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Journal of the American Statistical Association Volume 109, 2014 - Issue 506
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Theory and Methods

Nonparametric Regression for Spherical Data

Marco Di Marzio
,
Agnese Panzera
&
Charles C. Taylor
Pages 748-763 | Received 01 Dec 2012, Published online: 13 Jun 2014

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María Alonso-Pena, Irène Gijbels & Rosa M. Crujeiras. (2023) A General Framework for Circular Local Likelihood Regression. Journal of the American Statistical Association 0:0, pages 1-25.
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Hang Li & Enrique Del Castillo. (2022) Optimal Design of Experiments on Riemannian Manifolds. Journal of the American Statistical Association 0:0, pages 1-12.
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Xu Qin & Yu Q. Zhang. (2022) Non parametric covariance model with circular condition and its application. Communications in Statistics - Theory and Methods 51:22, pages 7819-7829.
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Marco Di Marzio, Stefania Fensore, Giovanni Lafratta & Charles C. Taylor. (2021) The package: nonparametric regression using local rotation matrices in. Journal of Statistical Computation and Simulation 91:11, pages 2289-2306.
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M. Alonso-Pena, J. Ameijeiras-Alonso & R. M. Crujeiras. (2021) Nonparametric tests for circular regression. Journal of Statistical Computation and Simulation 91:3, pages 477-500.
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J. L. Scealy & Andrew T. A. Wood. (2019) Scaled von Mises–Fisher Distributions and Regression Models for Paleomagnetic Directional Data. Journal of the American Statistical Association 114:528, pages 1547-1560.
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Marco Di Marzio, Agnese Panzera & Charles C. Taylor. (2019) Nonparametric Rotations for Sphere-Sphere Regression. Journal of the American Statistical Association 114:525, pages 466-476.
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Masaki Kudo & Kanta Naito. (2017) Data sharpening on unknown manifold. Communications in Statistics - Theory and Methods 46:23, pages 11721-11744.
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Lizhen Lin, Brian St. Thomas, Hongtu Zhu & David B. Dunson. (2017) Extrinsic Local Regression on Manifold-Valued Data. Journal of the American Statistical Association 112:519, pages 1261-1273.
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Satyaki Mazumder & Sourabh Bhattacharya. (2016) Bayesian nonparametric dynamic state space modeling with circular latent states. Journal of Statistical Theory and Practice 10:1, pages 154-178.
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Giwhyun Lee, Yu Ding, Marc G. Genton & Le Xie. (2015) Power Curve Estimation With Multivariate Environmental Factors for Inland and Offshore Wind Farms. Journal of the American Statistical Association 110:509, pages 56-67.
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Articles from other publishers (23)

Xu Qin & Huiqun Gao. (2023) Nonparametric binary regression models with spherical predictors based on the random forests kernel. Computational Statistics.
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Ottmar Cronie, Mehdi Moradi & Christophe A N Biscio. (2023) A cross-validation-based statistical theory for point processes. Biometrika.
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Tien Dat Nguyen, Thanh Mai Pham Ngoc & Vincent Rivoirard. (2023) Adaptive warped kernel estimation for nonparametric regression with circular responses. Electronic Journal of Statistics 17:2.
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Yasuhito Tsuruta & Masahiko Sagae. (2022) Improving kernel-based nonparametric regression for circular–linear data. Japanese Journal of Statistics and Data Science 5:1, pages 111-131.
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Satarupa Bhattacharjee & Hans-Georg Müller. (2022) Concurrent object regression. Electronic Journal of Statistics 16:2.
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M. Di Marzio, A. Panzera, S. Fensore & C. C. Taylor. 2022. Directional Statistics for Innovative Applications. Directional Statistics for Innovative Applications 83 92 .
Jayant Jha & Atanu Biswas. 2022. Directional Statistics for Innovative Applications. Directional Statistics for Innovative Applications 333 348 .
Thomas Verdebout. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online 1 9 .
Jeong Min Jeon, Byeong U. Park & Ingrid Van Keilegom. (2021) Additive regression for non-Euclidean responses and predictors. The Annals of Statistics 49:5.
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Andrea Meilán-Vila, Mario Francisco-Fernández, Rosa M. Crujeiras & Agnese Panzera. (2020) Nonparametric multiple regression estimation for circular response. TEST 30:3, pages 650-672.
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Huiqun Gao & Xu Qin. (2021) Application of the Random Forest Kernel in Nonparametric Regression Model with Spherical Variables. Application of the Random Forest Kernel in Nonparametric Regression Model with Spherical Variables.
Stephan F. Huckemann & Benjamin Eltzner. (2020) Data analysis on nonstandard spaces . WIREs Computational Statistics 13:3.
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Arthur Pewsey & Eduardo García-Portugués. (2021) Recent advances in directional statistics. TEST 30:1, pages 1-58.
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Jayant Jha & Atanu Biswas. (2020) Orientation relationship in finite dimensional space. Scandinavian Journal of Statistics 47:3, pages 1011-1034.
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P. J. Paine, S. P. Preston, M. Tsagris & Andrew T. A. Wood. (2019) Spherical regression models with general covariates and anisotropic errors. Statistics and Computing 30:1, pages 153-165.
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Shao-Bo Lin. (2019) Nonparametric regression using needlet kernels for spherical data. Journal of Complexity 50, pages 66-83.
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Holger Dette, Maria Konstantinou, Kirsten Schorning & Josua Gösmann. (2019) Optimal designs for regression with spherical data. Electronic Journal of Statistics 13:1.
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Marco Di Marzio, Stefania Fensore, Agnese Panzera & Charles C. Taylor. (2019) Local binary regression with spherical predictors. Statistics & Probability Letters 144, pages 30-36.
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Marco Di Marzio, Stefania Fensore, Agnese Panzera & Charles C. Taylor. (2019) Kernel density classification for spherical data. Statistics & Probability Letters 144, pages 23-29.
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Fedele Greco, Massimo Ventrucci & Elisa Castelli. (2018) P-spline smoothing for spatial data collected worldwide. Spatial Statistics 27, pages 1-17.
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Eduardo GarcÍa‐Portugués, Ingrid Van Keilegom, Rosa M. Crujeiras and & Wenceslao González‐Manteiga. (2016) Testing parametric models in linear‐directional regression. Scandinavian Journal of Statistics 43:4, pages 1178-1191.
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Antonello Maruotti. (2016) Analyzing longitudinal circular data by projected normal models: a semi-parametric approach based on finite mixture models. Environmental and Ecological Statistics 23:2, pages 257-277.
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Marco Di Marzio, Agnese Panzera & Catia Venieri. (2014) Non-parametric regression for compositional data. Statistical Modelling 15:2, pages 113-133.
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