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Adelchi Azzalini

Adelchi Azzalini

D-Index & Metrics

Mathematics

D-Index
36
Citations
18755
World Ranking
2563
National Ranking
83

Overview

Adelchi Azzalini is affiliated with the University of Padua in Italy and has contributed extensively to the fields of Mathematics and Decision Sciences. Their research emphasizes Statistical Distribution Estimation and Applications, with additional work in Advanced Statistical Methods and Models, Probabilistic and Robust Engineering Design, Statistical Methods and Bayesian Inference, Bayesian Methods and Mixture Models, Financial Risk and Volatility Modeling, and Probability and Risk Models.

The scholar's work spans several subfields including Statistics and Probability, Management Science and Operations Research, Statistics, Probability and Uncertainty, Artificial Intelligence, and Orthopedics and Sports Medicine. These areas reflect a broad engagement with both theoretical and applied quantitative methods.

Frequent publication venues for their work include arXiv (Cornell University), where four papers have been published, followed by the Journal of Multivariate Analysis and Stat, each with two publications. Additional publication contributions appear in Statistical Papers and Symmetry.

Adelchi Azzalini has collaborated repeatedly with several researchers, notably Reinaldo B. Arellano-Valle, with whom they have co-authored seven papers. Other frequent co-authors include Marco Zanin, Jayamini Ranaweera, Joshua Darrall-Jones, and Gregory Roe, each having worked with Azzalini on two publications.

Recent papers authored or co-authored by Azzalini include the following:

  • "An overview on the progeny of the skew-normal family- A personal perspective" (2021), Journal of Multivariate Analysis
  • "Further Results on a Class of Distributions which Includes the Normal Ones - Looking Back" (2020), DOAJ (DOAJ: Directory of Open Access Journals)

Other relevant papers related to their field but authored primarily by other individuals include:

  • "A Selective Overview of Skew-Elliptical and Related Distributions and of Their Applications" (2020), Symmetry
  • "Designing a small-sided game to elicit attacking tactical behaviour in professional rugby union forwards" (2022), Journal of Sports Sciences
  • "On the non-identifiability of unified skew-normal distributions" (2023), Stat

The research focus on skew-normal and related distribution families is evident from the nature of their frequent publications and collaborations. These statistical approaches are leveraged in various contexts, including multivariate analysis and applications spanning decision sciences and engineering design.

Best Publications

  • A class of distributions which includes the normal ones

    Adelchi Azzalini

  • The multivariate skew-normal distribution

    A. Azzalini;A. Dalla Valle

  • Distributions generated by perturbation of symmetry with emphasis on a multivariate skew t‐distribution

    Adelchi Azzalini;Antonella Capitanio

  • Applied smoothing techniques for data analysis : the kernel approach with S-plus illustrations

    Adrian W. Bowman;Adelchi Azzalini

  • Statistical applications of the multivariate skew normal distribution

    Adelchi Azzalini;A. Capitanio

  • The Skew-normal Distribution and Related Multivariate Families.

    Adelchi Azzalini

  • Further results on a class of distributions which includes the normal ones

    Adelchi Azzalini

  • The Skew-Normal and Related Families

    Adelchi Azzalini;Antonella Capitanio

  • On the Unification of Families of Skew‐normal Distributions

    Reinaldo B. Arellano-Valle;Adelchi Azzalini

  • A note on the estimation of a distribution function and quantiles by a kernel method

    A. Azzalini

  • Statistical Inference Based on the likelihood

    Adelchi Azzalini

  • A look at some data on the old faithful geyser

    A. Azzalini;A.W. Bowman

  • Skewed multivariate models related to hidden truncation and/or selective reporting

    Barry C. Arnold;Robert J. Beaver;A. Azzalini;N. Balakrishnan

  • Robust Likelihood Methods Based on the Skew-t and Related Distributions

    Adelchi Azzalini;Marc G. Genton;Marc G. Genton

  • On the use of nonparametric regression for model checking

    A. Azzalini;A. W. Bowman;W. Härdle

  • On the Use of Nonparametric Regression for Checking Linear Relationships

    Adelchi Azzalini;Adrian Bowman

  • Clustering via nonparametric density estimation

    Adelchi Azzalini;Nicola Torelli

  • The centred parametrization for the multivariate skew-normal distribution

    Reinaldo B. Arellano-Valle;Adelchi Azzalini

  • Testing for a deficit in single-case studies: Effects of departures from normality

    John R. Crawford;Paul H. Garthwaite;Adelchi Azzalini;David C. Howell

  • Graphical models for skew-normal variates

    A. Capitanio;A. Azzalini;E. Stanghellini

  • Logistic regression for autocorrelated data with application to repeated measures

    A. Azzalini

Frequent Co-Authors

Marc G. Genton
Marc G. Genton King Abdullah University of Science and Technology
Paul D. McNicholas
Paul D. McNicholas McMaster University
Mahdi Salehi
Mahdi Salehi Ferdowsi University of Mashhad
John Robertson Crawford
John Robertson Crawford University of Aberdeen
Peter J. Diggle
Peter J. Diggle Lancaster University
Narayanaswamy Balakrishnan
Narayanaswamy Balakrishnan McMaster University
Dipak K. Dey
Dipak K. Dey University of Connecticut
Wolfgang Karl Härdle
Wolfgang Karl Härdle Humboldt-Universität zu Berlin
Keith R. Laws
Keith R. Laws University of Hertfordshire
David R. Cox
David R. Cox University of Oxford

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