Posts Tagged ‘ Uncategorized ’

Distances between observations in two groups

September 28, 2016
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Distances between observations in two groups

Last week I showed how to find the nearest neighbors for a set of d-dimensional points. A SAS user wrote to ask whether something similar could be done when you have two distinct groups of points and you want to find the elements in the second group that are closest […] The post Distances between observations in two groups appeared first on The DO Loop.

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Create an ogive in SAS

September 26, 2016
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Create an ogive in SAS

My son is taking an AP Statistics course in high school this year. AP Statistics is one of the fastest-growing AP courses, so I welcome the chance to see topics and techniques in the course. Last week I was pleased to see that they teach data exploration techniques, such as […] The post Create an ogive in SAS appeared first on The DO Loop.

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Simulate data from a generalized Gaussian distribution

September 21, 2016
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Simulate data from a generalized Gaussian distribution

Although statisticians often assume normally distributed errors, there are important processes for which the error distribution has a heavy tail. A well-known heavy-tailed distribution is the t distribution, but the t distribution is unsuitable for some applications because it does not have finite moments (means, variance,...) for small parameter values. […] The post Simulate data from a generalized Gaussian distribution appeared first on The DO Loop.

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The distribution of nearest neighbor distances

September 19, 2016
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The distribution of nearest neighbor distances

Last week I showed how to compute nearest-neighbor distances for a set of numerical observations. Nearest-neighbor distances are used in many statistical computations, including the analysis of spatial point patterns. This article describes how the distribution of nearest-neighbor distances can help you determine whether spatial data are uniformly distributed or […] The post The distribution of nearest neighbor distances appeared first on The DO Loop.

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Compute nearest neighbors in SAS

September 14, 2016
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Compute nearest neighbors in SAS

Finding nearest neighbors is an important step in many statistical computations such as local regression, clustering, and the analysis of spatial point patterns. Several SAS procedures find nearest neighbors as part of an analysis, including PROC LOESS, PROC CLUSTER, PROC MODECLUS, and PROC SPP. This article shows how to find […] The post Compute nearest neighbors in SAS appeared first on The DO Loop.

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New features in imager 0.30

September 13, 2016
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New features in imager 0.30

imager is an R package for image processing, based on CImg. This new release brings many new features, including: Support for automatic parallel processing using OpenMP. A new S3 class, imlist, which makes it easy to work with image lists New functions for interactively selecting image regions (grabRect,grabPoint,grabLine) Experimental support for CImg’s byte-compiled DSL via […]

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Overlay a curve on a bar chart in SAS

September 12, 2016
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Overlay a curve on a bar chart in SAS

One of the strengths of the SGPLOT procedure in SAS is the ease with which you can overlay multiple plots on the same graph. For example, you can easily combine the SCATTER and SERIES statements to add a curve to a scatter plot. However, if you try to overlay incompatible […] The post Overlay a curve on a bar chart in SAS appeared first on The DO Loop.

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Several postdoc positions in probabilistic modeling and machine learning in Aalto, Helsinki

September 8, 2016
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This post is by Aki In addition to the postdoc position I advertised recently, now Aalto University and University of Helsinki have 20 more open postdoc and research fellow positions. Many of the positions are in probabilistic models and machine learning. You could work with me (I’m also part of HIIT), but I can also […] The post Several postdoc positions in probabilistic modeling and machine learning in Aalto, Helsinki…

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Coverage probability of confidence intervals: A simulation approach

September 8, 2016
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Coverage probability of confidence intervals: A simulation approach

The article uses the SAS DATA step and Base SAS procedures to estimate the coverage probability of the confidence interval for the mean of normally distributed data. This discussion is based on Section 5.2 (p. 74–77) of Simulating Data with SAS. What is a confidence interval? Recall that a confidence […] The post Coverage probability of confidence intervals: A simulation approach appeared first on The DO Loop.

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R demos for BDA3

September 6, 2016
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Last year we published some Matlab/Octave and Python demos for BDA3. During the summer my student Markus Paasiniemi ported these demos to R. New R BDA3 demos are now available in github. We hope these are helpful for someone. They are now just R code, although R Markdown would be cool. Btw. we are expecting […] The post R demos for BDA3 appeared first on Statistical Modeling, Causal Inference, and…

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