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Let X | μ ∼ Np(μ, vxI) and Y | μ ∼ Np(μ, vyI) be independent p-dimensional multivariate normal vectors with common unknown mean μ, and let p(x|μ) and p(y |μ) denote the conditional densities of X and Y . Based on only observing X = x, we consider the problem of obtaining a predictive distribution p̂(y |x) for Y that is close to p(y |μ) as measured by(More)
Suppose we observe X ∼ Nm(Aβ, σI) and would like to estimate the predictive density p(y | β) of a future Y ∼ Nn(Bβ, σI). Evaluating predictive estimates p̂(y | x) by KullbackLeibler loss, we develop and evaluate Bayes procedures for this problem. We obtain general sufficient conditions for minimaxity and dominance of the “noninformative” uniform prior Bayes(More)
This paper presents the model of interleavers for the interleave-division multiple-access (IDMA) based on evolutionary algorithm. In all the previous works, interleavers are all generated independently and randomly which is simple but with good performance. Considered the difference between the model of interleavers and the traveling salesman problem(TSP),(More)
Matching is a powerful statistical tool in design and analysis. Conventional two-group, or bipartite, matching has been widely used in practice. However, its utility is limited to simpler designs. In contrast, nonbipartite matching is not limited to the two-group case, handling multiparty matching situations. It can be used to find the set of matches that(More)
Determining spatiotemporal gene expression and analyzing knockout mutant phenotypes have become powerful tools in elucidating the function of genes; however, genetic approaches for simultaneously inactivating a gene and monitoring its expression have not been reported in the literature. In this study, we designed a dual-functional gene knockout vector(More)
Let X|μ∼Np(μ,vxI ) and Y |μ∼Np(μ,vyI ) be independent p-dimensional multivariate normal vectors with common unknown mean μ. Based on only observing X = x, we consider the problem of obtaining a predictive density p̂(y|x) for Y that is close to p(y|μ) as measured by expected Kullback–Leibler loss. A natural procedure for this problem is the (formal) Bayes(More)
The achievable throughput of the entire cellular area is investigated, when employing fractional frequency reuse techniques in conjunction with realistically modelled imperfect optical fibre aided distributed antenna systems (DAS) operating in a multicell multiuser scenario. Given a fixed total transmit power, a substantial improvement of the cell-edge(More)