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SC505 STOCHASTICPROCESSES ClassNotes c Prof. D.Casta˜ non&Prof.W.ClemKarl Dept.ofElectricalandComputerEngineering BostonUniversity CollegeofEngineering 8St. Mary’sStreet…

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1. Vibration-Based Damage Detection Using Unsupervised Support Vector MachineChing-Huei Tsou1 and John R. Williams2{tsou, jrw}@mit.eduAbstract:Vibration-based damage detection…

Documents Growth Curve Models (being revised) Thanks due to Betsy McCoach David A. Kenny August 26, 2011.

Slide 1Growth Curve Models (being revised) Thanks due to Betsy McCoach David A. Kenny August 26, 2011 Slide 2 2 Overview Introduction Estimation of the Basic Model Nonlinear…

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Documents PARTICLE LEARNING A semester later Hedibert Freitas Lopes February 19 th 2009.

Slide 1PARTICLE LEARNING A semester later Hedibert Freitas Lopes February 19 th 2009. Slide 2 Group meetings Discussion of Storvik and Liu and West (LW) papers Creation of…

Documents Machine Learning for Vision-Based Motion Analysis Learning pullback metrics for linear models Oxford...

Slide 1Machine Learning for Vision-Based Motion Analysis Learning pullback metrics for linear models Oxford Brookes Vision Group Oxford Brookes University 17/10/2008 Fabio…

Documents Time Series Analysis Negar Koochakzadeh. Outline Introduction: Time Series Data Stationary /...

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Slide 1Autoregressive Integrated Moving Average (ARIMA) models 1 Slide 2 2 - Forecasting techniques based on exponential smoothing -General assumption for the above models:…

Documents Chap 16-1 Copyright ©2012 Pearson Education, Inc. publishing as Prentice Hall Chap 16-1 Chapter 16....

Slide 1Chap 16-1 Copyright ©2012 Pearson Education, Inc. publishing as Prentice Hall Chap 16-1 Chapter 16 Time-Series Forecasting Basic Business Statistics 12 th Edition…

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Slide 1Dynamic Factor Analysis Ellen L. Hamaker Methods and Statistics Faculty of Social Sciences Utrecht University The Netherlands Slide 2 Outline i.Introduction ii.Time…