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Testing for Shape Restrictions with U-Processes -… duration 33 minutes 20 seconds Testing for Shape Restrictions with U-Processes -… Testing for Shape Restrictions with U-Processes - Kengo Kato	Testing for Shape Restrictions with U-Processes - Kengo Kato Structural Breaks and Shape Constraints Testing for Shape Restrictions with U-Processes Kengo Kato (Cornell University) 19 May 2022 icms process function bootstrap size sampling sample concave neighbourhood production indices point computation component distribution supremum sum power test concavity complexity From Iain Cms 0 likes 115 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
Applications of Extremes : Vladas Pipiras duration 19 minutes 5 seconds Applications of Extremes : Vladas Pipiras Applications of Extremes : Vladas Pipiras	Applications of Extremes : Vladas Pipiras This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Vladas Pipiras Talk Title: Multifidelity Monte Carlo estimation for… eva fidelity estimator distribution bootstrap bivariate motion variables baseline estimate dependence parameter cdf multi variability plot threshold variable extrapolation samples probability From Belle Taylor 0 likes 33 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 30th, 2021
Public Health, Epidemiology, Life Sciences and… duration 21 minutes 15 seconds 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… eva tree distribution function trees week test end bootstrap distance difference space sample classification mortality statistic f1 hospital hypothesis sampling question From Belle Taylor 0 likes 47 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
Benjamin Bobbia EVA Talk Preview duration 2 minutes 41 seconds Benjamin Bobbia EVA Talk Preview Benjamin Bobbia EVA Talk Preview	Benjamin Bobbia EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Benjamin Bobbia Talk Title: Estimation of extreme conditional quantiles with coupling method. Abstract: The… icms eva model theory solution estimation extremes conditionals quantiles coupling methods distribution function condition proposal approach covariate space method place meeting process detail procedure validation crm bootstrap From Anna Munro 0 likes 17 plays 0 Licence Type All rights reserved Language English
Holger Drees EVA Talk Preview duration 2 minutes 45 seconds Holger Drees EVA Talk Preview Holger Drees EVA Talk Preview	Holger Drees EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Holger Drees Talk Title: Bootstrap for block-based extreme value statistics Abstract: Let $(X_t)_{1\le t\le… solution theory icms eva bootstrap block-based extremes values statistics blocks variance approach disjoint series normality block exceedances quantities estimators talk topic practise parameter tuning addition storey From Anna Munro 0 likes 41 plays 0 Licence Type All rights reserved Language English
FDS-S2-02-1-2 Increasing certainty in A/B testing duration 5 minutes 26 seconds FDS-S2-02-1-2 Increasing certainty in A/B testing FDS-S2-02-1-2 Increasing certainty in A/B testing	FDS-S2-02-1-2 Increasing certainty in A/B testing We look at how to obtain more precise and estimates in A/B testing - and how to avoid some pitfalls. inf2-fds afternoon confidence button monday interval proportion times bit sample wednesday simulations numbers morning test bootstrap clickthrough difference webpage testing result From David Sterratt 0 likes 315 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 28th, 2021
FDS-S2-02-1-1 principle of A/B testing duration 12 minutes 13 seconds FDS-S2-02-1-1 principle of A/B testing FDS-S2-02-1-1 principle of A/B testing	FDS-S2-02-1-1 principle of A/B testing We explain the principle of A/B testing, and how to derive confidence intervals for the difference in population proportions using the bootstrap. inf2-fds b. testing button minus times distribution a. bootstrap hat estimate parameters proportion difference estimators confidence method result chance estimates star From David Sterratt 0 likes 377 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 28th, 2021
FDS-S2-01-2-3 Multiple logistic regression and… duration 10 minutes 14 seconds FDS-S2-01-2-3 Multiple logistic regression and… FDS-S2-01-2-3 Multiple logistic regression and confidence and intervals	FDS-S2-01-2-3 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 0 likes 366 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 2021
FDS-S1-11-2-4 Bootstrap confidence intervals duration 13 minutes 8 seconds FDS-S1-11-2-4 Bootstrap confidence intervals FDS-S1-11-2-4 Bootstrap confidence intervals	FDS-S1-11-2-4 Bootstrap confidence intervals We introduce the bootstrap method of estimating confidence intervals inf2-fds sample bootstrap distribution confidence interval regression population variance estimate star bootstrapping table replacement loop things estimator idea coefficients coefficient intervals From David Sterratt 0 likes 339 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 2021 Retain Source File Yes
IDS - Week 10 - 06 - Bootstrapping duration 15 minutes 5 seconds IDS - Week 10 - 06 - Bootstrapping IDS - Week 10 - 06 - Bootstrapping	IDS - Week 10 - 06 - Bootstrapping Bootstrapping to create a confidence interval for the mean with tidymodels rstats data science sample interval confidence population flats samples bootstrap rent level bedroom intervals statement parameter end values means distribution edinburgh accuracy interpretation From Mine Cetinkaya-Rundel 0 likes 42 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
IDS - Week 10 - 05 - Quantifying uncertainty duration 28 minutes 50 seconds 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 0 likes 45 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like