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07/21/2020
Relations between networks, regression, partial correlation, and latent variable model
The Gaussian graphical model (GGM) has become a popular tool for analyzi...
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07/11/2020
Reliability of decisions based on tests: Fourier analysis of Boolean decision functions
Items in a test are often used as a basis for making decisions and such ...
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05/27/2019
Intervention in undirected Ising graphs and the partition function
Undirected graphical models have many applications in such areas as mach...
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11/07/2018
Interpreting the Ising Model: The Input Matters
The Ising model is a widely used model for multivariate binary data. It ...
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10/17/2018
Combine Statistical Thinking With Scientific Practice: A Protocol of a Bayesian Thesis Project For Undergraduate Students
Current developments in the statistics community suggest that modern sta...
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08/12/2018
An Asymptotically Efficient Metropolis-Hastings Sampler for Bayesian Inference in Large-Scale Educational Measuremen
This paper discusses a Metropolis-Hastings algorithm developed by Marsma...
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07/28/2018
Logistic regression and Ising networks: prediction and estimation when violating lasso assumptions
The Ising model was originally developed to model magnetisation of solid...
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12/19/2017