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40:55 'Cognitive biases in hallucinations -… 'Cognitive biases in hallucinations - Inconsistent findings and suboptimal measurement practices', Dr David Smailes	'Cognitive biases in hallucinations - Inconsistent findings and suboptimal measurement practices', Dr David Smailes Several cognitive biases are thought to play a role in the development of hallucinations. Biases in source monitoring (where participants must determine whether stimuli were internal and/or… #psychiatry mvm lecture cognitive hallucinations source participants reliability misattributions task monitoring patients tasks experiences psychosis kind bias evidence paper studies things sample study thing From Bethany Anderson 0 likes 3 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created January 18th, 2023 Retain Source File Yes
56:33 'What has 20 years of imaging genetics… 'What has 20 years of imaging genetics taught us about the brain?', Prof David Glahn	'What has 20 years of imaging genetics taught us about the brain?', Prof David Glahn Dr. David Glahn is the Associate Chief for Research in the Department of Psychiatry at Boston Children’s Hospital and the Director of the Tommy Fuss Center for Neuropsychiatric Disease… #psychiatry mvm lecture imaging genetics sample questions paper brain question things effect gene space effects lot problem risk kinds studies level candidate genes From Bethany Anderson 0 likes 13 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created November 30th, 2022 Retain Source File Yes
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
33:15 AML: Model Selection - Statistical Tests AML: Model Selection - Statistical Tests	AML: Model Selection - Statistical Tests Applied Machine Learning - INFR11211 AML: Model Selection - Statistical Tests Part 2/2 aml machine learning model evaluation distribution hypothesis samples population sample difference variance things splits errors error dataset tests model student values significance test means statistics From Siddharth N 0 likes 200 plays 0 Course Code INFR11211 Licence Type All rights reserved The University of Edinburgh
07:39 Open science in experimental autism research: a … Open science in experimental autism research: a replication study of information transfer within and between autistic and non-autistic people, Crompton et al, 2022	Open science in experimental autism research: a replication study of information transfer within and between autistic and non-autistic people, Crompton et al, 2022 Information sharing depends on successful communication. Because autism is clinically defined by social communication deficits, autistic people may be expected to be less effective at sharing… open research eor conference poster study participants person communication diffusion chain storey half chains science autism sample replication participant method thoughts bit analysis groups point From Kerry Miller 0 likes 13 plays 0 Publisher Edinburgh Open Research Licence Type Creative Commons - Attribution Language English Date Created May 27th, 2022 Retain Source File Yes
41:20 Optimal Nonparametric Testing of Missing… Optimal Nonparametric Testing of Missing Completely At Random, and its Connections to Compatibility - Tom Berrett	Optimal Nonparametric Testing of Missing Completely At Random, and its Connections to Compatibility - Tom Berrett Structural Breaks and Shape Constraints Optimal Nonparametric Testing of Missing Completely At Random, and its Connections to Compatibility Tom Berrett (University of Warwick) 20 May 2022 icms distributions distribution problem hypothesis tests test cases patterns variables compatibility kind observation mcar incompatibility bit class power sense sample homework From Iain Cms 0 likes 26 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
33:20 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 80 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
41:51 A Theoretically Tractable Framework for K Fold… A Theoretically Tractable Framework for K Fold Cross Vaidation - Sabyasachi Chatterjee	A Theoretically Tractable Framework for K Fold Cross Vaidation - Sabyasachi Chatterjee Structural Breaks and Shape Constraints A Theoretically Tractable Framework for K Fold Cross Vaidation Sabyasachi Chatterjee (University of Illinois at Urbana-Champaign) 19 May 2022 icms lambda hat sample estimator risk cross completion prediction estimators validation lasso folds tuning error framework fold inequality predictions problem term From Iain Cms 0 likes 25 plays 0 Licence Type All rights reserved Language English Date Created May 23rd, 2022
