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Mainstream statistical methodology is generally applicable to data observed in Euclidean space.
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Bhattacharya, S. and SenGupta, A. (2009b) · 2009
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Statistical challenges in the analysis of cosmic microwave background radiation
Cabella, P. and Marinucci, D. (2009) · 2009
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Joint spatio-temporal analysis of a linear and a directional variable: space-time modeling of wave heights and wave directions in the Adriatic Sea
Wang, F., Gelfand, A. E., and Jona-Lasinio, G. (2015) · 2015
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A tractable, parsimonious and flexible model for cylindrical data, with applications
Abe, T. and Ley, C. (2017) · 2016
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Detecting influential observations in Watson data
Barros, C. M., Amaral, G. J. A., Nascimento, A. D. C., and Cysneiros, A. H. M. A. (2017) · 2016
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Nonparametric estimation of trend in directional data
Beran, R. (2016) · 2016
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A note on nonparametric estimation of circular conditional densities
Di Marzio, M., Fensore, S., Panzera, A., and Taylor, C. C. (2016a) · 2016
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Practical performance of local likelihood for circular density estimation
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Intrinsic mean shift for clustering on Stiefel and Grassmann manifolds
Cetingul, H. E. and Vidal, R. (2009) · 2009
Cited alongside, same era.
On projection-based tests for directional and compositional data
Cuesta-Albertos, J. A., Cuevas, A., and Fraiman, R. (2009) · 2009
Cited alongside, same era.
Robust designs for 3D shape analysis with spherical harmonic descriptors
Dette, H. and Wiens, D. P. (2009) · 2009
Cited alongside, same era.
Local polynomial regression for circular predictors
Di Marzio, M., Panzera, A., and Taylor, C. C. (2009) · 2009
Cited alongside, same era.
Convolution on the n n -sphere with application to pdf modeling
Dokmanic, I. and Petrinovic, D. (2010) · 2009
Cited alongside, same era.
Information theoretic results for circular distributions
Gatto, R. (2009) · 2009
Cited alongside, same era.
Di Marzio, M., Fensore, S., Panzera, A., and Taylor, C. C. (2016b) · 2016
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Statistical Shape Analysis with Applications in R
Dryden, I. L. and Mardia, K. V. (2016) · 2016
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Exact Bayesian inference for the Bingham distribution
Fallaize, C. J. and Kypraios, T. (2016) · 2016
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Discriminative directional classifiers
Fernandes, K. and Cardoso, J. S. (2016) · 2016
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CircNNTSR: an R package for the statistical analysis of circular, multivariate circular, and spherical data using nonnegative trigonometric sums
Fernández-Durán, J. J. and Gregorio-Domínguez, M. M. (2016) · 2016
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On a mixture model for directional data on the sphere
Franke, J., Redenbach, C., and Zhang, N. (2016) · 2016
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Testing parametric models in linear-directional regression
García-Portugués, E., Van Keilegom, I., Crujeiras, R. M., and González-Manteiga, W. (2016) · 2016
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CircOutlier: Detection of Outliers in Circular-Circular Regression
Ghazanfarihesari, A. and Sarmad, M. (2016) · 2016
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Hierarchical Bayesian small area estimation for circular data
Hernandez-Stumpfhauser, D., Breidt, F. J., and Opsomer, J. D. (2016) · 2016
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The circular SiZer, inferred persistence of shape parameters and application to early stem cell differentiation
Huckemann, S., Kim, K.-R., Munk, A., Rehfeldt, F., Sommerfeld, M., Weickert, J., and Wollnik, C. (2016) · 2016
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A general setting for symmetric distributions and their relationship to general distributions
Jupp, P. E., Regoli, G., and Azzalini, A. (2016) · 2016
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Robust estimation of location and concentration parameters for the von Mises-Fisher distribution
Kato, S. and Eguchi, S. (2016) · 2016
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Fuzzy c c -means clustering algorithm for directional data (FCM4DD)
Kesemen, O., Tezel, Ö., and Özkul, E. (2016) · 2016
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Regression analysis of correlated circular data based on the multivariate von Mises distribution
Lagona, F. (2016) · 2016
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Model-based segmentation of spatial cylindrical data
Lagona, F. and Picone, M. (2016) · 2016
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Extrinsic local regression on manifold-valued data
Lin, L., St. Thomas, B., Zhu, H., and Dunson, D. B. (2017) · 2016
