1285 search results for "LaTex"

Model Scale Parameterization for MCMC Efficiency

August 1, 2013
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Model Scale Parameterization for MCMC Efficiency

I recently came across a very interesting paper by Y. Yu and X. Meng who present an interweaving strategy between different model parameterizations to improve mixing. It is well known that different model parameterizations can perform better than others under certain conditions. Papaspiliopoulos, Roberts and Sköld present a general framework for how to parameterize The post Model...

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Measuring Bias in Published Work

July 31, 2013
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Measuring Bias in Published Work

In a series of previous posts, I’ve spent some time looking at the idea that the review and publication process in political science—and specifically, the requirement that a result must be statistically significant in order to be scientifically notable or publishable—produces a very misleading scientific literature. In short, published studies of some relationship will tend

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Measuring Bias in Published Work

July 31, 2013
By
Measuring Bias in Published Work

In a series of previous posts, I’ve spent some time looking at the idea that the review and publication process in political science—and specifically, the requirement that a result must be statistically significant in order to be scientifically notable or publishable—produces a very misleading scientific literature. In short, published studies of some relationship will tend

Read more »

Trivial, but useful: sequences with defined mean/s.d.

July 31, 2013
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Trivial, but useful: sequences with defined mean/s.d.

O.k., the following post may be (mathematically) trivial, but could be somewhat useful for people that do simulations/testing of statistical methods. Let’s say we want to test the dependence of p-values derived from a t-test to a) the ratio of means between two groups, b) the standard deviation or c) the sample size(s) of the

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Exploratory Data Analysis: Combining Histograms and Density Plots to Examine the Distribution of the Ozone Pollution Data from New York in R

Exploratory Data Analysis: Combining Histograms and Density Plots to Examine the Distribution of the Ozone Pollution Data from New York in R

Introduction This is a follow-up post to my recent introduction of histograms.  Previously, I presented the conceptual foundations of histograms and used a histogram to approximate the distribution of the “Ozone” data from the built-in data set “airquality” in R.  Today, I will examine this distribution in more detail by overlaying the histogram with parametric

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The Secrets of Inverse Brogramming, reprise

July 27, 2013
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The Secrets of Inverse Brogramming, reprise

Brogramming is the art of looking good while you write code. Inverse brogramming is a silly term that I’m trying to coin for the opposite, but more important, concept: the art of writing good looking code. At useR2013 I gave a talk on inverse brogramming in R – for those of you who weren’t there

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shinyPsychometric: simulating how experimental choices affect results uncertainty

July 25, 2013
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shinyPsychometric: simulating how experimental choices affect results uncertainty

In the R community, Shiny is trending a lot. Shiny is an R package for developing interactive web applications. I wanted to give it a try, and ended up with an app to simulate the impact of data collection choices on the outcome reliability of a curve fitting process. I wrote the code behind it

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Electricity Usage in a High-rise Condo Complex pt 4

July 24, 2013
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Electricity Usage in a High-rise Condo Complex pt 4

This is the fourth article in the series, where the techiness builds to a crescendo. If this is too statistical/programming geeky for you, the next posting will return to a more investigative and analytical flavor. Last time, we looked at … Continue reading →

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BCEs0

July 20, 2013
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BCEs0 is the new R package I've written $-$ well, nearly finished to, anyway; it should be ready in version 1.0 in the next few days. The acronym stands for Bayesian models for Cost-Effectiveness with structural 0s, and it basically implements the mode...

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Optimising a Noisy Objective Function

July 16, 2013
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Optimising a Noisy Objective Function

I am busy with a project where I need to calibrate the Heston Model to some Asian options data. The model has been implemented as a function which executes a Monte Carlo (MC) simulation. As a result, the objective function is rather noisy. There are a number of algorithms for dealing with this sort of problem, and

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