Does SLOPE outperform bridge regression?

Logistic Regression Slope Study

Does a Gibbs sampler approach to spatial Poisson regression models outperform a single site MH sampler?

In this paper we present and evaluate a Gibbs sampler for a Poisson regression model including spatial effects. The approach is based on Frühwirth-Schnatter and Wagner (2004b) who show that by data augmentation using the introduction of two sequences of latent variables a Poisson regression model can be transformed into an approximate normal linear model. We show how this methodology can be ext...

When Does a Pair Outperform Two Individuals?

This paper reports experimental measurements of productivity and quality in pair programming. The work complements Laurie Williams’ work on collaborative programming, in which Pair Programming and Solo Programming student groups wrote the same programs and then their activities were measured to investigate productivity, quality, etc. In this paper, Pair and Solo industrial programmer groups are...

Variational Bridge Regression

Here we obtain approximate Bayes inferences through variational methods when an exponential power family type prior is specified for the regression coefficients to mimic the characteristics of the Bridge regression. We accomplish this through hierarchical modeling of such priors. Although the mixing distribution is not explicitly stated for scale normal mixtures, we obtain the required moments ...

Robust and sparse bridge regression

It is known that when there are heavy-tailed errors or outliers in the response, the least squares methods may fail to produce a reliable estimator. In this paper, we proposed a generalized Huber criterion which is highly flexible and robust for large errors. We applied the new criterion to the bridge regression family, called robust and sparse bridge regression (RSBR). However, to get the RSBR...