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Sequential rank CUSUM charts for angular data
Lombard, F., Hawkins, D. M., and Potgieter, C. J. (2017) · 2016
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Score matching estimators for directional distributions
Mardia, K. V., Kent, J. T., and Laha, A. K. (2016) · 2016
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Analyzing longitudinal circular data by projected normal models: a semi-parametric approach based on finite mixture models
Maruotti, A. (2016) · 2016
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A time-dependent extension of the projected normal regression model for longitudinal circular data based on a hidden Markov heterogeneity structure
Maruotti, A., Punzo, A., Mastrantonio, G., and Lagona, F. (2016) · 2016
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Hidden Markov model for discrete circular-linear wind data time series
Mastrantonio, G. and Calise, G. (2016) · 2016
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A general hidden state random walk model for animal movement
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Paindaveine, D. and Verdebout, T. (2016) · 2016
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Directional kernel density estimation for classification of breast tissue spectra
Pardo, A., Real, E., Krishnaswamy, V., López-Higuera, J. M., Pogue, B. W., and Conde, O. M. (2017) · 2016
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Parametric bootstrap goodness-of-fit testing for Wehrly-Johnson bivariate circular distributions
Pewsey, A. and Kato, S. (2016) · 2016
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A general angular regression model for the analysis of data on animal movement in ecology
Rivest, L.-P., Duchesne, T., Nicosia, A., and Fortin, D. (2016) · 2016
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JCLMM: A finite mixture model for clustering of circular-linear data and its application to psoriatic plaque segmentation
Roy, A., Pal, A., and Garain, U. (2017) · 2016
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Circular piecewise regression with applications to cell-cycle data
Rueda, C., Fernández, M. A., Barragán, S., Mardia, K. V., and Peddada, S. D. (2016) · 2016
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A directional mixed effects model for compositional expenditure data
Scealy, J. L. and Welsh, A. H. (2017) · 2016
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Analyzing infant head flatness and asymmetry using kernel density estimation of directional surface data from a craniofacial 3D model
Vuollo, V., Holmström, L., Aarnivala, H., Harila, V., Heikkinen, T., Pirttiniemi, P., and Valkama, A. M. (2016) · 2016
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VMF-SNE: embedding for spherical data
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Hidden Markov Models for Time Series
Zucchini, W., MacDonald, I. L., and Langrock, R. (2016) · 2016
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R package circular: Circular Statistics
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On the estimation of the density of a directional data stream
Amiri, A., Thiam, B., and Verdebout, T. (2017) · 2017
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Circular order aggregation and its application to cell-cycle genes expressions
Barragán, S., Rueda, C., and Fernández, M. A. (2017) · 2017
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Regression models on Riemannian symmetric spaces
Cornea, E., Zhu, H., Kim, P., and Ibrahim, J. G. (2017) · 2017
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Nonparametric estimating equations for circular probability density functions and their derivatives
Di Marzio, M., Fensore, S., Panzera, A., and Taylor, C. C. (2017) · 2017
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Nonparametric rotations for sphere-sphere regression
Di Marzio, M., Panzera, A., and Taylor, C. C. (2019c) · 2017
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Multivariate goodness-of-fit on flat and curved spaces via nearest neighbor distances
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Bootstrap and permutation tests in ANOVA for directional data
Figueiredo, A. (2017) · 2017
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Bringing the analysis of animal orientation data full circle: model-based approaches with maximum likelihood
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Multivariate saddlepoint tests on the mean direction of the von Mises-Fisher distribution
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Cusum control for data following the von Mises distribution
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The general projected normal distribution of arbitrary dimension: modeling and Bayesian inference
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A two-level directional model for dependence in circular data
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Consequences of grouped data for testing for departure from circular uniformity
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Collective motions of globally coupled oscillators and some probability distributions on circle
