'Smoothing parameter' presentation slideshows

Econ 240 C

1. Econ 240 C. Lecture 14. Part I: Exponential Smoothing. Exponential smoothing is a technique that is useful for forecasting short time series where there may not be enough observations to estimate a Box-Jenkins model

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Introduction to Smoothing Splines

Introduction to Smoothing Splines. Tongtong Wu Feb 29, 2004. Outline. Introduction Linear and polynomial regression, and interpolation Roughness penalties Interpolating and Smoothing splines Cubic splines Interpolating splines Smoothing splines Natural cubic splines

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Forecasting

442 views • 23 slides

Mining for Low Abundance Transcripts in Microarray Data

Mining for Low Abundance Transcripts in Microarray Data. Yi Lin 1 , Samuel T. Nadler 2 , Hong Lan 2 , Alan D. Attie 2 , Brian S. Yandell 1,3 1 Statistics, 2 Biochemistry, 3 Horticulture, University of Wisconsin-Madison. Key Issues. differential gene expression using mRNA chips

335 views • 23 slides

NR505 GIS Applications in Wildlife Sciences

346 views • 21 slides

Extracting the Cyclical Component from Australian Multi-Factor Productivity

Extracting the Cyclical Component from Australian Multi-Factor Productivity. Mark Zhang Lewis Conn. Background. The Australian Bureau of Statistics (ABS) produces two measures of Multi-Factor Productivity (MFP) growth Growth between adjacent years

402 views • 20 slides

Smoothing Splines Penalized Splines

Smoothing Splines Penalized Splines. 1. Smoothing Splines. Roughness of a function. Limit the Roughness. Smoothing Spline Criterion. General Order Smoothing Spline. Cubic Smoothing Spline. Cubic Smoothing Spline. The Cubic Smoothing Spline Smoother. Choice of the smoothing parameter.

238 views • 16 slides