Search for tag: "coefficients"

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31:08 Time Series: Marco Oesting Time Series: Marco Oesting	Time Series: Marco Oesting This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar.Name: Marco Oesting Talk Title: Long Range Dependence in the Tails Abstract: The presence or… eva range dependence series kind process max definition setting probability estimators coefficients exceedances fact things function question instance variance tails condition From Adrian Peter Casey on July 5th, 2021 0 likes 4 plays 0 Publisher Centre for Statistics’ Licence Type All rights reserved Language English Date Created July 5th, 2021
15:09 Best Student Paper: Olivier Pasche Best Student Paper: Olivier Pasche	Best Student Paper: Olivier Pasche This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Olivier Pasche Talk Title: Causal Modelling of Heavy-Tailed Variables and… eva variables test x2 confounder relationship estimator distribution x1 causality stations covariates estimates gamma values coefficients strength f1 effects coefficient tail From Belle Taylor on July 1st, 2021 0 likes 15 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created July 1st, 2021
14:18 Spatial Extremes: Peng Zhong Spatial Extremes: Peng Zhong	Spatial Extremes: Peng Zhong This talk has been automatically captioned. You can remove these by pressing CC on the video toolbar. Name: Peng Zhong Talk Title: Modeling and exact simulation of non-stationary temperature maxima… eva max model process dependence parameter coefficient beta models distribution processes waves independence function maxima coefficients extrema level eye form power From Belle Taylor on June 29th, 2021 0 likes 10 plays 0 Publisher Centre for Statistics Licence Type All rights reserved Language English Date Created June 29th, 2021
39:31 Albert Garreta-Fontelles: The Diophantine Problem… Albert Garreta-Fontelles: The Diophantine Problem in Solvable Groups and Finitely Generated Rings	Albert Garreta-Fontelles: The Diophantine Problem in Solvable Groups and Finitely Generated Rings Geometric and Asymptotic Group Theory with Applications (GAGTA 14) Workshop (07 - 11 June) Albert Garreta-Fontelles, University of the Basque Country- The Diophantine Problem in Solvable Groups and… icms mathematics maths math diophantine problem finitely generated rings geometry asymptotic group the groups result integers ring equations equation structure interpretability linear elements solution undecidability rings times length solutions coefficients polynomials class From Sophia Martin on June 10th, 2021 0 likes 9 plays 0 Licence Type All rights reserved Language English Date Created June 7th, 2021
26:44 Object Characterisation with MPT Spectral… Object Characterisation with MPT Spectral Signature - Paul Ledger	Object Characterisation with MPT Spectral Signature - Paul Ledger Mathematics for Detecting, Locating and Characterising Metal Objects Paul Ledger, Keele University - Object Characterisation with MPT Spectral Signature 1 June 2021 This recording is subtitled. You… icms mathematics maths math metals mpt spectral signature spectral frequency objects function coefficients object tensor characterization problem things frequencies field class classes approach expansion description parts solutions position background From Sophia Martin on June 2nd, 2021 0 likes 44 plays 0 Licence Type All rights reserved Language English Date Created June 1st, 2021
01:23 Su-Fen Yang EVA Talk Preview Su-Fen Yang EVA Talk Preview	Su-Fen Yang EVA Talk Preview This talk has captions. You can remove these by pressing CC on the video toolbar. Name: Su-Fen Yang Talk Title: The PCA-based Control Charts for Monitoring Multiple-stream Processes Abstract: The… eva icms theory solution model control charts monitoring multiple-stream multiple processes distribution process sample bottle picture talk conference mason xin readouts tesla hace waves coefficients correlation refund variance ways head haze From Anna Munro on May 20th, 2021 0 likes 7 plays 0 Licence Type All rights reserved Language English
27:22 Data-Driven Classical Density Functional Theory:… Data-Driven Classical Density Functional Theory: A Case for Physics Informed Learning - Peter Yatsyshin	Data-Driven Classical Density Functional Theory: A Case for Physics Informed Learning - Peter Yatsyshin New directions in classical density functional theory online workshop 3 - 6 May 2021 Peter Yatsyshin (The Alan Turing Institute, London) Data-Driven Classical Density Functional Theory: A Case for… mathematics distribution model energy dft parameters function mu equation training point potential thing truth uncertainty coefficients inference picture sample prediction physics From GILLIAN KERR on May 5th, 2021 0 likes 19 plays 0 Licence Type All rights reserved Language english Date Created May 4th, 2021
