Bayesian

Bayesian statistics blogs

Interpreting Bayesian posterior distribution of a parameter: Is density meaningful?

February 19, 2017
By
Interpreting Bayesian posterior distribution of a parameter: Is density meaningful?

Background: Suppose a researcher is interested in the Bayesian posterior distribution of a parameter, because the parameter is directly meaningful in the research domain. This occurs, for example, in psychometrics. Specifically, in item response theory...

Read more »

Equivalence testing (two one-sided test) and NHST compared with HDI and ROPE

February 16, 2017
By
Equivalence testing (two one-sided test) and NHST compared with HDI and ROPE

In this blog post I show that frequentist equivalence testing (using the procedure of two one-sided tests: TOST) with null hypothesis significance testing (NHST) can produce conflicting decisions for the same parameter values, that is, TOST can accept ...

Read more »

The Bayesian New Statistics – finally published

February 8, 2017
By
The Bayesian New Statistics – finally published

The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective.Abstract: In the practice of data analysis, there is a conceptual distinction between hypothesis testing, on the one hand, and es...

Read more »

A quick introduction to Apache Spark for statisticians

February 8, 2017
By
A quick introduction to Apache Spark for statisticians

Introduction Apache Spark is a Scala library for analysing "big data". It can be used for analysing huge (internet-scale) datasets distributed across large clusters of machines. The analysis can be anything from the computation of simple descriptive statistics associated with the datasets, through to rather sophisticated machine learning pipelines involving data pre-processing, transformation, nonlinear model … Continue reading A quick introduction to Apache Spark for statisticians

Read more »

Courses doing Bayesian data analysis, June 2017

January 29, 2017
By
Courses doing Bayesian data analysis, June 2017

Choose from two multi-day workshops doing Bayesian data analysis in June, 2017:2017 June 20 - 23. Four-day course. Interuniversity Consortium for Political and Social Research (ICPSR), Ann Arbor, Michigan. 2017 June 5 - 9. Five-day course. Stats Camp, ...

Read more »

Books on Scala for statistical computing and data science

December 22, 2016
By
Books on Scala for statistical computing and data science

Introduction People regularly ask me about books and other resources for getting started with Scala for statistical computing and data science. This post will focus on books, but it’s worth briefly noting that there are a number of other resources available, on-line and otherwise, that are also worth considering. I particularly like the Coursera course … Continue reading Books on Scala for statistical computing and data science

Read more »

Scala for Data Science [book review]

December 22, 2016
By
Scala for Data Science [book review]

This post will review the book: Scala for Data Science, Bugnion, Packt, 2016. Disclaimer: This book review has not been solicited by the publisher (or anyone else) in any way. I purchased the review copy of this book myself. I have not received any benefit from the writing of this review. Introduction On this blog … Continue reading Scala for Data Science [book review]

Read more »

Bayesian assessment of null values

December 21, 2016
By
Bayesian assessment of null values

A blog post by Christian Robert considered an ancient (2011!) article titled "Bayesian assessment of null values via parameter estimation and model comparison." Here I'll try to clarify the ideas from way back then through the lens of more recent diagr...

Read more »

Working with SBML using Scala

December 17, 2016
By
Working with SBML using Scala

Introduction The Systems Biology Markup Language (SBML) is an XML-based format for representation and exchange of biochemical network models. SBML is supported by most systems biology modelling tools, allowing the export of a model in SBML from one tool and then reading in another tool. Because it offers a standard way of representing biochemical networks … Continue reading Working with SBML using Scala

Read more »

The Bayesian New Statistics: Hypothesis Testing, Estimation, Meta-Analysis, and Power Analysis from a Bayesian Perspective

December 16, 2016
By
The Bayesian New Statistics: Hypothesis Testing, Estimation, Meta-Analysis, and Power Analysis from a Bayesian Perspective

UPDATE: Now published, see this post.Two conceptual distinctions in the practice of data analysis. Rows show point-value hypothesis testing versus estimating magnitude with uncertainty. Columns show frequentist versus Bayesian methods. Cells indicate t...

Read more »


Subscribe

Email:

  Subscribe