2354 search results for "time series"

The Non-parametric Bootstrap as a Bayesian Model

April 17, 2015
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The Non-parametric Bootstrap as a Bayesian Model

The non-parametric bootstrap was my first love. I was lost in a muddy swamp of zs, ts and ps when I first saw her. Conceptually beautiful, simple to implement, easy to understand (I thought back then, at least). And when she whispered in my ear, “I make no assumptions regarding the underlying distribution”, I was in love. This love...

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Recommending Recommender Systems When Preferences Are Not Driven By Simple Features

April 15, 2015
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Recommending Recommender Systems When Preferences Are Not Driven By Simple Features

Why does lifting out a slice make the pizza appear more appealing?We can begin our discussion with the ultimate feature bundle - pizza toppings. Technically, a menu would only need to list all the toppings and allow the customers to build their own piz...

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Animated paths in R: toy example

April 14, 2015
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Animated paths in R: toy example

Recently I have shared examples of animations made using R which feature traversal of pathways, specifically grid cell borders and great circle arcs. Here I provide the basic code required to generate a path sequence from a path. The fundamental ideas are as follows: Pathways are represented by lines. Lines are represented by a series

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The Logical Invest Enhanced Bond Rotation Strategy (And the Importance of Dividends)

April 7, 2015
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The Logical Invest Enhanced Bond Rotation Strategy (And the Importance of Dividends)

This post will display my implementation of the Logical Invest Enhanced Bond Rotation strategy. This is a strategy that indeed … Continue reading →

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Reader Morghulis

April 7, 2015
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Reader Morghulis

TL;DR: Memento mori. After reading too much Seneca, I’m meditating on death like a statistician, by counting how many of GRRM’s readers did not even survive to see the HBO show (much less the end of the book series). Rough … Continue reading →

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White Matter Segmentation in R

April 7, 2015
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White Matter Segmentation in R

Goals and Overall Approach We will use multiple packages and pieces of software for white matter (and gray matter/cerebro spinal fluid (CSF)) segmentation. The overall approach will be, with the required packages in parentheses: N4 Inhomogeneity Bias-Field Correction (extrantsr and ANTsR) Brain extraction using BET and additional tools (extrantsr and fslr) FAST for tissue-class segmentation.

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White Matter Segmentation in R

April 7, 2015
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White Matter Segmentation in R

Goals and Overall Approach We will use multiple packages and pieces of software for white matter (and gray matter/cerebro spinal fluid (CSF)) segmentation. The overall approach will be, with the required packages in parentheses: N4 Inhomogeneity Bias-Field Correction (extrantsr and ANTsR) Brain extraction using BET and additional tools (extrantsr and fslr) FAST for tissue-class segmentation.

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Part 4a: Modelling – predicting the amount of rain

April 6, 2015
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Part 4a: Modelling – predicting the amount of rain

In the fourth and last part of this series, we will build several predictive models and evaluate their accuracies. In Part 4a, our dependent value will be continuous, and we will be predicting the daily amount of rain. Then, in Part 4b, we will deal with the case of a binary outcome, which means we will assign probabilities to...

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The Logical Invest “Hell On Fire” Replication Attempt

April 6, 2015
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The Logical Invest “Hell On Fire” Replication Attempt

This post is about my replication attempt of Logical Invest’s “Hell On Fire” strategy — which is its Universal Investment … Continue reading →

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ANOVAs and Geomorph

April 1, 2015
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Within geomorph are several functions that perform analysis of variance (ANOVA), includingprocD.lm()procD.pgls()advanced.procD.lm()pairwiseD.test()pairwise.slope.test()trajectory,analysis()bilat.symmetry()plotAllometry() Inherent in all of these functions is a common philosophy for ANOVA (although other philosophies exist).  The geomorph ANOVA philosophy is that: (1) resampling (randomization) procedures are used to generate empirical sampling distributions to assess significance of effects, (2) effect sizes are estimated as standard deviates from such...

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