110 citations · 174 across the 10 of their papers we have counts for
12 papers
Elastic kernel Ridge regression, with applications in phonetics
Beatrice Matteo, Almond Stoecker, Davide Pigoli +1
Predicting the shapes of entire curves requires accounting for nonlinear geometry and unknown alignments between curves. We develop elastic kernel ridge regression, a nonparametric…
On the existence and non-existence of centres of mass on Hilbert spheres
Shahin Tavakoli
Fréchet means and centres of mass provide notions of average location in metric spaces. On finite-dimensional spheres, existence follows from compactness. On infinite-dimensi…
Modeling Time-course Gene Expression Data through Bayesian Partition Functional Principal Component Analysis
Marion Kerioui, Daniel Temko, Shahin Tavakoli +1
High-dimensional biomarkers such as gene expression levels are now routinely measured over time, allowing biological processes to be studied dynamically rather than through cross-s…
Infinite-Dimensional Spherical Kernel ridge Regression
Beatrice Matteo, Almond Stoecker, Shahin Tavakoli
We introduce an intrinsic nonlinear regression framework for responses on a sphere of finite or infinite dimension, viewed as a Riemannian manifold. Unlike traditional tangent-spac…
Normative brain mapping of 3-dimensional morphometry imaging data using skewed functional data analysis
Marco Palma, Shahin Tavakoli, Julia Brettschneider +2
Tensor-based morphometry (TBM) aims at showing local differences in brain volumes with respect to a common template. TBM images are smooth but they exhibit (especially in diseased…
Statistics in Phonetics
Shahin Tavakoli, Beatrice Matteo, Davide Pigoli +5
Phonetics is the scientific field concerned with the study of how speech is produced, heard and perceived. It abounds with data, such as acoustic speech recordings, neuroimaging da…
Evolutionary paths to lateralization of complex brain functions
Luís F Seoane
At large, most animal brains present two mirror-symmetric sides; but closer inspection reveals a range of asymmetries (in shape and function), that seem more salient in more cognit…
Exploring British Accents: Modelling the Trap-Bath Split with Functional Data Analysis
Aranya Koshy, Shahin Tavakoli
The sound of our speech is influenced by the places we come from. Great Britain contains a wide variety of distinctive accents which are of interest to linguistics. In particular,…
Factor Models for High-Dimensional Functional Time Series
Shahin Tavakoli, Gilles Nisol, Marc Hallin
In this paper, we set up the theoretical foundations for a high-dimensional functional factor model approach in the analysis of large cross-sections (panels) of functional time ser…
A Spatial Modeling Approach for Linguistic Object Data: Analysing dialect sound variations across Great Britain
Shahin Tavakoli, Davide Pigoli, John A. D. Aston +1
Dialect variation is of considerable interest in linguistics and other social sciences. However, traditionally it has been studied using proxies (transcriptions) rather than acoust…
Tests for separability in nonparametric covariance operators of random surfaces
John A. D. Aston, Davide Pigoli, Shahin Tavakoli
The assumption of separability of the covariance operator for a random image or hypersurface can be of substantial use in applications, especially in situations where the accurate…
Fourier analysis of stationary time series in function space
Victor M. Panaretos, Shahin Tavakoli
We develop the basic building blocks of a frequency domain framework for drawing statistical inferences on the second-order structure of a stationary sequence of functional data. T…