43:52 Noisy Linear Inverse Problems Under Convex… Noisy Linear Inverse Problems Under Convex Constraints: Exact Risk Asymptotics in High Dimensions - Qiyang Han	Noisy Linear Inverse Problems Under Convex Constraints: Exact Risk Asymptotics in High Dimensions - Qiyang Han Structural Breaks and Shape Constraints Noisy Linear Inverse Problems Under Convex Constraints: Exact Risk Asymptotics in High Dimensions Qiyang Han (Rutgers University) 16 May 2022 icms risk model limit sample dimension function problem sequence signal problems regime bit size rate level tangent point squares constraint condition From Iain Cms 0 likes 98 plays 0 Licence Type All rights reserved Language English Date Created May 17th, 2022
19:27 RESULT_HIP Study Procedures_Data… RESULT_HIP Study Procedures_Data Collection_13May2022 with commentary.mp4	RESULT_HIP Study Procedures_Data Collection_13May2022 with commentary.mp4 A guide to study procesures and data collection for the RESULT-HIP trial. database consent study blood team trial log training sample patient patients participants capacity samples paper form sites randomization participant record From Gayle Beveridge 0 likes 110 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created May 16th, 2022
01:00:35 Learning mixtures and DNA copy-numbers from bulk… Learning mixtures and DNA copy-numbers from bulk sequencing of tumor samples	Learning mixtures and DNA copy-numbers from bulk sequencing of tumor samples Speaker: Brian Arnold, Senior Data Scientist, Princeton University. Abstract: As tumors expand, they evolve via the accumulation of copy-number aberrations (CNAs; amplifications or deletions… biomedical ai cdt copy tumour cells chromosome genome sample aberrations clones clusters hatchet cell mutations bins cancer reference copies sequencing cluster frequency depth From Isabelle Hanlon 0 likes 2 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created April 13th, 2022
49:00 Vinny Davies (University of Glasgow)… Vinny Davies (University of Glasgow) Computational Metabolomics as a game of Battleships	Vinny Davies (University of Glasgow) Computational Metabolomics as a game of Battleships 28 January 2022 Vinny Davies (University of Glasgow) Computational Metabolomics as a game of Battleships Liquid chromatography (LC) coupled to tandem mass spectrometry (MS/MS) is widely used in… icms statistics research kind ships ship sample method things methods battleships process mass strategy lot intensity bit bombs thing experiment bomb peak exclusion From Greg McCracken 0 likes 30 plays 0 Licence Type All rights reserved Language English Date Created January 28th, 2022
01:29:51 Stuart Anderson - Data, ML and AI Stuart Anderson - Data, ML and AI	Stuart Anderson - Data, ML and AI Controversies in the Data Society 2022 data artificial intelligence machine learning dependable computing things thing model kind features machine models lot moment point bit image cats james dogs systems sample bunch lots responsibility From James Stewart 0 likes 29 plays 0 Licence Type Creative Commons - Attribution Non Commercial No Derivatives Date Created January 21st, 2022
13:24 The Central Limit Theorem The Central Limit Theorem	The Central Limit Theorem Discrete Mathematics and Probability 2021/22 Week 11 Part 2 The Central Limit Theorem informatics dmp probability distribution variables deviation sample mu sigma bar variance samples limit root distributions n. epsilon law population total times x1 From Ian Stark 0 likes 281 plays 0 Course Code INFR08031 Publisher Ian Stark — The University of Edinburgh Licence Type Creative Commons - Attribution No Derivatives Language English Date Created November 25th, 2021
16:21 REBM Week 8 - Part b) REBM Week 8 - Part b)	REBM Week 8 - Part b) This is Part b) of a series of two recorded lectures on the theme The independent samples t-test: Engaging with theory and practice. independent samples t-test levene's test spss test hypothesis variances groups samples population interval confidence normality evidence level sample point means difference places percent size form solution From Margaret MacDougall 0 likes 121 plays 0 Publisher Margaret MacDougall Date Created November 9th, 2021
54:38 Aretha Teckentrup (Edinburgh) - Surrogate models… Aretha Teckentrup (Edinburgh) - Surrogate models in Bayesian inverse problems	Aretha Teckentrup (Edinburgh) - Surrogate models in Bayesian inverse problems This recording is in the process of being subtitled. We aim to have edited captions available within 2 weeks of publishing. 18 October 2021 Aretha Teckentrup (Edinburgh) - Surrogate models in… owna icms one world phi distribution likelihood approximation model problem methods function sigma models process norm inverse sample 5'-end log things kind observation probability From Greg McCracken 0 likes 54 plays 0 Licence Type All rights reserved Language English Date Created October 18th, 2021

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