Marco Riani

Ontology type: schema:Person     

Person Info





Publications in SciGraph latest 50 shown

  • 2019-03 Assessing trimming methodologies for clustering linear regression data in ADVANCES IN DATA ANALYSIS AND CLASSIFICATION
  • 2018-12 The power of monitoring: how to make the most of a contaminated multivariate sample in STATISTICAL METHODS & APPLICATIONS
  • 2018-12 Rejoinder to the discussion of “The power of monitoring: how to make the most of a contaminated multivariate sample” in STATISTICAL METHODS & APPLICATIONS
  • 2017-12 Robust Bayesian regression with the forward search: theory and data analysis in TEST
  • 2016 Introducing Prior Information into the Forward Search for Regression in TOPICS ON METHODOLOGICAL AND APPLIED STATISTICAL INFERENCE
  • 2016 How to Marry Robustness and Applied Statistics in TOPICS ON METHODOLOGICAL AND APPLIED STATISTICAL INFERENCE
  • 2015-12 Simulating mixtures of multivariate data with fixed cluster overlap in FSDA library in ADVANCES IN DATA ANALYSIS AND CLASSIFICATION
  • 2015-07 Hubert, Rousseeuw and Segaert: multivariate functional outlier detection in STATISTICAL METHODS & APPLICATIONS
  • 2015 Finding the Number of Disparate Clusters with Background Contamination in DATA SCIENCE, LEARNING BY LATENT STRUCTURES, AND KNOWLEDGE DISCOVERY
  • 2014-06 On consistency factors and efficiency of robust S-estimators in TEST
  • 2013-07 Regression analysis with partially labelled regressors: carbon dating of the Shroud of Turin in STATISTICS AND COMPUTING
  • 2013 Issues on Clustering and Data Gridding in CLASSIFICATION AND DATA MINING
  • 2013 Size and Power of Multivariate Outlier Detection Rules in ALGORITHMS FROM AND FOR NATURE AND LIFE
  • 2012 Problems and Challenges in the Analysis of Complex Data: Static and Dynamic Approaches in ADVANCED STATISTICAL METHODS FOR THE ANALYSIS OF LARGE DATA-SETS
  • 2011-03-31 Some Perspectives on Multivariate Outlier Detection in NEW PERSPECTIVES IN STATISTICAL MODELING AND DATA ANALYSIS
  • 2010-09 Special Issue on Robust Methods for Classification and Data Analysis in ADVANCES IN DATA ANALYSIS AND CLASSIFICATION
  • 2009-12 New robust dynamic plots for regression mixture detection in ADVANCES IN DATA ANALYSIS AND CLASSIFICATION
  • 2009-11-25 Robust Clustering for Performance Evaluation in DATA ANALYSIS AND CLASSIFICATION
  • 2009-09 Controlling the size of multivariate outlier tests with the MCD estimator of scatter in STATISTICS AND COMPUTING
  • 2008 Monitoring Random Start Forward Searches for Multivariate Data in COMPSTAT 2008
  • 2007-08 Fast calibrations of the forward search for testing multiple outliers in regression in ADVANCES IN DATA ANALYSIS AND CLASSIFICATION
  • 2007-02 Special issue on robust multivariate analysis and classification in STATISTICAL METHODS & APPLICATIONS
  • 2006 Robust classification with categorical variables in COMPSTAT 2006 - PROCEEDINGS IN COMPUTATIONAL STATISTICS
  • 2006 Robust Transformations and Outlier Detection with Autocorrelated Data in FROM DATA AND INFORMATION ANALYSIS TO KNOWLEDGE ENGINEERING
  • 2006 Random Start Forward Searches with Envelopes for Detecting Clusters in Multivariate Data in DATA ANALYSIS, CLASSIFICATION AND THE FORWARD SEARCH
  • 2004-09 Robust multivariate transformations to normality: Constructed variables and likelihood ratio tests in STATISTICAL METHODS & APPLICATIONS
  • 2004-02 The forward search and data visualisation in COMPUTATIONAL STATISTICS
  • 2004 Exploring Multivariate Data with the Forward Search in NONE
  • 2004 Simple Simulations for Robust Tests of Multiple Outliers in Regression in COMPSTAT 2004 — PROCEEDINGS IN COMPUTATIONAL STATISTICS
  • 2003 Robust Classification Through the Forward Search in BETWEEN DATA SCIENCE AND APPLIED DATA ANALYSIS
  • 2002-10 Robust methods for the analysis of spatially autocorrelated data in STATISTICAL METHODS & APPLICATIONS
  • 2002 Robust Time Series Analysis through the Forward Search in COMPSTAT
  • 1999 Graphical Tools for the Detection of Multiple Outliers in Spatial Statistics Models in CLASSIFICATION IN THE INFORMATION AGE
  • 1998 Generalized Distance Measures for Asymmetric Multivariate Distributions in ADVANCES IN DATA SCIENCE AND CLASSIFICATION
  • 1998 Robust Bivariate Boxplots and Visualization of Multivariate Data in CLASSIFICATION, DATA ANALYSIS, AND DATA HIGHWAYS
  • Affiliations

    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": "", 
        "affiliation": [
            "affiliation": {
              "id": "", 
              "type": "Organization"
            "isCurrent": true, 
            "type": "OrganizationRole"
            "id": "", 
            "type": "Organization"
        "familyName": "Riani", 
        "givenName": "Marco", 
        "id": "sg:person.012664543761.06", 
        "identifier": {
          "name": "orcid_id", 
          "type": "PropertyValue", 
          "value": [
        "sameAs": [
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T13:38", 
        "sdLicense": "", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_1413.json", 
        "type": "Person"

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


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

    curl -H 'Accept: application/ld+json' ''

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

    curl -H 'Accept: application/n-triples' ''

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' ''

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

    curl -H 'Accept: application/rdf+xml' ''


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