A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain-Reference-Cited by-同舟云学术

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A Spatial Modeling Approach for Linguistic Object Data: Analyzing Dialect Sound Variations Across Great Britain

Published:2019-07-03 Issue:527 Volume:114 Page:1081-1096
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Tavakoli Shahin¹^ORCID,Pigoli Davide²^ORCID,Aston John A. D.³,Coleman John S.⁴

Affiliation:

1. Department of Statistics, University of Warwick, Coventry, UK;

2. Department of Mathematics, King’s College London, London, UK;

3. Statistical Laboratory, University of Cambridge, Cambridge, UK;

4. Phonetics Laboratory, University of Oxford, Oxford, UK

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2019.1607357

Reference48 articles.

1. Log-Euclidean metrics for fast and simple calculus on diffusion tensors

2. Geometric Means in a Novel Vector Space Structure on Symmetric Positive‐Definite Matrices

3. Linguistic pitch analysis using functional principal component mixed effect models

4. Local linear regression for functional predictor and scalar response

5. Global and local distance-based generalized linear models

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1. Variation in fine phonetic detail can modulate the outcome of sound change: The case of stop gradation and laryngeal contrast implementation in Jutland Danish;Journal of Phonetics;2024-09

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3. Exploring British Accents: Modelling the Trap–Bath Split with Functional Data Analysis;Journal of the Royal Statistical Society Series C: Applied Statistics;2022-04-21

4. Computation-free nonparametric testing for local spatial association with application to the US and Canadian electorate;Spatial Statistics;2022-04

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