Bayesian Analysis of Experimental Data

Bayesian analysis of single-molecule experimental data

Recent advances in experimental technologies allow scientists to follow biochemical processes on a single-molecule basis, which provides much richer information about chemical dynamics than traditional ensemble-averaged experiments but also raises many new statistical challenges. The paper provides the first likelihood-based statistical analysis of the singlemolecule fluorescence lifetime exper...

Bayesian Prediction in Spatial Data Analysis

Teaching Bayesian Methods for Experimental Data Analysis

The innumerable articles denouncing the deficiencies of significance testing urge us to reform the teaching of statistical inference for experimental data analysis. Bayesian methods are a promising alternative. However, teaching the Bayesian approach should not introduce an abrupt changeover from the current frequentist procedures: at the very least, the two approaches should co-exist for many ...

Bayesian Analysis of Survival Data with Spatial Correlation

Often in practice the data on the mortality of a living unit correlation is due to the location of the observations in the study‎. ‎One of the most important issues in the analysis of survival data with spatial dependence‎, ‎is estimation of the parameters and prediction of the unknown values in known sites based on observations vector‎. ‎In this paper to analyze this type of survival‎, ‎Cox...

DISCUSSION OF Bayesian Analysis of Single Molecule Experimental Data

Bayesian inference with latent processes. The authors propose models that depend on unobserved stochastic processes, and that unsurprisingly complicates the computational analysis. There is a growing literature (for example in finance) on Bayesian inference with latent stochastic processes, and it would be interesting, in my view, to compare the approach used here with some of the alternative p...