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作者：Pagendam, Dan; Baldock, Jeff; Clifford, David; Farquharson, Ryan; Murray, Lawrence; Beare, Mike; Cressie, Noel
作者单位：Commonwealth Scientific & Industrial Research Organisation (CSIRO); CSIRO Data61; Commonwealth Scientific & Industrial Research Organisation (CSIRO); CSIRO Agriculture & Food; Commonwealth Scientific & Industrial Research Organisation (CSIRO); Bioeconomy Science Institute; New Zealand Institute for Plant & Food Research Ltd; University of Wollongong
摘要：A statistical framework we call CQUESST (Carbon Quantification and Uncertainty from Evolutionary Soil STochastics), which models carbon sequestration and cycling in soils, is applied to a long-running agricultural experiment that controls for crop type, tillage, and season. The experiment, known as the Millenium Tillage Trial (MTT), ran on 42 field-plots for 10 years from 2000-2010; here CQUESST is used to model soil carbon dynamically in six pools, in each of the 42 agricultural plots, and on...
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作者：Mondal, Debashis; Chang, Xiaohui
作者单位：Washington University (WUSTL); Oregon State University
摘要：Environmental bioassays, such as sediment toxicity tests, provide abroad survey of toxicity that is crucial for the conservation and protection of marine and estuarine ecosystems. Using odds, risk, and survival probability ratios, this paper presents a critical evaluation of sediment toxicity tests data collected in the New York-New Jersey harbor area. It further derives spatial regression analysis to combine test results, predict toxicity at unsampled locations, and determine the effects of s...
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作者：Moore, Alan; Chu, Lynna; Zhu, Zhengyuan
作者单位：Iowa State University
摘要：We present a nonparametric change-point detection approach to detect potentially sparse changes in a time series of high-dimensional observations or non-Euclidean data objects. We target a change in distribution that occurs in a small, unknown subset of dimensions, where these dimensions may be correlated. Our work is motivated by a remote sensing application, where changes occur in small, spatially clustered regions over time. An adaptive block-based change-point detection framework is propos...
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作者：Wang, Yuan; Yin, Jian; Riccardi, Nicholas; Den Ouden, Dirk-bart; Fridriksson, Julius; Desai, Rutvik H.
作者单位：University of South Carolina System; University of South Carolina Columbia; City University of Hong Kong; University of South Carolina System; University of South Carolina Columbia; University of South Carolina System; University of South Carolina Columbia
摘要：Persistent homology (PH) characterizes the shape of brain networks through persistence features. Group comparison of persistence features from brain networks can be challenging, as they are inherently heterogeneous. A recent scale-space representation of persistence diagram (PD) through heat diffusion reparameterizes using a finite number of Fourier coefficients with respect to the Laplace-Beltrami (LB) eigenfunction expansion of the domain, thus providing a powerful vectorized algebraic repre...
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作者：Zhou, Yunzhe; Hooker, Giles
作者单位：University of California System; University of California Berkeley; University of Pennsylvania
摘要：In population ecology, integral projection models (IPMs) are widely used to study population growth and the dynamics of population structure (e.g., age and size distributions). These models typically use data on the growth, survival, and reproduction of marked individuals to parameterize models for each demographic rate. The resulting models can be used to predict changes in the population from one time point to the next and to predict long-term properties such as long-term population growth r...
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作者：Lee, Sungdong; Bang, Joshua; Kim, Youngrae; Choi, Hyungwon; Oh, Sang-Yun; Won, Joong-Ho
作者单位：National University of Singapore; University of California System; University of California Santa Barbara; United States Department of Energy (DOE); Lawrence Berkeley National Laboratory; Seoul National University (SNU)
摘要：Graphical model estimation from multiomics data requires a balance between statistical estimation performance and computational scalability. We introduce a novel pseudolikelihood-based graphical model framework that reparameterizes the target precision matrix while preserving the sparsity pattern and estimates it by minimizing an & ell;1-penalized empirical risk based on a new loss function. The proposed estimator maintains estimation and selection consistency in various metrics under high-dim...
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作者：Norris, Michelle; Bedrick, Edward J.; Gardner, Ian; Johnson, Wesley
作者单位：California State University System; California State University Sacramento; University of Arizona; University of Prince Edward Island; University of California System; University of California Irvine
摘要：We develop a Bayesian hierarchical model for bivariate longitudinal diagnostic outcome data involving testing for the infective agent for Johne's disease (JD). We consider the situation where an imperfect binary test (fecal culture, FC) is repeatedly administered to each individual together with a continuous biomarker (serum ELISA measured as optical density (OD)). For infected individuals we assume the existence of a change-point corresponding to time of infection and posit appropriate change...
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作者：Santi, Lapo; Friel, Nial
作者单位：University College Dublin; University College Dublin
摘要：The Bradley-Terry model is widely used for the analysis of pairwise comparison data and, in essence, produces a ranking of the items under comparison. We embed the Bradley-Terry model within a stochastic block model, allowing items to cluster. The resulting Bradley-Terry SBM (BT-SBM) ranks clusters so that items within a cluster share the same tied rank. We develop a fully Bayesian specification in which all quantities-the number of blocks, their strengths, and item assignments-are jointly lea...
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作者：Gang, Bowen; Fu, Luella; James, Gareth M.; Sun, Wenguang
作者单位：Fudan University; California State University System; San Francisco State University; Emory University; Zhejiang University
摘要：The allocation of limited resources to a large number of potential candidates presents a pervasive challenge. In the context of ranking and selecting top candidates from heteroscedastic units, conventional methods often result in overrepresentations of subpopulations, and this issue is further exacerbated in large-scale settings where thousands of candidates are considered simultaneously. In particular, we consider this problem in ranking schools based on socioeconomic performance gaps in stan...
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作者：Li, Qinmengge; He, Kevin; Tsoi, Lam C.; Kang, Jian
作者单位：University of Michigan System; University of Michigan; University of Michigan System; University of Michigan; University of Michigan System; University of Michigan; University of Michigan System; University of Michigan
摘要：In survival analysis, accurate identification of latent classes is essential to effectively account for potential hidden population heterogeneity. In response to this challenge, we introduce the latent class discrete survival (LaCDS) model. LaCDS employs a finite-mixture model structure within the context of the discrete failure time model and implements the expectation-maximization algorithm for efficient optimization. Through extensive simulation studies, we evaluate the performance of LaCDS...
