS Trial SOP Training slides SOP Training slides for the DENS Trial. These must be viewed before your Site Initiation Visit. trial study consent investigator event source form log team protocol violation hospitalisation events sponsor capacity documents delegation person training deviation From Angela Niven 0 likes 157 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created August 15th, 2021
18:59 MucAct COPD SIV SOP Training Alice Graves 13th… MucAct COPD SIV SOP Training Alice Graves 13th July 2021	MucAct COPD SIV SOP Training Alice Graves 13th July 2021 MucAct COPD SIV SOP Training Alice Graves 13th July 2021 sop training study trial sponsor protocol team consent safety source participant place deviation event imp events log pi 's pharmacovigilance document From Emma Ward 0 likes 275 plays 0 Licence Type All rights reserved Language English Date Created July 13th, 2021
14:55 Spatial Extremes: Silius M. Vandeskog Spatial Extremes: Silius M. Vandeskog	Spatial Extremes: Silius M. Vandeskog This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Silius M. Vandeskog Talk Title: Modelling extreme sub-daily precipitation with the… eva distribution parameter tail precipitation model location inference parameters levels return priors space gumbel maxima deviation mixing alpha cdf scale quantiles From Belle Taylor 0 likes 39 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
03:00 Olivier Wintenberger EVA Talk Preview Olivier Wintenberger EVA Talk Preview	Olivier Wintenberger EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Olivier Wintenberger Talk Title: Threshold selection for cluster inference based on large deviation… eva icms model data theory solution selection cluster large deviation principles blocks process alpha norm clustering respect infinity approach lp threshold limit analyses bias deviations study statistics apple choice From Anna Munro 0 likes 27 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 0 likes 18 plays 0 Licence Type All rights reserved Language English
02:55 Sebastian Neblung EVA Talk Preview Sebastian Neblung EVA Talk Preview	Sebastian Neblung EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Sebastian Neblung Talk Title: Cluster based estimator for the spectral tail process Abstract: A new type of… theory solution icms eva neblung cluster estimator spectral tail process distribution projection estimation function error transform suspect tape series talk x. deviation performance poses property spec epa method From Anna Munro 0 likes 16 plays 0 Licence Type All rights reserved Language English
09:05 FDS-S1-11-1-3 Standard error FDS-S1-11-1-3 Standard error	FDS-S1-11-1-3 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 0 likes 374 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021
09:23 FDS-S1-11-1-1 Introduction to estimation FDS-S1-11-1-1 Introduction to estimation	FDS-S1-11-1-1 Introduction to estimation We'll introduce the concept of estimating a population or distribution parameter from a sample. inf2-fds distribution population estimator parameters parameter sample lambda deviation pizzas point cheese populations confidence median centre hat theta bit notation intervals From David Sterratt 0 likes 439 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 14th, 2021
48:51 Distillation lecture 4 2019 part 2 Distillation lecture 4 2019 part 2	Distillation lecture 4 2019 part 2 Distillation lecture 4 part 2 hydrogen vapour molecules bonding pressure bonds deviation donor class effect water molecule star things atoms composition maximum component times minimum From John Christy 0 likes 77 plays 0 Course Code CHEE11023 Publisher John Christy Licence Type All rights reserved The University of Edinburgh Language British English Date Created December 31st, 2020
16:34 Priniciples of Neuropsychology: How do we know if… Priniciples of Neuropsychology: How do we know if someone has a deficit _ with captions	Priniciples of Neuropsychology: How do we know if someone has a deficit _ with captions deviation iq tests percentile neuropsychology From Sharon Abrahams 0 likes 53 plays 0 Course Code PSYL11058 Licence Type All rights reserved Date Created December 31st, 2020
15:48 USMR lecture 8 part 1 USMR lecture 8 part 1	USMR lecture 8 part 1 Scaling usmr psychology ppls statistics rstats age model week intercept hours reading deviation effect change predictor axis outcome practice slope hour students standardization output fit function From Martin Corley 0 likes 375 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 8th, 2020
09:35 ML1: Representing your data ML1: Representing your data	ML1: Representing your data In the first video, we learn how we can represent data from a multitude of sources as vectors. We show that these vectors can be stacked into a matrix to represent an entire dataset, and the… matrix vector column point points row entry measurements dimensions amplitude width length deviation image images flower values dataset dimension columns From Elliot Crowley 0 likes 32 plays 0
12:10 MLP Lecture 06 - Clip 04 - Batch Normalisation MLP Lecture 06 - Clip 04 - Batch Normalisation	MLP Lecture 06 - Clip 04 - Batch Normalisation Machine Learning Practical (MLP) Lecture 06, Clip 04 / 05. machine learning deep learning deviation normalization batch training backpropagation minibatch beta gamma networks gradient weights reason output layer features thing activation network idea activations From Pavlos Andreadis 1 likes 411 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English

Search for tag: "deviation"

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