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Mathematics

D-Index
64
Citations
33627
World Ranking
403
National Ranking
27

Research.com Recognitions

  • 2013 - Samuel S. Wilks Memorial Award, American Statistical Association (ASA)
  • 1977 - Fellow of the American Statistical Association (ASA)

Overview

Kanti V. Mardia is affiliated with the University of Leeds in the United Kingdom. Their research spans several areas within biochemistry, genetics, and molecular biology, with significant contributions also in artificial intelligence, geometry and topology, environmental engineering, and computer vision and pattern recognition.

Their recent publication record includes works across various reputable journals and preprint repositories. Notable recent papers include:

  • Principal component analysis and clustering on manifolds, 2021, Journal of Multivariate Analysis
  • Comments on: Recent advances in directional statistics, 2021, Test
  • Fisher's pioneering work on discriminant analysis and its impact on Artificial Intelligence, 2024, Journal of Multivariate Analysis

Some papers where they are not the sole author but involved in related research topics include:

  • Bridging geometric morphometrics to medical anatomy: An example from an experimental study of the human smile, 2024, bioRxiv (Cold Spring Harbor Laboratory)
  • Learning torus PCA-based classification for multiscale RNA correction with application to SARS-CoV-2, 2023, Journal of the Royal Statistical Society Series C (Applied Statistics)

Mardia has frequently co-authored research with Benjamin Eltzner, Stephan Huckemann, John T. Kent, Henrik Wiechers, and Stuart Barber, reflecting collaborations mainly in statistical and applied mathematical fields.

Their work has appeared predominantly in venues such as:

  • arXiv (Cornell University)
  • Journal of Multivariate Analysis
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of the Royal Statistical Society Series C (Applied Statistics)
  • Sankhya A

Mardia has also contributed to scholarly book publications, with titles such as Spatial Analysis published by Wiley in 2022.

Research topics frequently covered in their work include:

  • Morphological variations and asymmetry
  • Bayesian Methods and Mixture Models
  • RNA and protein synthesis mechanisms
  • RNA Research and Splicing
  • Soil Geostatistics and Mapping
  • RNA modifications and cancer
  • Stochastic processes and statistical mechanics

Throughout their career, Mardia has been recognized with distinctions including the Samuel S. Wilks Memorial Award from the American Statistical Association in 2013 and was elected a Fellow of the American Statistical Association in 1977.

Best Publications

  • Measures of multivariate skewness and kurtosis with applications

    K. V. Mardia

  • Statistical Shape Analysis: With Applications in R

    Ian L. Dryden;Kantilal V. Mardia

  • Statistics of Directional Data.

    D. V. Gokhale;K. V. Mardia

  • Statistics of Directional Data

    K. V. Mardia

  • Maximum likelihood estimation of models for residual covariance in spatial regression

    K. V. Mardia;R. J. Marshall

  • Families of Bivariate Distributions

    K. V. Mardia

  • Matching of palmprints

    Nicolae Duta;Anil K. Jain;Kanti V. Mardia

  • Statistical assessment of bilateral symmetry of shapes

    Kanti V. Mardia;Fred L. Bookstein;Ian J. Moreton

  • A review of image-warping methods

    C. A. Glasbey;K. V. Mardia

  • 9 Tests of unvariate and multivariate normality

    K.V. Mardia

  • Multi-dimensional multivariate Gaussian Markov random fields with application to image processing

    K. V. Mardia

  • The effect of nonnormality on some multivariate tests and robustness to nonnormality in the linear model

    K. V. Mardia

  • A spatial thresholding method for image segmentation

    K.V. Mardia;T.J. Hainsworth

  • The Kriged Kalman filter

    Kanti V. Mardia;Colin Goodall;Edwin J. Redfern;Francisco J. Alonso

  • The von Mises–Fisher Matrix Distribution in Orientation Statistics

    C. G. Khatri;K. V. Mardia

  • Multivariate Pareto Distributions

    K. V. Mardia

  • A general correlation coefficient for directional data and related regression problems

    P. E. Jupp;K. V. Mardia

  • Protein bioinformatics and mixtures of bivariate von Mises distributions for angular data.

    Kanti V. Mardia;Charles C. Taylor;Ganesh K. Subramaniam

  • A Unified View of the Theory of Directional Statistics, 1975-1988

    P. E. Jupp;K. V. Mardia

  • A generative, probabilistic model of local protein structure.

    Wouter Boomsma;Kanti V. Mardia;Charles C. Taylor;Jesper Ferkinghoff-Borg

  • Families of Bivariate Distributions.

    J. K. Ord;K. V. Mardia

Frequent Co-Authors

Madan L. Puri
Madan L. Puri Indiana University
Michael Sørensen
Michael Sørensen University of Copenhagen
Chris Chatfield
Chris Chatfield University of Bath
Jan Beirlant
Jan Beirlant KU Leuven
Anthony C. Davison
Anthony C. Davison École Polytechnique Fédérale de Lausanne
Johan Segers
Johan Segers Université Catholique de Louvain
Anthony C. Atkinson
Anthony C. Atkinson London School of Economics and Political Science
Walter R. Gilks
Walter R. Gilks University of Leeds
David J. Hand
David J. Hand Imperial College London
Anders Krogh
Anders Krogh University of Copenhagen

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