'Squared difference' presentation slideshows

Alternatives to Difference Scores: Polynomial Regression and Response Surface Methodology

Alternatives to Difference Scores: Polynomial Regression and Response Surface Methodology. Jeffrey R. Edwards University of North Carolina. Outline. Types of Difference Scores Questions Difference Scores Are Intended To Address Problems With Difference Scores An Alternative Procedure

1.56k views • 130 slides

Image Registration John Ashburner

Image Registration John Ashburner. Pre-processing Overview. Statistics or whatever. fMRI time-series. Template. Anatomical MRI. Smoothed. Estimate Spatial Norm. Motion Correct. Smooth. Coregister. Spatially normalised. Deformation. Contents. Preliminaries Smooth

655 views • 65 slides

Image Registration John Ashburner

Image Registration John Ashburner. Smooth Realign Normalise Segment. With slides by Chloe Hutton and Jesper Andersson. Overview of SPM Analysis. Statistical Parametric Map. Design matrix. fMRI time-series. Motion Correction. Smoothing. General Linear Model. Parameter Estimates.

567 views • 55 slides

Cluster Analysis

Cluster Analysis. Grouping Cases or Variables. Clustering Cases. Goal is to cluster cases into groups based on shared characteristics. Start out with each case being a one-case cluster. The clusters are located in k-dimensional space, where k is the number of variables.

771 views • 36 slides

Contingency Tables (cross tabs)

571 views • 32 slides

fMRI Preprocessing John Ashburner

fMRI Preprocessing John Ashburner. Contents. Preliminaries Rigid-Body and Affine Transformations Optimisation and Objective Functions Transformations and Interpolation Within Subject: Realignment & Coregistration Between Subject: Spatial Normalisation & Smoothing.

460 views • 32 slides

Statistics in Science

Statistics in Science. Use multiple samples. In science the more test subjects, the better! (You will get your most accurate results with huge test groups) EX: I am testing the affects of G atorade on the growth of tomato plants:

301 views • 24 slides

Collaborative Filtering

Collaborative Filtering. Mustafa Cavdar Neslihan Bulut. Outline. Definition Problem Space Neighborhood based methods Experiments Weighting Possible Neighbors Selecting Neighborhoods Producing a Prediction Conclusions Future Work. Automated Collaborative Filtering.

360 views • 19 slides

Data Modeling and Least Squares Fitting 2

Data Modeling and Least Squares Fitting 2. COS 323. Nonlinear Least Squares. Some problems can be rewritten to linear Fit data points (x i , log y i ) to a * +bx, a = e a* Big problem: this no longer minimizes squared error!. Nonlinear Least Squares.

368 views • 19 slides

Estimation and Testing For Dominance Relations

235 views • 12 slides

Nelson-Siegel- Svensson model: application for Swedish government bonds

Nelson-Siegel- Svensson model: application for Swedish government bonds. MMA 708 - Analytical Finance II Teacher: Jan Roman He Bo Ashot Khalatyan Omogunloye Oluwasanmi. Introduction .

1.28k views • 8 slides