The Annals of Applied Statistics

最新文章

• ESTIMATING WITHIN-SCHOOL CONTACT NETWORKS TO UNDERSTAND INFLUENZA TRANSMISSION AI翻译
  作者：Potter, Gail E.; Handcock, Mark S.; Longini, Ira M., Jr.; Halloran, M. Elizabeth
  作者单位：University of Washington; University of Washington Seattle; Fred Hutchinson Cancer Center; University of California System; University of California Los Angeles; State University System of Florida; University of Florida
  摘要：Many epidemic models approximate social contact behavior by assuming random mixing within mixing groups (e. g., homes, schools and work-places). The effect of more realistic social network structure on estimates of epidemic parameters is an open area of exploration. We develop a detailed statistical model to estimate the social contact network within a high school using friendship network data and a survey of contact behavior. Our contact network model includes classroom structure, longer dura...
• DATING MEDIEVAL ENGLISH CHARTERS AI翻译
  作者：Tilahun, Gelila; Feuerverger, Andrey; Gervers, Michael
  作者单位：University of Toronto; University of Toronto
  摘要：Deeds, or charters, dealing with property rights, provide a continuous documentation which can be used by historians to study the evolution of social, economic and political changes. This study is concerned with charters (written in Latin) dating from the tenth through early fourteenth centuries in England. Of these, at least one million were left undated, largely due to administrative changes introduced by William the Conqueror in 1066. Correctly dating such charters is of vital importance in...
• STATISTICAL METHODS FOR TISSUE ARRAY IMAGES-ALGORITHMIC SCORING AND CO-TRAINING AI翻译
  作者：Yan, Donghui; Wang, Pei; Linden, Michael; Knudsen, Beatrice; Randolph, Timothy
  作者单位：Fred Hutchinson Cancer Center; University of Minnesota System; University of Minnesota Twin Cities; Cedars Sinai Medical Center
  摘要：Recent advances in tissue microarray technology have allowed immunohistochemistry to become a powerful medium-to-high throughput analysis tool, particularly for the validation of diagnostic and prognostic biomarkers. However, as study size grows, the manual evaluation of these assays becomes a prohibitive limitation; it vastly reduces throughput and greatly increases variability and expense. We propose an algorithm-Tissue Array Co-Occurrence Matrix Analysis (TACOMA)-for quantifying cellular ph...
• A TOOLBOX FOR FITTING COMPLEX SPATIAL POINT PROCESS MODELS USING INTEGRATED NESTED LAPLACE APPROXIMATION (INLA) AI翻译
  作者：Illian, Janine B.; Sorbye, Sigrunn H.; Rue, Havard
  作者单位：University of St Andrews; UiT The Arctic University of Tromso; Norwegian University of Science & Technology (NTNU)
  摘要：This paper develops methodology that provides a toolbox for routinely fitting complex models to realistic spatial point pattern data. We consider models that are based on log-Gaussian Cox processes and include local interaction in these by considering constructed covariates. This enables us to use integrated nested Laplace approximation and to considerably speed up the inferential task. In addition, methods for model comparison and model assessment facilitate the modelling process. The perform...
• A DYNAMIC NONSTATIONARY SPATIO-TEMPORAL MODEL FOR SHORT TERM PREDICTION OF PRECIPITATION AI翻译
  作者：Sigrist, Fabio; Kuensch, Hans R.; Stahel, Werner A.
  作者单位：Swiss Federal Institutes of Technology Domain; ETH Zurich
  摘要：Precipitation is a complex physical process that varies in space and time. Predictions and interpolations at unobserved times and/or locations help to solve important problems in many areas. In this paper, we present a hierarchical Bayesian model for spatio-temporal data and apply it to obtain short term predictions of rainfall. The model incorporates physical knowledge about the underlying processes that determine rainfall, such as advection, diffusion and convection. It is based on a tempora...
• MEASURING THE VULNERABILITY OF THE URUGUAYAN POPULATION TO VECTOR-BORNE DISEASES VIA SPATIALLY HIERARCHICAL FACTOR MODELS AI翻译
  作者：Lopes, Hedibert F.; Schmidt, Alexandra M.; Salazar, Esther; Gomez, Mariana; Achkar, Marcel
  作者单位：University of Chicago; Universidade Federal do Rio de Janeiro; Duke University; Universidad de la Republica, Uruguay; Universidad de la Republica, Uruguay; Instituto Nacional de Salud Publica
  摘要：We propose a model-based vulnerability index of the population from Uruguay to vector-borne diseases. We have available measurements of a set of variables in the census tract level of the 19 Departmental capitals of Uruguay. In particular, we propose an index that combines different sources of information via a set of micro-environmental indicators and geographical location in the country. Our index is based on a new class of spatially hierarchical factor models that explicitly account for the...
• SEMIPARAMETRIC REGRESSION IN TESTICULAR GERM CELL DATA AI翻译
  作者：Voulgaraki, Anastasia; Kedem, Benjamin; Graubard, Barry I.
  作者单位：University System of Maryland; University of Maryland College Park; National Institutes of Health (NIH) - USA; NIH National Cancer Institute (NCI)
  摘要：It is possible to approach regression analysis with random covariates from a semiparametric perspective where information is combined from multiple multivariate sources. The approach assumes a semiparametric density ratio model where multivariate distributions are regressed on a reference distribution. A kernel density estimator can be constructed from many data sources in conjunction with the semiparametric model. The estimator is shown to be more efficient than the traditional single-sample ...
• COMPOSITE GAUSSIAN PROCESS MODELS FOR EMULATING EXPENSIVE FUNCTIONS AI翻译
  作者：Ba, Shan; Joseph, V. Roshan
  作者单位：University System of Georgia; Georgia Institute of Technology
  摘要：A new type of nonstationary Gaussian process model is developed for approximating computationally expensive functions. The new model is a composite of two Gaussian processes, where the first one captures the smooth global trend and the second one models local details. The new predictor also incorporates a flexible variance model, which makes it more capable of approximating surfaces with varying volatility. Compared to the commonly used stationary Gaussian process model, the new predictor is n...
• SMOOTHING PROXIMAL GRADIENT METHOD FOR GENERAL STRUCTURED SPARSE REGRESSION AI翻译
  作者：Chen, Xi; Lin, Qihang; Kim, Seyoung; Carbonell, Jaime G.; Xing, Eric P.
  作者单位：Carnegie Mellon University; Carnegie Mellon University
  摘要：We study the problem of estimating high-dimensional regression models regularized by a structured sparsity-inducing penalty that encodes prior structural information on either the input or output variables. We consider two widely adopted types of penalties of this kind as motivating examples: (1) the general overlapping-group-lasso penalty, generalized from the group-lasso penalty; and (2) the graph-guided-fused-lasso penalty, generalized from the fused-lasso penalty. For both types of penalti...
• INVESTIGATING INTERNATIONAL NEW PRODUCT DIFFUSION SPEED: A SEMIPARAMETRIC APPROACH AI翻译
  作者：Hartman, Brian M.; Mallick, Bani K.; Talukdar, Debabrata
  作者单位：University of Connecticut; Texas A&M University System; Texas A&M University College Station; State University of New York (SUNY) System; University at Buffalo, SUNY
  摘要：Global marketing managers are interested in understanding the speed of the new product diffusion process and how the speed has changed in our ever more technologically advanced and global marketplace. Understanding the process allows firms to forecast the expected rate of return on their new products and develop effective marketing strategies. The most recent major study on this topic [Marketing Science 21 (2002) 97-114] investigated new product diffusions in the United States. We expand upon ...