Search for tag: "statistic"

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21:15 Public Health, Epidemiology, Life Sciences and… Public Health, Epidemiology, Life Sciences and Life Lengths: Felix Cheysson	Public Health, Epidemiology, Life Sciences and Life Lengths: Felix Cheysson This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Felix Cheysson Talk Title: Evolution of groups at high risk of death from Covid-19 using… eva tree distribution function trees week test end bootstrap distance difference space sample classification mortality statistic f1 hospital hypothesis sampling question From Belle Taylor on June 29th, 2021 0 likes 27 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
18:52 Inference and robust extremes: Jochem Oorschot Inference and robust extremes: Jochem Oorschot	Inference and robust extremes: Jochem Oorschot This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Jochem Oorschot Talk Title: Extreme U-statistics Abstract: (joint work with Johan… eva statistic function statistics observations variance block estimator kernel gamma blocks distribution expectation idea projection ratio sense hill times question maxima From Belle Taylor on June 28th, 2021 0 likes 42 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 28th, 2021
03:37 Jochem Oorschot EVA Talk Preview Jochem Oorschot EVA Talk Preview	Jochem Oorschot EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Jochem Oorschot Talk Title: Extreme U-statistics Abstract: Extreme U-statistics (joint work with Johan Segers… extremes statistics notion averages estimators theory solution eva icms sequences kernel gamma function estimator variance block statistic observations proportionality relation hill expectation infinity size sample talk methods 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
03:18 Anna Ben-Hamou EVA Talk Preview Anna Ben-Hamou EVA Talk Preview	Anna Ben-Hamou EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Anna Ben-Hamou Talk Title: Non-asymptotic bounds for Probability weighted moment estimators Abstract: In… eva icms theory solution model weighted estimators bounds fields parameters extremes moments estimator probability statistic size variance tail expectation distribution qs sample statistics sigma theta concentration bar times function From Anna Munro on May 24th, 2021 0 likes 11 plays 0 Licence Type All rights reserved Language English
53:17 23 April 2021: Theodore Papamarkou - Challenges… 23 April 2021: Theodore Papamarkou - Challenges in Markov chain Monte Carlo for Bayesian neural networks	23 April 2021: Theodore Papamarkou - Challenges in Markov chain Monte Carlo for Bayesian neural networks The subtitles/captions on this talk are being edited. They will be available within 2 weeks of the talk being published. 23 April 2021Theodore Papamarkou - Challenges in Markov chain Monte Carlo… statistic research data science networks layer mcmc space parameters problem weights inference marginalisation convergence function output likelihood identifiability parameter bit posterior percent activation probability From OLLIE Quinn on April 29th, 2021 0 likes 28 plays 0 Licence Type All rights reserved Language English Date Created April 23rd, 2021
10:14 FDS-S2-02-2-3 Multiple logistic regression and… FDS-S2-02-2-3 Multiple logistic regression and confidence and intervals	FDS-S2-02-2-3 Multiple logistic regression and confidence and intervals We extend logistic regression to multiple independent variables, and show how we can use the boostrap to estimate confidence intervals for coefficients, and to test hypotheses. inf2-fds odds beta regression hypothesis bootstrap intervals age confidence ratio hat method log credit coefficients coefficient variables fact statistic 95th dataset From David Sterratt on January 20th, 2021 0 likes 179 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 2021
23:10 FDS-S2-02-1-3 Goodness-of-fit FDS-S2-02-1-3 Goodness-of-fit	FDS-S2-02-1-3 Goodness-of-fit We'll extend the previous example to a one-way contingency table with multiple categories, in which the chi-squared "goodness-of-fit" statistic is used. We then extend it further to a… inf2-fds distribution chi dot statistic population test hypothesis females categories disparity category numbers groups totals freedom fit difference thing panels males From David Sterratt on January 18th, 2021 0 likes 222 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 17th, 2021
15:28 FDS-S2-02-1-1 Principle of hypothesis testing FDS-S2-02-1-1 Principle of hypothesis testing	FDS-S2-02-1-1 Principle of hypothesis testing We introduce the principle of hypothesis testing inf2-fds hypothesis test distribution rejection statistic region jury testing regions panel chocolate model bit concept probability point population method selection control From David Sterratt on January 18th, 2021 0 likes 260 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 17th, 2021
12:46 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 163 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 15th, 2021
28:50 IDS - Week 10 - 05 - Quantifying uncertainty IDS - Week 10 - 05 - Quantifying uncertainty	IDS - Week 10 - 05 - Quantifying uncertainty Constructing a bootstrap confidence interval for the slope data science rstats sample slope population samples students bootstrap confidence points bit range estimate parameter model times gift income interval statistic values aid From Mine Cetinkaya-Rundel on November 25th, 2020 0 likes 19 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
18:08 Topic 22: Expectations and their Properties… Topic 22: Expectations and their Properties (PETARS, Chapter 4)	Topic 22: Expectations and their Properties (PETARS, Chapter 4) This video discusses why it is useful to characterise a probability density function (pdf) in terms of salient features which measure the location, spread, asymmetry, and the tails of the density.… pge11164 function expectation operator probability pdf distribution density variable pi linear transformation statistics x. proof respect minus zeta side statistic hand From James Hopgood on September 7th, 2020 0 likes 102 plays 0 Course Code PGEE11164 Licence Type All rights reserved Date Created September 8th, 2020
03:37 1. Introduction 1. Introduction	1. Introduction Introduction to Analysing Repeated Measures Data Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, March 2016. ************************************************ These… data analysis statistics statistic modelling bioinformatics the roslin institute repeated measures data From Chunhui Zhang on May 3rd, 2016 0 likes 16 plays 0 Licence Type All rights reserved The University of Edinburgh Language En Date Created May 3rd, 2016

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