This talk addresses consider the design of a binary minimax test without the symmetry assumption on the nominal conditional probability densities of observations when the nominal likeli-hood ratio is
Profiles characterize the functional relationship between the response variable and one or more explanatory variables and have been playing an important role in many applications.
Multivariate linear regression analysis is one of the most useful techniques in statistical science.The technique is widely used in chemometrics,econometrics,financial engineering,ge-netics,psychometr
In this paper,we propose double-layer sliced Latin hypercube design(DSLHD),in which not only the whole design is an SLHD(the first layer),but also all its slices are small SLHDs(the second layer).
In this talk,I will introduce a motivating example of studying the causal mechanisms for the effect of socioeconomic inequalities on child mortality and whether or not this is mediated through prenata
Continuing efforts from large international consortia have made genome-wide epigenomic and transcriptomic annotation data publicly available for a variety of cell and tissue types.
The causal effect is hard to estimate because of the existence of the confounder.Under the effective controlling of the necessary confounder,the causal effect is identifiable.
When learning a directed acyclic graph(DAG)model via observational data,one generally cannot identify the underlying DAG,but can potentially obtain a Markov equivalence class.
Traditional variable selection methods face serious limitations by overlooking useful information on biomarkers with similar functionality or spatial proximity,and by treating each covariate independe