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43:24 Data literacy for beginners (updated 2022-2023) Data literacy for beginners (updated 2022-2023)	Data literacy for beginners (updated 2022-2023) Data Literacy for beginners is a one-hour webinar designed to introduce staff and students to the concepts first published in a popular statistics pamphlet, entitled How To Lie with Statistics, by… data skills digital skills and training sample population statistics bias chart numbers size graph chapter skills values students error sampling chat statistic axis trends market samples From Tracy Steinberg 0 likes 37 plays 0 Publisher Tracy Steinberg Licence Type All rights reserved The University of Edinburgh Language British English Date Created November 1st, 2022
46:55 Fast Online Changepoint Detection via Functional… Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics - Paul Fearnhead	Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics - Paul Fearnhead Structural Breaks and Shape Constraints Fast Online Changepoint Detection via Functional Pruning CUSUM Statistics Paul Fearnhead (Lancaster University) 17 May 2022 icms quadratics change sort algorithm point quadratic likelihood mu ray test maximum cost burst sum window t. bit points values statistic From Iain Cms 0 likes 77 plays 0 Licence Type All rights reserved Language English Date Created May 19th, 2022
29:44 Optimal High-Dimensional Change Point Testing in… Optimal High-Dimensional Change Point Testing in Regression Settings - Daren Wang	Optimal High-Dimensional Change Point Testing in Regression Settings - Daren Wang Structural Breaks and Shape Constraints Optimal High-Dimensional Change Point Testing in regression Settings Daren Wang (University of Notre Dame) 16 May 2022 icms hypothesis change beta times statistic sigma point points epsilon star alpha interval regression covariance testing statistics power variance form test From Iain Cms 0 likes 50 plays 0 Licence Type All rights reserved Language English Date Created May 17th, 2022
29:32 REBM Week 5a) REBM Week 5a)	REBM Week 5a) This is the first in a series of recordings for Week 5 of the Year MBChB coourse Research and Evidence-Based Medicine on the general topic 'Hypothesis tests and related statistics –… hypothesis testing chi-square test of association fisher's exact test yates' correction chi hypothesis counts association population column statistic test table sample week significance contingency series lecture size values frequencies correction concepts From Margaret MacDougall 0 likes 237 plays 0 Publisher Margaret MacDougall Licence Type All rights reserved The University of Edinburgh Language English Date Created October 18th, 2021
15:15 Week 4 c) - MMD Week 4 c) - MMD	Week 4 c) - MMD This is the third in a series of three recorded lectures considering the graphical origins of the p-value and the corresponding different approaches to performing one- and two-tailed tests. one-tailed test two-tailed test p-values t-distribution test hypothesis statistic income significance alpha notice level favour magnitude protein tail point idea curve result probability evidence assumption tests From Margaret MacDougall 0 likes 194 plays 0 Publisher Margaret MacDougall Licence Type All rights reserved The University of Edinburgh Language English Date Created October 12th, 2021
13:38 Week 4b) - MMD Week 4b) - MMD	Week 4b) - MMD This is the second in a series of three recorded lectures considering the graphical origins of the p-value and the corresponding different approaches to performing one- and two-tailed tests. one-tailed test two-tailed test p-values t-distribution test alpha statistic hypothesis naught left region values tail point table protein distribution level decision formula significance notice tests places From Margaret MacDougall 0 likes 240 plays 0 Publisher Margaret MacDougall Licence Type All rights reserved The University of Edinburgh Language English Date Created October 12th, 2021
39:47 1 Oct - Evan Baker (Exeter) - Emulating… 1 Oct - Evan Baker (Exeter) - Emulating Stochastic Computer Models (and using Deterministic Models to do so).	1 Oct - Evan Baker (Exeter) - Emulating Stochastic Computer Models (and using Deterministic Models to do so). 1 October 2021 Evan Baker (Exeter) - Emulating Stochastic Computer Models (and using Deterministic Models to do so). Using fast statistical models (emulators) to predict the output of slower… research statistic data science simulation model emulation emulator uncertainty programmes simulations models stuff history problems programme variability gp things sort matching problem lots thing From Greg McCracken 0 likes 9 plays 0 Licence Type All rights reserved Language English Date Created October 1st, 2021
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 0 likes 42 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 0 likes 63 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 0 likes 16 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 0 likes 32 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 0 likes 36 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 23 April 2021Theodore Papamarkou - Challenges in Markov chain Monte Carlo for Bayesian neural networksMarkov chain Monte Carlo (MCMC) methods have not been broadly adopted in Bayesian neural networks… 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 Greg McCracken 0 likes 56 plays 0 Licence Type All rights reserved Language English Date Created April 23rd, 2021
10:14 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 354 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-S2-01-1-3 Goodness-of-fit FDS-S2-01-1-3 Goodness-of-fit	FDS-S2-01-1-3 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 0 likes 427 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-S2-01-1-1 Principle of hypothesis testing FDS-S2-01-1-1 Principle of hypothesis testing	FDS-S2-01-1-1 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 0 likes 518 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 17th, 2021

Search for tag: "statistic"

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