PPT-Contrasts & Inference

Contrasts amp Inference EEG amp MEG Himn Sabir 1 Topics 1 st level analysis 2 nd level analysis SpaceTime SPMs Timefrequency analysis Conclusion 2 Voxel Space 3 revisited 2D scalp projection. . A School Leader’s Guide for Improvement. 1. Georgia Department of Education . Dr. John D. Barge, State School Superintendent . All Rights Reserved. The Purpose of this Module is to…. p. rovide school leaders an opportunity to strengthen their understanding of low inference feedback.. 1. Inferior parietal involvement in long term memory. There is a hypothesis that different brain regions are recruited during recall processes. A distinction between recognition -> I remember details of learning how to calculate contrasts, like who taught me and why. and familiarity -> I have a vague notion that contrasts were described to me at some point.. Rahul Sharma and Alex Aiken (Stanford University). 1. Randomized Search. x. = . i. ;. y = j;. while . y!=0 . do. . x = x-1;. . y = y-1;. if( . i. ==j ). assert x==0. No!. Yes!.  . 2. Invariants. Protocols for Coreference Resolution. . . Kai-Wei Chang, Rajhans Samdani. , . Alla Rozovskaya, Nick Rizzolo, Mark Sammons. , and Dan Roth. . Chris . Mathys. Wellcome Trust Centre for Neuroimaging. UCL. SPM Course. London, May 11, 2015. Thanks to Jean . Daunizeau. and . Jérémie. . Mattout. for previous versions of this talk. A spectacular piece of information. Suhas Lohit, . Kuldeep. Kulkarni, . Pavan. . Turaga. ,. . Jian Wang, . Aswin. . Sankaranarayanan. Arizona . State . University. . Carnegie Mellon University. STOP!. Notice and Note. Signpost One– . Contrasts and . Contradictions. WHY USE IT? To examine how and why a character is changing in a story, developing over time.. STOP!. Notice and Note. When you . Daniel R. Schlegel and Stuart C. Shapiro. Department of Computer Science and Engineering. University at Buffalo, The State University of New York. Buffalo, New York, USA. <. drschleg,shapiro. >@buffalo.edu. Susan Athey, Stanford GSB. Based on joint work with Guido Imbens, Stefan Wager. References outside CS literature. Imbens and Rubin Causal Inference book (2015): synthesis of literature prior to big data/ML. Warm up. Share your picture with the people at your table group.. Make sure you have your Science notebook, agenda and a sharpened pencil. use tape to put it in front of your table of contents. Describe the difference between observations and inferences. 1. Contrasts, notation. ….. For a . One-way . ANOVA, a contrast is a specific comparison of Treatment group means. Contrast constants are composed to test a specific hypothesis related to Treatment means based upon some prior information about the Treatment groups. For k treatment groups, contrast constants are a sequence of numbers . A PRIORI . OR PLANNED CONTRASTS. ANOVA. ANOVA is used to compare means. . However, if a difference is detected, and more than two means are being compared, . ANOVA cannot tell you . where the difference lies.. Roy Harris & Caroline Charpentier. Outline. What is ‘. 1st level analysis. ’?. The Design matrix . What are we testing for?. What do all the black lines mean?. What do we need to include?. Contrasts. in characters . The big question: “Aunty Ifeoma is a deliberate foil to Mama in Purple Hibiscus” Explore this with reference to examples of how she contrasts with the behaviour of the mother.. Success Criteria: .