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Spherical process models for global spatial statistics
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A new unified approach for the simulation of a wide class of directional distributions
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Efficient ANOVA for directional data
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Skew-rotationally-symmetric distributions and related efficient inferential procedures
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Detection of outliers in univariate circular data using robust circular distance
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Nonparametric dynamic state space modeling of observed circular time series with circular latent states: a Bayesian perspective
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Bayesian estimation and hypothesis tests for a circular generalized linear model
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The multivariate generalised von Mises distribution: inference and applications
Navarro, A. K. W., Frellsen, J., and Turner, R. E. (2017) · 2017
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Frobenius norm regularization for the multivariate von Mises distribution
Rodriguez-Lujan, L., Bielza, C., and Larrañaga, P. (2017) · 2017
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An improved test of equality of mean directions for the Langevin-von Mises-Fisher distribution
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Social regularized von Mises-Fisher mixture model for item recommendation
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Tsuruta, Y. and Sagae, M. (2017b) · 2017
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Circular interpretation of regression coefficients
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Principal component analysis for functional data on Riemannian manifolds and spheres
Dai, X. and Müller, H.-G. (2018) · 2018
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Kernel density classification for spherical data
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Local binary regression with spherical predictors
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Torus principal component analysis with applications to RNA structure
Eltzner, B., Huckemann, S., and Mardia, K. V. (2018) · 2018
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A review of uniformity tests on the hypersphere
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bReeze: Functions for Wind Resource Assessment
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Strictly positive definite multivariate covariance functions on spheres
Guella, J. C., Menegatto, V. A., and Porcu, E. (2018) · 2018
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A new multimodal and asymmetric bivariate circular distribution
Hassanzadeh, F. and Kalaylioglu, Z. (2018) · 2018
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Spatial and spatio-temporal circular processes with application to wave directions
Jona-Lasinio, G., Gelfand, A. E., and Mastrantonio, G. (2018) · 2018
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Circulas from Fourier series
Kato, S., Pewsey, A., and Jones, M. C. (2018) · 2018
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Directional statistical Gabor features for texture classification
Kim, N. C. and So, H. J. (2018) · 2018
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On the exact maximum likelihood inference of Fisher-Bingham distributions using an adjusted holonomic gradient method
Kume, A. and Sei, T. (2018) · 2018
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Correlated cylindrical data
Lagona, F. (2018) · 2018
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Circular data in biology: advice for effectively implementing statistical procedures
Landler, L., Ruxton, G. D., and Malkemper, E. P. (2018) · 2018
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Increasing domain asymptotics for the first Minkowski functional of spherical random fields
Leonenko, N. N. and Ruiz-Medina, M. D. (2018) · 2018
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Applied Directional Statistics
Ley, C. and Verdebout, T. (Eds.) (2018) · 2018
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Nonparametric regression using needlet kernels for spherical data
Lin, S.-B. (2019) · 2018
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A new estimation methodology for standard directional distributions
Mardia, K. (2018) · 2018
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Directional statistics in protein bioinformatics
Mardia, K. V., Foldager, J. I., and Frellsen, J. (2018) · 2018
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Bayesian nonparametric inference for the overlap of daily animal activity patterns
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An elliptically symmetric angular Gaussian distribution
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Barycentric subspace analysis on manifolds
Pennec, X. (2018) · 2018
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Applied directional statistics with R: an overview
Pewsey, A. (2018) · 2018
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Segmentation of sea current fields by cylindrical hidden Markov models: a composite likelihood approach
