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15:32 Regression Techniques: Jeongjin Lee Regression Techniques: Jeongjin Lee	Regression Techniques: Jeongjin Lee This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Jeongjin Lee Talk Title: Transformed-linear combination of regularly varying random… eva tail matrix factor percent linear predictor prediction hat tpd coefficient method form dependence vector space region levels extremes rate panel From Belle Taylor on July 3rd, 2021 0 likes 8 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 3rd, 2021
15:03 Best Student Paper: Edossa Merga Terefe Best Student Paper: Edossa Merga Terefe	Best Student Paper: Edossa Merga Terefe This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Edossa Merga Terefe Talk Title: Extremal Random Forests Abstract: Methods from… eva function forest predictor parameter level quantile regression quantiles quintile distribution estimation scale methods simulation percent weights shape parameters pareto points From Belle Taylor on July 1st, 2021 0 likes 13 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 1st, 2021
02:54 Joel Zeder EVA Talk Preview Joel Zeder EVA Talk Preview	Joel Zeder EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Joel Zeder Talk Title: The value of regularisation and model robustness in the context of climate extremes… icms eva theory solution model data values regularisation robustness climate extremes initial heat height temperature surface simulations conditions predictor distribution pressure pattern circulation maxima conference talk domain study heatwave From Anna Munro on May 25th, 2021 0 likes 12 plays 0 Licence Type All rights reserved Language English
03:00 Edossa Merga Terefe EVA Talk Preview Edossa Merga Terefe EVA Talk Preview	Edossa Merga Terefe EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Edossa Merga Terefe Talk Title: Extremal Random Forests Abstract: Methods from statistics and machine… icms eva theory solution model data extremal random forests methods statistics machine learning quantiles function quantile space predictor models algorithm idea range dimensionality picture level variable response detail conference cantilever philip levels erf competitor From Anna Munro on May 25th, 2021 0 likes 14 plays 0 Licence Type All rights reserved Language English
03:36 Jeongjin Lee EVA Talk Preview Jeongjin Lee EVA Talk Preview	Jeongjin Lee EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Jeongjin Lee Talk Title: Transformed-linear combination of regularly varying random variables and linear… solution theory icms eva model linear transformed combination randomization variables extremes predicitions tail transfer predictor space vector prediction hat measure uncertainty percent sigma blood probabilities factor matrix coordinate polar From Anna Munro on May 20th, 2021 0 likes 11 plays 0 Licence Type All rights reserved Language English
02:54 Xuan Leng EVA Talk Preview Xuan Leng EVA Talk Preview	Xuan Leng EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Xuan Leng Talk Title: Extreme Conditional Quantiles for Panel Data Model with Individual Effects and… panel icms eva theory solution leng extremes quantiles models data effects heteroscedasticity tau model coefficient framework regression professor heteroscedastic sequence infinity size sample qi qa predictor task heterogeneity cross unit alpha From Anna Munro on May 13th, 2021 0 likes 13 plays 0 Licence Type All rights reserved Language English
07:25 Partial Differential Equations Lecture 9 -… Partial Differential Equations Lecture 9 - MacCormack method in 2D	Partial Differential Equations Lecture 9 - MacCormack method in 2D This part of the lecture develops a 2D solver using the method of Fractional Steps and the MacCormack scheme and applies it to a test problem hyperbolic equation fractional steps numerical methods partial differential equations operator problem conditions function test step direction bit 2pi values delta 3e solution times scheme lecture rise corrector predictor timestep From David Ingram on February 16th, 2021 0 likes 40 plays 0 Course Code SCEE09004 Publisher School of Engineering Licence Type Creative Commons - Attribution Language English Date Created February 16th, 2021
05:26 Partial Differential Equations, Lecture 8b: TVD… Partial Differential Equations, Lecture 8b: TVD MacCormack	Partial Differential Equations, Lecture 8b: TVD MacCormack Here we implement the MacCormack scheme with a TVD correction in Matlab and apply it to a test problem tvd scheme maccormack method hyperbolic equation partial differential equations scheme solution correction function grid step tvd bit minus formula cell conditions prediction equations predictor steps discontinuities selection seconds likes From David Ingram on February 15th, 2021 0 likes 47 plays 0 Course Code SCEE09004 Publisher School of Engineering Licence Type Creative Commons - Attribution Date Created February 15th, 2021
19:12 dapr2(20-21)15.1 dapr2(20-21)15.1	dapr2(20-21)15.1 Lect29a squares effect variance sums sum variables beta variable age predictor gender effects predictors x1 proneness account accounts anger stuff semester From Leonidas Doumas on February 7th, 2021 0 likes 185 plays 0 Licence Type All rights reserved
06:53 IDS - Week 10 - 01 - Keeping up with IDS IDS - Week 10 - 01 - Keeping up with IDS	IDS - Week 10 - 01 - Keeping up with IDS Keeping up with IDS - Week 10 data science rstats week model coefficient correlation variables questions homework issues question predictor call class team projects progress relationship linear performance increases feedback From Mine Cetinkaya-Rundel on November 23rd, 2020 0 likes 15 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
12:28 USMR lecture 9 part 1 USMR lecture 9 part 1	USMR lecture 9 part 1 bigger regression models usmr psychology ppls statistics rstats age model method week hours phonics practise times predictors word interaction predictor things reading linear 3d command interactions coefficient intercept From Martin Corley on November 15th, 2020 0 likes 164 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 15th, 2020
14:34 USMR lecture 8 part 3 USMR lecture 8 part 3	USMR lecture 8 part 3 interactions usmr psychology ppls statistics age times week hours word method model practice interaction reading phonics intercept effects training predictor values slope coefficients graph surface From Martin Corley on November 8th, 2020 0 likes 142 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 8th, 2020
19:52 USMR lecture 8 part 2 USMR lecture 8 part 2	USMR lecture 8 part 2 categorical predictors usmr psychology ppls statistics rstats play model mode lego intercept error function toys values utility column linear zing factor difference things contrast predictor standard m0 From Martin Corley on November 8th, 2020 0 likes 145 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 14th, 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 on November 8th, 2020 0 likes 166 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 8th, 2020
19:30 USMR lecture 7 part 3 USMR lecture 7 part 3	USMR lecture 7 part 3 multiple regression usmr psychology ppls statistics rstats age model week hours predictor predictors intercept variance bit squares observation reading sums error slope models regression mod times residuals From Martin Corley on November 1st, 2020 0 likes 181 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 1st, 2020
04:00 Mean Squared Error and Outliers Mean Squared Error and Outliers	Mean Squared Error and Outliers Mean Squared Error and Outliers iaml evaluation error regression pattern fit prediction outlier reason metric effect truth problem deviations bath iteration values predictor relative mse weka nein From Nigel Goddard on September 21st, 2016 0 likes 2,173 plays 0 Licence Type Creative Commons - Attribution

Search for tag: "predictor"

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