Statistical inference as a formal scientific method to covert experience...
The framework of Inferential Models (IMs) has recently been developed in...
Inferential models have been proposed for valid and efficient prior-free...
It is realized that existing powerful tests of goodness-of-fit are all b...
Assessing goodness-of-fit is challenging because theoretically there is ...
Inference about the unknown means θ=(θ_1,...,θ_n)' ∈ℝ^n in the sampling ...
From a model-building perspective, in this paper we propose a paradigm s...
The inferential model (IM) framework produces data-dependent, non-additi...
The family of Expectation-Maximization (EM) algorithms provides a genera...
Bayesian methods are useful for statistical inference. However, real-wor...