Ranalli, M., Lagona, F., Picone, M., and Zambianchi, E. (2018) · 2018
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Rivest, L.-P. and Oualkacha, K. (2018) · 2018
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A new test of discordancy in cylindrical data
Sadikon, N. H., Ibrahim, A. I. N., Mohamed, I., and Shimizu, K. (2019) · 2018
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Minimum distance method for directional data and outlier detection
Sau, M. F. and Rodriguez, D. (2018) · 2018
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PyCircStat: Circular Statistics with Python
Sinz, F., Berens, B., Kuemmerer, M., and Wallis, T. (2018) · 2018
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Directional statistics in machine learning: a brief review
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Bayesian optimality for Beran’s class of tests of uniformity around the circle
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Scoring rules for statistical models on spheres
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nprotreg: Nonparametric Rotations for Sphere-Sphere Regression
Taylor, C. C., Lafratta, G., and Fensore, S. (2018) · 2018
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Properties for circular nonparametric regressions by von Miese and wrapped Cauchy kernels
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A scale space approach for exploring structure in spherical data
Vuollo, V. and Holmstrom, L. (2018) · 2018
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An investigation of wind direction and speed in a featured wind farm using joint probability distribution methods
Zhang, L., Li, Q., Guo, Y., Yang, Z., and Zhang, L. (2018) · 2018
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A clustering Bayesian approach for multivariate non-ordered circular data
Abraham, C., Servien, R., and Molinari, N. (2019) · 2019
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Possibilistic c-means clustering on directional data
Benjamin, J. B. M., Hussain, I., and Yang, M.-S. (2019) · 2019
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BAMBI: Bivariate Angular Mixture Models
Chakraborty, S. and Wong, S. W. K. (2019) · 2019
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Regression models for cylindrical data in psychology
Cremers, J., Pennings, H. J. M., and Ley, C. (2020) · 2019
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Principal symmetric space analysis
Curry, C., Marsland, S., and McLachlan, R. I. (2019) · 2019
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The cosine depth distribution classifier for directional data
Demni, H., Messaoud, A., and Porzio, G. C. (2019) · 2019
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Optimal designs for regression with spherical data
Dette, H., Konstantinou, M., Schorning, K., and Gösmann, J. (2019) · 2019
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shapes: Statistical Shape Analysis
Dryden, I. L. (2019) · 2019
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A smeary central limit theorem for manifolds with application to high-dimensional spheres
Eltzner, B. and Huckemann, S. F. (2019) · 2019
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On optimal tests for rotational symmetry against new classes of hyperspherical distributions
García-Portugués, E., Paindaveine, D., and Verdebout, T. (2020b) · 2019
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Langevin diffusions on the torus: estimation and applications
García-Portugués, E., Sørensen, M., Mardia, K. V., and Hamelryck, T. (2019) · 2019
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depth: Nonparametric Depth Functions for Multivariate Analysis
Genest, M., Masse, J.-C., and Plante, J.-F. (2019) · 2019
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Non-subjective priors for wrapped Cauchy distributions
Ghosh, M., Zhong, X., SenGupta, A., and Zhang, R. (2019) · 2019
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Objective Bayesian inference with proper scoring rules
Giummolè, F., Mameli, V., Ruli, E., and Ventura, L. (2019) · 2019
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Backward nested descriptors asymptotics with inference on stem cell differentiation
Huckemann, S. F. and Eltzner, B. (2018) · 2019
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A cylindrical distribution with heavy-tailed linear part
Imoto, T., Shimizu, K., and Abe, T. (2019) · 2019
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Harmonic analysis and distribution-free inference for spherical distributions
Jammalamadaka, S. R. and Terdik, G. H. (2019) · 2019
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Simulation of conditioned diffusions on the flat torus
Jensen, M. H., Mallasto, A., and Sommer, S. (2019) · 2019
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Measures of goodness of fit obtained by almost-canonical transformations on Riemannian manifolds
Jupp, P. E. and Kume, A. (2020) · 2019
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Small-sphere distributions for directional data with application to medical imaging
Kim, B., Huckemann, S., Schulz, J., and Jung, S. (2019) · 2019
