The Annals of Applied Statistics

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• LEARNING EXCURSION SETS OF VECTOR-VALUED GAUSSIAN RANDOM FIELDS FOR AUTONOMOUS OCEAN SAMPLING AI翻译
  作者：Fossum, Trygve Olav; Travelletti, Cedric; Eidsvik, Jo; Ginsbourger, David; Rajan, Kanna
  作者单位：Norwegian University of Science & Technology (NTNU); University of Bern; Norwegian University of Science & Technology (NTNU); Universidade do Porto
  摘要：Improving and optimizing oceanographic sampling is a crucial task for marine science and maritime resource management. Faced with limited resources in understanding processes in the water column, the combination of statistics and autonomous systems provides new opportunities for experimental design. In this work we develop efficient spatial sampling methods for characterizing regions, defined by simultaneous exceedances above prescribed thresholds of several responses, with an application focu...
• SPIKE-AND-SLAB LASSO BICLUSTERING AI翻译
  作者：Moran, Gemma E.; Rockova, Veronika; George, Edward, I
  作者单位：Columbia University; University of Chicago; University of Pennsylvania
  摘要：Biclustering methods simultaneously group samples and their associated features. In this way, biclustering methods differ from traditional clustering methods, which utilize the entire set of features to distinguish groups of samples. Motivating applications for biclustering include genomics data, where the goal is to cluster patients or samples by their gene expression profiles; and recommender systems, which seek to group customers based on their product preferences. Biclusters of interest of...
• ESTIMATING ANIMAL UTILIZATION DISTRIBUTIONS FROM MULTIPLE DATA TYPES: A JOINT SPATIOTEMPORAL POINT PROCESS FRAMEWORK AI翻译
  作者：Watson, Joe; Joy, Ruth; Tollit, Dominic; Thornton, Sheila J.; Auger-Methe, Marie
  作者单位：University of British Columbia; Simon Fraser University; Fisheries & Oceans Canada; University of British Columbia
  摘要：Models of the spatial distribution of animals provide useful tools to help ecologists quantify species-environment relationships, and they are increasingly being used to help determine the impacts of climate and habitat changes on species. While high-quality survey-style data with known effort are sometimes available, often researchers have multiple datasets of varying quality and type. In particular, collections of sightings made by citizen scientists are becoming increasingly common, with no...
• DIAGNOSIS-GROUP-SPECIFIC TRANSITIONAL CARE PROGRAM RECOMMENDATIONS FOR 30-DAY REHOSPITALIZATION REDUCTION AI翻译
  作者：Yu, Menggang; Kuang, Chensheng; Huling, Jared D.; Smith, Maureen
  作者单位：University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison; University of Minnesota System; University of Minnesota Twin Cities; University of Wisconsin System; University of Wisconsin Madison; University of Wisconsin System; University of Wisconsin Madison
  摘要：Thirty-day rehospitalization rate is a well-studied and important measure reflecting the overall performance of health systems. Recently, transitional care (TC) programs have been initiated to reduce avoidable rehospitalizations. These programs typically ask nurses to follow-up with patients after the hospitalization to manage issues and reduce the risk of rehospitalizations during health care transitions. As rehospitalization is a complex process that depends on many factors, it is unlikely t...
• ESTIMATION OF CELL LINEAGE TREES BY MAXIMUM-LIKELIHOOD PHYLOGENETICS AI翻译
  作者：Feng, Jean; DeWitt, William S., III; McKenna, Aaron; Simon, Noah; Willis, Amy D.; Matsen, Frederick A.
  作者单位：University of California System; University of California San Francisco; University of Washington; University of Washington Seattle; Dartmouth College; University of Washington; University of Washington Seattle; Fred Hutchinson Cancer Center
  摘要：CRISPR technology has enabled cell lineage tracing for complex multicellular organisms through insertion-deletion mutations of synthetic genomic barcodes during organismal development. To reconstruct the cell lineage tree from the mutated barcodes, current approaches apply general-purpose computational tools that are agnostic to the mutation process and are unable to take full advantage of the data's structure. We propose a statistical model for the CRISPR mutation process and develop a proced...
