Dan Lakeland writes: I have some questions about some basic statistical ideas and would like your opinion on them: 1) Parameters that manifestly DON’T exist: It makes good sense to me to think about Bayesian statistics as narrowing in on the value of parameters based on a model and some data. But there are cases […]The post Bayes-respecting experimental design and other things appeared first on Statistical Modeling, Causal Inference,…