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Directional statistics and filtering using libDirectional
Kurz, G., Gilitschenski, I., Pfaff, F., Drude, L., Hanebeck, U. D., Haeb-Umbach, R., and Siegwart, R. Y. (2019) · 2019
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SB-robust estimation of mean direction for some new circular distributions
Laha, A. K., Raja, A. C. P., and Mahesh, K. C. (2019) · 2019
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Circular statistics meets practical limitations: a simulation-based Rao’s spacing test for non-continuous data
Landler, L., Ruxton, G. D., and Malkemper, E. P. (2019) · 2019
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Circular Bayesian classifiers using wrapped Cauchy distributions
Leguey, I., Bielza, C., and Larrañaga, P. (2019a) · 2019
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A circular-linear dependence measure under Johnson-Wehrly distributions and its application in Bayesian networks
Leguey, I., Larrañaga, P., Bielza, C., and Kato, S. (2019b) · 2019
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Doubly stochastic neighbor embedding on spheres
Lu, Y., Corander, J., and Yang, Z. (2019) · 2019
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Invariance properties and statistical inference for circular data
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Le Cam maximin tests for symmetry of circular data based on the characteristic function
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Estimation of finite mixture models of skew-symmetric circular distributions
Miyata, Y., Shiohama, T., and Abe, T. (2019) · 2019
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Mixtures of peaked power Batschelet distributions for circular data with application to saccade directions
Mulder, K., Klugkist, I., van Renswoude, D., and Visser, I. (2020b) · 2019
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A multivariate projected gamma model for directional data
Núñez-Antonio, G. and Geneyro, E. (2020) · 2019
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Adaptive optimal kernel density estimation for directional data
Pham Ngoc, T. M. (2019) · 2019
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A random-effects model for clustered circular data
Rivest, L.-P. and Kato, S. (2019) · 2019
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A Bayesian mixture model for clustering circular data
Rodríguez, C. E., Núñez-Antonio, G., and Escarela, G. (2020) · 2019
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A test for isotropy on a sphere using spherical harmonic functions
Sahoo, I., Guinness, J., and Reich, B. J. (2019) · 2019
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Directional co-clustering
Salah, A. and Nadif, M. (2019) · 2019
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Scaled von Mises–Fisher distributions and regression models for paleomagnetic directional data
Scealy, J. L. and Wood, A. T. A. (2019) · 2019
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plot3D: Plotting Multi-Dimensional Data
Soetaert, K. (2019) · 2019
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An infinitesimal probabilistic model for principal component analysis of manifold valued data
Sommer, S. (2019) · 2019
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Comparison of discriminant analysis methods on the sphere
Tsagris, M. and Alenazi, A. (2019) · 2019
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Area-proportional visualization for circular data
Xu, D. and Wang, Y. (2020) · 2019
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On circular correlation for data on the torus
Zhan, X., Ma, T., Liu, S., and Shimizu, K. (2019) · 2019
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Robust comparison of kernel densities on spherical domains
Zhang, Z., Klassen, E., and Srivastava, A. (2019) · 2019
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rgl: 3D Visualization Using OpenGL
Adler, D., Murdoch, D., et al. (2020) · 2020
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On optimal tests for circular reflective symmetry about an unknown central direction
Ameijeiras-Alonso, J., Ley, C., Pewsey, A., and Verdebout, T. (2020) · 2020
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season: Analysing Seasonal Data R Functions
Barnett, A. and Baker, P. (2020) · 2020
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Estimating the mean direction of strongly dependent circular time series
Beran, J. and Ghosh, S. (2020) · 2020
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bpDir: Boxplots for Directional Data
Buttarazzi, D. (2020) · 2020
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Multiple testing of local maxima for detection of peaks on the (celestial) sphere
Cheng, D., Cammarota, V., Fantaye, Y., Marinucci, D., and Schwartzman, A. (2020) · 2020
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bpnreg: Bayesian Projected Normal Regression Models for Circular Data
Cremers, J. (2020) · 2020
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On the power of axial tests of uniformity on spheres
Cutting, C., Paindaveine, D., and Verdebout, T. (2020) · 2020
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