51:18 BMC BAMC 2021 Mark Gross BMC BAMC 2021 Mark Gross	BMC BAMC 2021 Mark Gross 6-9 April, BMC BAMC 2021. This is the BMC Morning Talk by Mark Gross (Cambridge). Intrinsic Mirror Symmetry. This recording is subtitled. If you wish to remove the captions, click the CC button… mathematics icms bmc bamc 2021 bmc bamc solution theory symmetry gross fact things question point degree lines curve surface maps points d1 space numbers solutions sense theta curves function coefficients d2 mirror From Anna Munro on April 21st, 2021 0 likes 43 plays 0 Licence Type All rights reserved Language English Date Created April 8th, 2021
$Thumbnail for entry Multiple orthogonal polynomials and branched continued fractions: An unexpected connection - Alan Sokal$ 49:21 Multiple orthogonal polynomials and branched… Multiple orthogonal polynomials and branched continued fractions: An unexpected connection - Alan Sokal	Multiple orthogonal polynomials and branched continued fractions: An unexpected connection - Alan Sokal OPSFOTA online seminar series Multiple orthogonal polynomials and branched continued fractions: An unexpected connection Alan Sokal (University College London & New York University) 19 April… mathematics matrix polynomials sequence linear production fraction unit fractions step path functionals branch output moments recurrence gamma coefficients weight rogers diagonal From GILLIAN KERR on April 19th, 2021 0 likes 41 plays 0 Licence Type All rights reserved Language english Date Created April 19th, 2021
53:03 Generalised higher order Freud polynomials -… Generalised higher order Freud polynomials - Kerstin Jordaan	Generalised higher order Freud polynomials - Kerstin Jordaan OPSFOTA online seminar series Generalised higher order Freud polynomials Kerstin Jordaan (University of South Africa) 29 March 2021 To remove the captions from this video press CC on the bottom… mathematics recurrence polynomials weight equation lambda coefficients coefficient zeros functions moments expression weights relation degree function infinity term moment freud differential From GILLIAN KERR on March 29th, 2021 0 likes 38 plays 0 Licence Type All rights reserved Language english Date Created March 29th, 2021
35:55 UK-APASI in Mathematical Sciences Sandile Motsa UK-APASI in Mathematical Sciences Sandile Motsa	UK-APASI in Mathematical Sciences Sandile Motsa Subtitles will be visible soon. 15 - 17 March 2021 Mathematical Modelling of Biological Systems. Numerical analysis and High Performance Scientific Computing equation equations solution methods formula coefficients form phi iteration points method coefficient unknowns function parameters nodes interval approach idea series From Liam Holligan on March 17th, 2021 0 likes 5 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created March 16th, 2021
18:31 FDS-S2-02-2-5 Maximum likelihood estimation of… FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients	FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients We introduce the principle of maximum likelihood, and show how to derive the likelihood as a function of the coefficients for logistic regression. We also mention one topical application of logistic… inf2-fds beta log likelihood probability regression term failure function i. success sum naught principle coefficients point respect x. dataset equals thing From David Sterratt on January 20th, 2021 0 likes 159 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 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
17:50 FDS-S2-02-2-1 Principle of logistic regression FDS-S2-02-2-1 Principle of logistic regression	FDS-S2-02-2-1 Principle of logistic regression We introduce the principle of logisitc regression, illustrating its application to a credit approval dataset. We also introduce the concepts of odds and odds ratios. inf2-fds regression odds probability beta approval success x. age variable function coefficients variables credit ratio minus curve classification naught linear times From David Sterratt on January 19th, 2021 0 likes 228 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 19th, 2021
13:08 FDS-S2-01-2-7 Bootstrap confidence intervals FDS-S2-01-2-7 Bootstrap confidence intervals	FDS-S2-01-2-7 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 on January 15th, 2021 0 likes 181 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 2021
25:56 Distillation Lecture 5 2020 part 3 Distillation Lecture 5 2020 part 3	Distillation Lecture 5 2020 part 3 Distillation Lecture 5 2020 Activity coefficients: derivation from Gibbs free energy times term activity equation coefficients expression log minus parameter a1 moles values lot gibbs energy respect n1 fact form suffix From John Christy on December 31st, 2020 0 likes 48 plays 0 Course Code CHEE11023 Publisher John Christy Licence Type All rights reserved The University of Edinburgh Language English (British) Date Created December 31st, 2020

Search for tag: "coefficients"

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