The Annals of Applied Statistics

最新文章

• INFERRING FOOD INTAKE FROM MULTIPLE BIOMARKERS USING A LATENT VARIABLE MODEL AI翻译
  作者：D'Angelo, Silvia; Brennan, Lorraine; Gormley, Isobel Claire
  作者单位：University College Dublin; University College Dublin
  摘要：Metabolomic-based approaches have gained much attention in recent years, due to their promising potential to deliver objective tools for assessment of food intake. In particular, multiple biomarkers have emerged for single foods. However, there is a lack of statistical tools available for combining multiple biomarkers to quantitatively infer food intake. Furthermore, there is a paucity of approaches for estimating the uncertainty around biomarker-based inferred intake. Here, to estimate the re...
• UNSUPERVISED STREAMING ANOMALY DETECTION FOR INSTRUMENTED INFRASTRUCTURE AI翻译
  作者：Hoeltgebaum, Henrique; Adams, Niall; Lau, F. Din-Houn
  作者单位：Imperial College London
  摘要：Structural health monitoring (SHM) often involves instrumenting structures with distributed sensor networks. These networks typically provide high frequency data describing the spatiotemporal behaviour of the assets. A main objective of SHM is to reason about changes in structures' behaviour using sensor data. We construct a streaming anomaly detection method for data from a railway bridge instrumented with a fibre-optic sensor network. The data exhibits trend over time, which may be partially...
• STABILIZING VARIABLE SELECTION AND REGRESSION AI翻译
  作者：Pfister, Niklas; Williams, Evan G.; Peters, Jonas; Aebersold, Ruedi; Buehlmann, Peter
  作者单位：University of Copenhagen; University of Luxembourg; Swiss Federal Institutes of Technology Domain; ETH Zurich; Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：We consider regression in which one predicts a response Y with a set of predictors X across different experiments or environments. This is a common setup in many data-driven scientific fields, and we argue that statistical inference can benefit from an analysis that takes into account the distributional changes across environments. In particular, it is useful to distinguish between stable and unstable predictors, that is, predictors which have a fixed or a changing functional dependence on the...
• LENGTH-BIASED SEMICOMPETING RISKS MODELS FOR CROSS-SECTIONAL DATA: AN APPLICATION TO CURRENT DURATION OF PREGNANCY ATTEMPT DATA AI翻译
  作者：McLain, Alexander C.; Guo, Siyuan; Thoma, Marie; Zhang, Jiajia
  作者单位：University of South Carolina System; University of South Carolina Columbia; University System of Maryland; University of Maryland College Park
  摘要：Cross-sectional length-biased data arise from questions on the at-risk time for an event of interest from those who are at risk but have yet to experience the event. For example, in the National Survey on Family Growth (NSFG) women, who were currently attempting to become pregnant, were asked how long they had been attempting pregnancy. Cross-sectional survival analysis methods use the observed at-risk times to make inference on the distribution of the unobserved time-to-failure. However, meth...
• TENSOR QUANTILE REGRESSION WITH APPLICATION TO ASSOCIATION BETWEEN NEUROIMAGES AND HUMAN INTELLIGENCE AI翻译
  作者：Li, Cai; Zhang, Heping
  作者单位：Yale University
  摘要：Human intelligence is usually measured by well-established psychometric tests through a series of problem solving. The recorded cognitive scores are continuous but usually heavy-tailed with potential outliers and violating the normality assumption. Meanwhile, magnetic resonance imaging (MRI) provides an unparalleled opportunity to study brain structures and cognitive ability. Motivated by association studies between MRI images and human intelligence, we propose a tensor quantile regression mod...
• THE ROLE OF SCALE IN THE ESTIMATION OF CELL-TYPE PROPORTIONS AI翻译
  作者：Hunt, Gregory J.; Gagnon-Bartsch, Johann A.
  作者单位：University of Michigan System; University of Michigan
  摘要：Complex tissues are composed of a large number of different types of cells, each involved in a multitude of biological processes. Consequently, an important component to understanding such processes is understanding the cell-type composition of the tissues. Estimating cell-type composition using high-throughput gene expression data is known as cell-type deconvolution. In this paper we first summarize the extensive deconvolution literature by identifying a common regression-like approach to dec...
• A BAYESIAN NONPARAMETRIC APPROACH TO SUPER-RESOLUTION SINGLE-MOLECULE LOCALIZATION AI翻译
  作者：Gabitto, Mariano, I; Marie-Nelly, Herve; Pakman, Ari; Pataki, Andras; Darzacq, Xavier; Jordan, Michael, I
  作者单位：Simons Foundation; Flatiron Institute; Stanford University; Li Ka Shing Center; University of California System; University of California Berkeley; Columbia University; Columbia University; University of California System; University of California Berkeley
  摘要：We consider the problem of single-molecule identification in super-resolution microscopy. Super-resolution microscopy overcomes the diffraction limit by localizing individual fluorescing molecules in a field of view. This is particularly difficult since each individual molecule appears and disappears randomly across time and because the total number of molecules in the field of view is unknown. Additionally, data sets acquired with super-resolution microscopes can contain a large number of spu...
• MODELING THE SOCIAL MEDIA RELATIONSHIPS OF IRISH POLITICIANS USING A GENERALIZED LATENT SPACE STOCHASTIC BLOCKMODEL AI翻译
  作者：Ng, Tin Lok James; Murphy, Thomas Brendan; Westling, Ted; McCormick, Tyler H.; Fosdick, Bailey
  作者单位：Trinity College Dublin; University College Dublin; University of Massachusetts System; University of Massachusetts Amherst; University of Washington; University of Washington Seattle; University of Washington; University of Washington Seattle; Colorado State University System; Colorado State University Fort Collins
  摘要：Dail Eireann is the principal chamber of the Irish parliament. The 31st Dail was in session from March 11th, 2011 to February 6th, 2016. Many of the members of the Dail were active on social media, and many were Twitter users who followed other members of the Dail. The pattern of Twitter following amongst these politicians provides insights into political alignment within the Dail. We propose a new model, called the generalized latent space stochastic blockmodel, which extends and generalizes ...
• IDENTIFYING THE RECURRENCE OF SLEEP APNEA USING A HARMONIC HIDDEN MARKOV MODEL AI翻译
  作者：Hadj-Amar, Beniamino; Finkenstadt, Barbel; Fiecas, Mark; Huckstepp, Robert
  作者单位：University of Warwick; University of Minnesota System; University of Minnesota Twin Cities; University of Warwick
  摘要：We propose to model time-varying periodic and oscillatory processes by means of a hidden Markov model where the states are defined through the spectral properties of a periodic regime. The number of states is unknown along with the relevant periodicities, the role and number of which may vary across states. We address this inference problem by a Bayesian nonparametric hiddenMarkov model, assuming a sticky hierarchical Dirichlet process for the switching dynamics between different states while ...
• SIMULTANEOUS NON-GAUSSIAN COMPONENT ANALYSIS (SING) FOR DATA INTEGRATION IN NEUROIMAGING AI翻译
  作者：Risk, Benjamin B.; Gaynanova, Irina
  作者单位：Emory University; Texas A&M University System; Texas A&M University College Station
  摘要：As advances in technology allow the acquisition of complementary information, it is increasingly common for scientific studies to collect multiple datasets. Large-scale neuroimaging studies often include multiple modalities (e.g., task functional MRI, resting-state fMRI, diffusion MRI, and/or structural MRI) with the aim to understand the relationships between datasets. In this study, we seek to understand whether regions of the brain activated in a working memory task relate to resting-state ...