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2018科学发现高性能计算和数据科学研讨会（Workshop on HPC and Data Science for Scientific Discovery）
2018 科学发现高性能计算和数据科学 研讨会
2017/12/20
With the gradual establishment of computational science as the “third pillar of science” over the last few decades, it has been steadily moving from a supporting towards a leading role. HPC applicatio...
Adapting to Unknown Sparsity by controlling the False Discovery Rate
Thresholding Wavelet Denoising Minimax Estimation
2015/8/21
We attempt to recover a high-dimensional vector observed in white noise, where
the vector is known to be sparse, but the degree of sparsity is unknown. We consider
three di®erent ways of deˉnin...
Asymptotic Minimaxity of False Discovery Rate Thresholding for Sparse Exponential Data
Minimax Decision theory Minimax Bayes estimation
2015/8/21
Control of the False Discovery Rate (FDR) is a recent innovation in multiple hypothesis
testing, allowing the user to limit the fraction of rejected null hypotheses which correspond to
false rejecti...
Modern scientific technology is providing a new class of large-scale simultaneous
inference problems, with hundreds or thousands of hypothesis tests to consider at the
same time. Microarrays e...
False Discovery Rates and Copy Number Variation
False discovery rate multiple testing grouped hypotheses
2015/8/20
Copy number changes, the gains and losses of chromosome segments, are a common type
of genetic variation among healthy individuals as well as an important feature in tumor
genomes. Microarray techno...
The discovery of 139 Child Non-syndromic Intellectual Disability associated genetic copy number variation loci with biological insights
Gene copy biological
2014/12/5
Intellectual disability (ID) is a highly heritable mental disease. Especially, the
underlying molecular mechanism of non-syndromic intellectual disability (NSID), a
subtype of ID with no ...
Compressed Neighbor Discovery for Wireless Networks
Compressed Neighbor Discover Wireless Networks
2011/3/2
This paper studies the problem of neighbor discovery in wireless networks, namely, each node wishes to discovery and identify the network interface address (NIA) of those nodes within a single hop.
Closed-set-based Discovery of Representative Association Rules Revisited
Closed-set-based Discovery Representative Association Rules Revisited
2011/3/2
The output of an association rule miner is often huge in practice.This is why several concise lossless representations have been proposed, such as the “essential” or “representative” rules.
Control of the False Discovery Rate Under Arbitrary Covariance Dependence
Rate Covariance Dependence
2011/1/4
Multiple hypothesis testing is a fundamental problem in high dimensional inference, with wide applications in many scientific fields. In genome-wide association studies, tens of thousands of tests are...
The limit of the statistic R/P in models of oil discovery and production
modeling oil production
2010/9/17
When assessing the oil reserves of a given region, often the statistic S = R/P is used, where R denotes the amount of proven reserves in the region and P is the current rate of production. This statis...