Item Response Theory(IRT)models represent a well-known instrument to measure latent variables on the basis of the observed responses to a set of items.In their original formulation IRT models assume t
This talk gives an overview of the Q-matrix based diagnostic classification models and the associated statistical inference arising from analysis of item response data.Attention will be given to model
Multi-Regional Clinical Trials(MRCTs)have been already common practice for the global simultaneous development of new drugs,and to design and analyze a MRCT is the key for successful simultaneous appr
The negative binomial(NB)distribution is commonly used to model count data in many areas of research.We use a parametric hierarchical empirical Bayes(EB)approach for estimating the parameters of(NB)ge
We present theoretical work on the existence of second order isotropic stochastic processes and non-homogeneous spatial point processes defined on the edges and the vertices of a graph.The edges of su
In this note we provide a simple framework to study Z-estimators in high dimensions.Of interest is the setting where the number of parameters p < n increases with the sample size n.As the main result,
This paper proposes a robust data-driven method for inferring the structural changes of multiple graphs.It is motivated by studies of brain structural evolvement from resting-state functional magnetic