Noel Cressie


Ontology type: schema:Person     


Person Info

NAME

Noel

SURNAME

Cressie

Publications in SciGraph latest 50 shown

  • 2018-06-26 A Statistical Analysis of the Jacobian in Retrievals of Satellite Data in HANDBOOK OF MATHEMATICAL GEOSCIENCES
  • 2018-03 Two-scale spatial models for binary data in STATISTICAL METHODS & APPLICATIONS
  • 2016-02 Hot Enough for You? A Spatial Exploratory and Inferential Analysis of North American Climate-Change Projections in MATHEMATICAL GEOSCIENCES
  • 2015-03 Rejoinder on: Comparing and selecting spatial predictors using local criteria in TEST
  • 2015-03 Comparing and selecting spatial predictors using local criteria in TEST
  • 2014-11 Bayesian hierarchical statistical SIRS models in STATISTICAL METHODS & APPLICATIONS
  • 2013-11 Multi-species SIR models from a dynamical Bayesian perspective in THEORETICAL ECOLOGY
  • 2011 Using Power-Divergence Statistics to Test for Homogeneity in Product-Multinomial Distributions in MODERN MATHEMATICAL TOOLS AND TECHNIQUES IN CAPTURING COMPLEXITY
  • 2010 High-Resolution Digital Soil Mapping: Kriging for Very Large Datasets in PROXIMAL SOIL SENSING
  • 2009-11 Multivariate Intrinsic Random Functions for Cokriging in MATHEMATICAL GEOSCIENCES
  • 2008-05 Equilibrium dynamics of ice streams: a Bayesian statistical analysis in STATISTICAL METHODS & APPLICATIONS
  • 2007-03 Dynamic multi-resolution spatial models in ENVIRONMENTAL AND ECOLOGICAL STATISTICS
  • 2006-06 Spatial prediction on a river network in JOURNAL OF AGRICULTURAL, BIOLOGICAL AND ENVIRONMENTAL STATISTICS
  • 2006-05 Block Kriging for Lognormal Spatial Processes in MATHEMATICAL GEOSCIENCES
  • 2006-05 Spatial Point Process Models of Defensive Strategies: Detecting Changes in STATISTICAL INFERENCE FOR STOCHASTIC PROCESSES
  • 2006 Doctors’ Prescribing Patterns in the Midi-Pyrénées rRegion of France: Point-process Aggregation in CASE STUDIES IN SPATIAL POINT PROCESS MODELING
  • 2005-09 A Loss function approach to identifying environmental exceedances in EXTREMES
  • 2005 Geostatistical prediction of spatial extremes and their extent in GEOSTATISTICS FOR ENVIRONMENTAL APPLICATIONS
  • 2005 Lognormal Kriging: Bias Adjustment and Kriging Variances in GEOSTATISTICS BANFF 2004
  • 2004 Variance-Covariance Modeling and Estimation for Multi-Resolution Spatial Models in GEOENV IV — GEOSTATISTICS FOR ENVIRONMENTAL APPLICATIONS
  • 2003-06 Hierarchical modeling of count data with application to nuclear fall-out in ENVIRONMENTAL AND ECOLOGICAL STATISTICS
  • 2002-12 Spatial-temporal nonlinear filtering based on hierarchical statistical models in TEST
  • 2001-03 Binary Markov Mesh Models and Symmetric Markov Random Fields: Some Results on their Equivalence in METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY
  • 2001-03 Analysis of spatial point patterns using bundles of product density LISA functions in JOURNAL OF AGRICULTURAL, BIOLOGICAL AND ENVIRONMENTAL STATISTICS
  • 2001 Uncertainty and Spatial Linear Models for Ecological Data in SPATIAL UNCERTAINTY IN ECOLOGY
  • 2001 Multiscale Graphical Modeling in Space: Applications to Command and Control in SPATIAL STATISTICS: METHODOLOGICAL ASPECTS AND APPLICATIONS
  • 2001 Kriging for Cut-Offs and Other Difficult Problems in GEOENV III — GEOSTATISTICS FOR ENVIRONMENTAL APPLICATIONS
  • 2000-04 Directed Markov Point Processes as Limits of Partially Ordered Markov Models in METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY
  • 2000-03 Mapping rates associated with polygons in JOURNAL OF GEOGRAPHICAL SYSTEMS
  • 2000 Spatio-temporal hierarchical modeling of an infectious disease from (simulated) count data in COMPSTAT
  • 1999 Spatial Analysis of Particulate Matter in an Urban Environment in GEOENV II — GEOSTATISTICS FOR ENVIRONMENTAL APPLICATIONS
  • 1998-12 Discussion in TEST
  • 1998-10 The Variance-Based Cross-Variogram: You Can Add Apples and Oranges in MATHEMATICAL GEOSCIENCES
  • 1998-06 Hierarchical Bayesian space-time models in ENVIRONMENTAL AND ECOLOGICAL STATISTICS
  • 1997-09 Using hidden Markov chains and empirical Bayes change-point estimation for transect data in ENVIRONMENTAL AND ECOLOGICAL STATISTICS
  • 1997-03 Spatio-Temporal Statistical Modeling of Livestock Waste in Streams in JOURNAL OF AGRICULTURAL, BIOLOGICAL AND ENVIRONMENTAL STATISTICS
  • 1997 Object Identification Using Markov Random Field Segmentation Models at Multiple Resolutions of a Rectangular Lattice in MODELLING LONGITUDINAL AND SPATIALLY CORRELATED DATA
  • 1995-09 Optimal closed boundary identification in gray-scale imagery in JOURNAL OF MATHEMATICAL IMAGING AND VISION
  • 1994-02 Universal cokriging under intrinsic coregionalization in MATHEMATICAL GEOSCIENCES
  • 1994-02 Multivariable spatial prediction in MATHEMATICAL GEOSCIENCES
  • 1994 Some Dynamic Graphics for Spatial Data (with Multiple Attributes) in a GIS in COMPSTAT
  • 1993-02 Multivariable spatial prediction in MATHEMATICAL GEOSCIENCES
  • 1993 Aggregation in Geostatistical Problems in GEOSTATISTICS TRÓIA ’92
  • 1992-03 Mean squared prediction error in the spatial linear model with estimated covariance parameters in ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
  • 1992-01 On the stability of the geostatistical method in MATHEMATICAL GEOSCIENCES
  • 1991-09 Confidence regions in ternary diagrams based on the power-divergence statistics in MATHEMATICAL GEOSCIENCES
  • 1991 Robustness to Unequal Scale and Other Departures from the Classical Linear Model in DIRECTIONS IN ROBUST STATISTICS AND DIAGNOSTICS
  • 1990-04 The origins of kriging in MATHEMATICAL GEOSCIENCES
  • 1989-12 Design considerations for neyman-pearson and wald hypothesis testing in METRIKA
  • 1989-05 Spatial prediction and ordinary kriging in MATHEMATICAL GEOSCIENCES
  • JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "affiliation": [
          {
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.134936.a", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.1007.6", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.34421.30", 
            "type": "Organization"
          }, 
          {
            "id": "https://www.grid.ac/institutes/grid.261331.4", 
            "type": "Organization"
          }
        ], 
        "familyName": "Cressie", 
        "givenName": "Noel", 
        "id": "sg:person.011363136617.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011363136617.03"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T13:59", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_1756.json", 
        "type": "Person"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/person.011363136617.03'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.011363136617.03'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.011363136617.03'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.011363136617.03'


     




    Preview window. Press ESC to close (or click here)


    ...