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作者：Fattorini, Lorenzo; Franceschi, Sara; Marcheselli, Marzia; Pisani, Caterina; Pratelli, Luca
作者单位：University of Siena
摘要：The estimation of a surface throughout a continuum of points in a study area is addressed by means of two-phase sampling strategies. To this aim, a family of two-phase inverse distance weighting interpolators is introduced, and their design-based asymptotic properties are derived when the surface remains fixed and the number of sample points approaches infinity. In particular, conditions ensuring asymptotic unbiasedness and consistency are derived and are proven to hold for some of the most wi...
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作者：Lim, David K.; Rashid, Naim U.; Ibrahim, Joseph G.
作者单位：University of North Carolina; University of North Carolina Chapel Hill; University of North Carolina School of Medicine
摘要：Clustering is a form of unsupervised learning that aims to uncover latent groups within data based on similarity across a set of features. A common application of this in biomedical research is in delineating novel cancer subtypes from patient gene expression data, given a set of informative genes. However, it is typically unknown a priori what genes may be informative in discriminating between clusters and what the optimal number of clusters are. Few methods exist for performing unsupervised ...
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作者：Liu, Xueying; Carter, Jeremy; Ray, Brad; Mohler, George
作者单位：Purdue University System; Purdue University; Purdue University in Indianapolis; Indiana University System; Indiana University Indianapolis
摘要：Opioid overdose rates have increased in the United States over the past decade and reflect a major public health crisis. Modeling and prediction of drug and opioid hotspots, where a high percentage of events fall in a small percentage of space-time, could help better focus limited social and health services. In this work we present a spatial-temporal point process model for drug overdose clustering. The data input into the model comes from two heterogeneous sources: (1) high volume emergency m...
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作者：Tai, An-Shun; Tseng, George C.; Hsieh, Wen-Ping
作者单位：National Tsing Hua University; Pennsylvania Commonwealth System of Higher Education (PCSHE); University of Pittsburgh
摘要：Gene expression deconvolution is a powerful tool for exploring the microenvironment of complex tissues comprised of multiple cell groups using transcriptomic data. Characterizing cell activities for a particular condition has been regarded as a primary mission against diseases. For example, cancer immunology aims to clarify the role of the immune system in the progression and development of cancer through analyzing the immune cell components of tumors. To that end, many deconvolution methods h...
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作者：Dai, Chenguang; Chan, Duo; Huybers, Peter; Pillai, Natesh
作者单位：Harvard University; Harvard University
摘要：Accurate estimates of historical changes in sea surface temperatures (SSTs) and their uncertainties are important for documenting and understanding historical changes in climate. A source of uncertainty that has not previously been quantified in historical SST estimates stems from position errors. A Bayesian inference framework is proposed for quantifying errors in reported positions and their implications on SST estimates. The analysis framework is applied to data from the International Compr...
