## Tag: time series

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Econometric reflections from Analytics 2014

This post will violate the “what happens in Vegas stays in Vegas” rule, because last week I had the pleasure of attending and participating in the Analytics 2014 event there and want to share some of what I heard for those who couldn’t attend. I was joined by over 1,000

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A visual analysis of rising sea levels

In light of the recent reports that glaciers in Antarctica are melting, what SAS graphs might be useful in analyzing the data?... When floating sea ice melts (such as at the North Pole), it doesn't raise the sea level - but when ice on land melts (such as glaciers at

Learn SAS
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How to vectorize time series computations

Vector languages such as SAS/IML, MATLAB, and R are powerful because they enable you to use high-level matrix operations (matrix multiplication, dot products, etc) rather than loops that perform scalar operations. In general, vectorized programs are more efficient (and therefore run faster) than programs that contain loops. For an example

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How WAVELETS can help separate the signal from the noise

Wavelet analysis is an exciting and relatively new field of study that enables one to extract underlying patterns either from spatially varying or temporally varying data.  Pixel values representing the relative brightness and color that constitute an image are an example of spatially varying data, and daily variations of financial

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Using finite differences to estimate the maximum of a time series

Finding the maximum value of a function is an important task in statistics. There are three approaches to finding a maxima: When the function is available as an analytic expression, you can use an optimization algorithm to find the maxima. For example, in the SAS/IML language, you can use any

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A singular spectrum analysis of a temperature time series

Last week I blogged about how to construct a smoother for a time series for the temperature in Albany, NY from 1995 to March, 2012. I smoothed the data by "folding" the time series into a single "year" that contains repeated measurements for each day of the year. Experts in

Data Visualization
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