'Matrix r' presentation slideshows

Lecture 3 Linear random intercept models

Lecture 3 Linear random intercept models. Example: Weight of Guinea Pigs Body weights of 48 pigs in 9 successive weeks of follow-up (Table 3.1 DLZ)

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The General Linear Model (GLM)

The General Linear Model (GLM). Klaas Enno Stephan Laboratory for Social & Neural Systems Research Institute for Empirical Research in Economics University of Zurich Functional Imaging Laboratory (FIL) Wellcome Trust Centre for Neuroimaging University College London.

421 views • 31 slides

421 views • 29 slides

Graham Hesketh Information Engineering Group Rolls-Royce Strategic Research Centre

Kalman Filters for Fun. Graham Hesketh Information Engineering Group Rolls-Royce Strategic Research Centre. Basic Kalman Filter Equations. Prediction. Updating (correction). Definitions. System state: mean estimate. x - vector of size q e.g. for a single channel,

352 views • 25 slides

Performance Analysis of MIMO Systems with IRM

Performance Analysis of MIMO Systems with IRM. By Junwu Zhang Xuefeng Zhao Bin Xue. Multiple-Input Multiple-Output(MIMO)?. The use of multiple antennas at both ends of a wireless link promise significant improvements in terms of spectral efficiency.

423 views • 23 slides

TD-Learning

TD-Learning. Shiqi Zhang AI class in Texas Tech, 2010 fall Adapted from Kainan University, Taiwan. Model is given?. We say model is given when the conditional probabilities are known in all states Model-based: trying to find R and T, and use them to get the value function

334 views • 19 slides

Inverse Regression Methods

Inverse Regression Methods. Prasad Naik 7 th Triennial Choice Symposium Wharton, June 16, 2007. Outline. Motivation Principal Components (PCR) Sliced Inverse Regression (SIR) Application Constrained Inverse Regression (CIR) Partial Inverse Regression (PIR) p > N problem

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Section 5.5

245 views • 11 slides