• A REGRESSION DISCONTINUITY DESIGN FOR ORDINAL RUNNING VARIABLES: EVALUATING CENTRAL BANK PURCHASES OF CORPORATE BONDS AI翻译
  作者：Li, Fan; Mercatanti, Andrea; Makinen, Taneli; Silvestrini, Andrea
  作者单位：Duke University; European Central Bank; Bank of Italy
  摘要：Regression discontinuity (RD) is a widely used quasi-experimental design for causal inference. In the standard RD the assignment to treatment is determined by a continuous pretreatment variable (i.e., running variable) falling above or below a prefixed threshold. Recent applications increasingly feature ordered categorical or ordinal running variables which pose challenges to RD estimation due to the lack of a meaningful measure of distance. This paper proposes an RD approach for ordinal runni...
• DISCOVERING INTERACTIONS USING COVARIATE INFORMED RANDOM PARTITION MODELS AI翻译
  作者：Page, Garritt L.; Quintana, Fernando A.; Rosner, Gary L.
  作者单位：Brigham Young University; Pontificia Universidad Catolica de Chile; Johns Hopkins University
  摘要：Combination chemotherapy treatment regimens created for patients diagnosed with childhood acute lymphoblastic leukemia have had great success in improving cure rates. Unfortunately, patients prescribed these types of treatment regimens have displayed susceptibility to the onset of osteonecrosis. Some have suggested that this is due to pharmacokinetic interaction between two agents in the treatment regimen (asparaginase and dexamethasone) and other physiological variables. Determining which phy...
• ANALYSING THE CAUSAL EFFECT OF LONDON CYCLE SUPERHIGHWAYS ON TRAFFIC CONGESTION AI翻译
  作者：Bhuyan, Prajamitra; McCoy, Emma J.; Li, Haojie; Graham, Daniel J.
  作者单位：Imperial College London; Southeast University - China; Imperial College London
  摘要：Transport operators have a range of intervention options available to improve or enhance their networks. Such interventions are often made in the absence of sound evidence on resulting outcomes. Cycling superhighways were promoted as a sustainable and healthy travel mode, one of the aims of which was to reduce traffic congestion. Estimating the impacts that cycle superhighways have on congestion is complicated due to the nonrandom assignment of such intervention over the transport network. In ...
• A BAYESIAN NONPARAMETRIC MODEL FOR INFERRING SUBCLONAL POPULATIONS FROM STRUCTURED DNA SEQUENCING DATA AI翻译
  作者：He, Shai; Schein, Aaron; Sarsani, Vishal; Flaherty, Patrick
  作者单位：University of Massachusetts System; University of Massachusetts Amherst; Columbia University
  摘要：There are distinguishing features or hallmarks of cancer that are found across tumors, individuals and types of cancer, and these hallmarks can be driven by specific genetic mutations. Yet within a single tumor there is often extensive genetic heterogeneity as evidenced by single-cell and bulk DNA sequencing data. The goal of this work is to jointly infer the underlying genotypes of tumor subpopulations and the distribution of those subpopulations in individual tumors by integrating single-cel...
• A COMPOSITIONAL MODEL TO ASSESS EXPRESSION CHANGES FROM SINGLE-CELL RNA-SEQ DATA AI翻译
  作者：Ma, Xiuyu; Korthauer, Keegan; Kendziorski, Christina; Newton, Michael A.
  作者单位：University of Wisconsin System; University of Wisconsin Madison; University of British Columbia; University of Wisconsin System; University of Wisconsin Madison
  摘要：On the problem of scoring genes for evidence of changes in the distribution of single-cell expression, we introduce an empirical Bayesian mixture approach and evaluate its operating characteristics in a range of numerical experiments. The proposed approach leverages cell-subtype structure revealed in cluster analysis in order to boost gene-level information on expression changes. Cell clustering informs gene-level analysis through a specially-constructed prior distribution over pairs of multin...