Bayesian

Bayesian statistics blogs

Data frames and tables in Scala

August 21, 2015
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Data frames and tables in Scala

Introduction To statisticians and data scientists used to working in R, the concept of a data frame is one of the most natural and basic starting points for statistical computing and data analysis. It always surprises me that data frames aren’t a core concept in most programming languages’ standard libraries, since they are essentially a … Continue reading Data frames and tables in Scala

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A case in which metric data are better analyzed by an ordinal model

August 17, 2015
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A case in which metric data are better analyzed by an ordinal model

Here we consider some data that might have been smoothly distributed over a metric scale, but ended up being concentrated on only a few values. The usual treatment of the data as normally or t-distributed is not appropriate, and instead the data are bi...

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Calling R from Scala sbt projects using rscala

August 15, 2015
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Calling R from Scala sbt projects using rscala

Overview In the previous post I showed how the rscala package (which has replaced the jvmr package) can be used to call Scala code from within R. In this post I will show how to call R from Scala code. I have previously described how to do this using jvmr. This post is really just … Continue reading Calling R from Scala sbt projects using rscala

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Calling Scala code from R using rscala

August 15, 2015
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Calling Scala code from R using rscala

Introduction In a previous post I looked at how to call Scala code from R using a CRAN package called jvmr. This package now seems to have been replaced by a new package called rscala. Like the old package, it requires a pre-existing Java installation. Unlike the old package, however, it no longer depends on … Continue reading Calling Scala code from R using rscala

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On radical manuscript openness

August 10, 2015
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On radical manuscript openness

One of my papers that has attracted a lot of attention lately is "The Fallacy of Placing Confidence in Confidence Intervals," in which we describe some of the fallacies held by the proponents and users of confidence intervals. This paper has been discu...

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Bayesian meta-analysis provides high-precision estimate of cosmic impact event at ~12,800 years before 1950

August 3, 2015
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Bayesian meta-analysis provides high-precision estimate of cosmic impact event at ~12,800 years before 1950

A recently published article in PNAS reports a Bayesian meta-analysis of data from 354 samples from 23 geological sites on 4 continents, yielding a 95% credible interval from 12,835 to 12,735 years before 1950 for the cosmic impact event that formed th...

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Laplace is visited by Doing Bayesian Data Analysis

July 25, 2015
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Laplace is visited by Doing Bayesian Data Analysis

After a post from almost two years ago inviting folks to pose the book with famous Bayesians or non-Bayesians (deceased or not), the book has finally visited a monument to Laplace! Shown below (scroll down) are photos kindly taken by Carlos Ungil. Than...

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Call for papers: Bayesian statistics, at Zeitschrift für Psychologie

May 26, 2015
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I am guest editing a special topical issue of Zeitschrift für Psychologie on Bayesian statistics. The complete call, with details, can be found here: [pdf]. Briefly:As Bayesian statistics become part of standard analysis in psychology, the Zeitschrift...

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The Bayesian New Statistics: Two Historical Trends Converge

May 14, 2015
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The Bayesian New Statistics: Two Historical Trends Converge

If not null hypothesis significance testing, then what? If not p values, then confidence intervals? If not NHST, then Bayes factors? Both? Neither? These issues are addressed in a new manuscript titled The Bayesian New Statistics: Two Historical Trends...

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Visualizing statistical distributions with javascript

May 10, 2015
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Visualizing statistical distributions with javascript

For the past few years, I've been developing and using a library I created that allows me to easily generate visualizations of statistical distributions for teaching. One can specify a distribution along with a parametrization, and the library sees it ...

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