Distances and inference for covariance operators

QR Code

Distances and inference for covariance operators

A framework is developed for inference concerning the covariance operator of a functional random process, where the covariance operator itself is an object of interest for statistical analysis. Distances for comparing positive-definite covariance matrices are either extended or shown to be inapplica...

Full description

Bibliographic Details
Main Authors:	Pigoli, Davide, Aston, John A.D., Dryden, Ian L., Secchi, Piercesare
Format:	Article
Published:	Oxford University Press 2014
Subjects:	Distance metric; Functional data analysis; Procrustes analysis; Shape analysis
Online Access:	https://eprints.nottingham.ac.uk/41017/

Similar Items

Size and shape analysis of error-prone shape data
by: Du, J., et al.
Published: (2015)

Regularisation, interpolation and visualisation of diffusion tensor images using non-Euclidean statistics.
by: Zhou, Diwei, et al.
Published: (2016)

Technology transformations in research evaluation metrics data: library reference services and research intelligence in China
by: Qiu, Lulu, et al.
Published: (2018)

Comparative behaviour of hollow-reinforced concrete column strengthened with carbon fibre-reinforced polymer and shape memory alloy
by: Ismail, Ruqayyah
Published: (2019)

Statistical shape analysis of wheat root systems
by: Hyde, Andrew
Published: (2018)

An evaluation of Key Performance Indicators for beef herds
by: Hewitt, Sarah
Published: (2022)

Inference and diagnostics for generalized exponential distribution with fixed and time-dependent covariates and interval censored data
by: Al Hakeem, Hussein Ali Ghaffoori
Published: (2022)

Exponentiated-based Burr type X distributions with censored data and covariate
by: Oh, Yit Leng
Published: (2024)

Library data visualisation transformations: global patterns for research evaluation metrics in China
by: Wu, Cocoa, et al.
Published: (2019)

Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
by: Abbas, Iraq Tareq
Published: (2018)

Fixed point for derivative and differentiation of single-valued and set-valued functions on metric spaces
by: Muslikh, Mohamad
Published: (2019)

Prospects of Solar Energy in Australia
by: Shafiullah, G., et al.
Published: (2010)

The decomposition of deformation: new metrics to enhance shape analysis in medical imaging
by: Varano, Valerio, et al.
Published: (2018)

A functional regression approach to facial landmark tracking
by: Sánchez-Lozano, Enrique, et al.
Published: (2017)

Positive linear operators and approximation properties
by: Ayman Mursaleen, Mohammad
Published: (2024)

Bootstrap and empirical likelihood methods in statistical shape analysis
by: Amaral, Getulio J.A.
Published: (2004)

A Bayesian model for the unlabelled size-and-shape analysis
by: Sajib, Anamul
Published: (2018)

Age-Related Changes in Depth Perception through Shape-from-Shading
by: Broadbent, H.E.
Published: (2024)

Enhancing DEA model : focus on time-controlled processes / Rasidah Mahdi
by: Mahdi, Rasidah
Published: (2009)

Is Vegetable Farming Technically Efficient in Marilog, Davao City, Philippines? Parametric and Non-Parametric Approaches
by: Sarmiento, Jon, et al.
Published: (2013)

Empirical analysis of Domain Ontology usage on the Web: eCommerce Domain in focus.
by: Ashraf, Jamshaid, et al.
Published: (2013)

A Model-Based Soft Errors Risks Minimization Approach
by: Sadi, M., et al.
Published: (2009)

The TPS Direct Transport: a new method for transporting deformations in the Size-and-shape Space
by: Varano, Valerio, et al.
Published: (2017)

3D ear shape reconstruction and recognition for biometric applications
by: Cho, Siu-Yeung
Published: (2013)

Robust recognition of planar shapes under affine transforms using principal component analysis
by: Tzimiropoulos, Georgios, et al.
Published: (2007)

Perceiving statistical knowledge through digital apps: an exploratory study / Az’lina Abdul Hadi... [et al.]
by: Abdul Hadi, Az’lina, et al.
Published: (2018)

Statistical analysis of genomic data : a new model for class prediction and inference
by: Jiang, Zhenyu
Published: (2011)

New genetic operator for solving the travelling salesman problem / Fadzilawani Astifar Alias ... [et al.]
by: Alias, Fadzilawani Astifar, et al.
Published: (2015)

Revised normal ratio methods for imputation of missing rainfall data / Siti Nur Zahrah Amin Burhanuddin, Sayang Mohd Deni and Norazan Mohamed Ramli
by: Amin Burhanuddin, Siti Nur Zahrah, et al.
Published: (2016)

Cost, revenue, and profit efficiency of Islamic versus conventional banks: international evidence using data envelopment analysis
by: Shamsher, Mohamad, et al.
Published: (2008)

Covariance analysis for temporal data, with applications to DNA modelling
by: Dryden, Ian L., et al.
Published: (2017)

Shrinkage estimation of covariance matrix in hotelling’s T2 for differentially expressed gene sets / Suryaefiza Karjanto
by: Karjanto, Suryaefiza
Published: (2017)

Importance of Supply Chain Flexibility Dimensions Rated by Industry
by: Jeeva, Ananda, et al.
Published: (2012)

Computable analysis of linear rearrangement optimization
by: Farjudian, Amin
Published: (2019)

Functional Analysis of Oil Palm Metallothionein-Like Gene Promoter (MT3-A) in Bacteria and Transgenic Tomato
by: Kamaladini, Hossein
Published: (2011)

Effort Estimation Model for Function Point Measurement
by: Koh, Tieng Wei
Published: (2007)

New functional size convertibility models in FPA and COSMIC measurement methods
by: Ahmad Abualkishik, Abedallah Zaid
Published: (2012)

Parametric cure fraction models for interval-censoring with a change-point based on a covariate threshold
by: Ali Taweab, Fauzia
Published: (2015)

Inferential procedures on log-normal model for left-truncated and case-k interval censored data with covariates
by: Manoharan, Thirunanthini
Published: (2017)

Using technology to accurately capture functional outcomes in sarcoma patients
by: Lu, Weiran
Published: (2013)