Directional statistics and filtering using libDirectional
In this paper, we present libDirectional, a MATLAB library for directional statistics and
directional estimation. It supports a variety of commonly used distributions on the unit circle …
directional estimation. It supports a variety of commonly used distributions on the unit circle …
[HTML][HTML] Stochastic 3D microstructure modeling of twinned polycrystals for investigating the mechanical behavior of γ-TiAl intermetallics
P Rieder, M Neumann, LM Fernandes, A Mulard… - Computational Materials …, 2024 - Elsevier
A stochastic 3D microstructure model for polycrystals is introduced which incorporates two
types of twin grains, namely neighboring and inclusion twins. They mimic the presence of …
types of twin grains, namely neighboring and inclusion twins. They mimic the presence of …
[HTML][HTML] Scale and curvature effects in principal geodesic analysis
D Lazar, L Lin - Journal of Multivariate Analysis, 2017 - Elsevier
There is growing interest in using the close connection between differential geometry and
statistics to model smooth manifold-valued data. In particular, much work has been done …
statistics to model smooth manifold-valued data. In particular, much work has been done …
Kernel Stein Discrepancy on Lie Groups: Theory and Applications
Distributional approximation is a fundamental problem in machine learning with numerous
applications across all fields of science and engineering and beyond. The key challenge in …
applications across all fields of science and engineering and beyond. The key challenge in …
[HTML][HTML] Nonparametric confidence regions for the central orientation of random rotations
Three-dimensional orientation data, with observations as 3× 3 rotation matrices, have
applications in areas such as computer science, kinematics and materials sciences, where it …
applications in areas such as computer science, kinematics and materials sciences, where it …
Controlling Separation in Generating Samples for Logistic Regression Models
HTT Pham, H Pham - Mathematical Methods of Statistics, 2024 - Springer
Separation has a significant impact on parameter estimates for logistic regression models in
frequentist approach and in Bayesian approach. When separation presents in a sample, the …
frequentist approach and in Bayesian approach. When separation presents in a sample, the …
The package: nonparametric regression using local rotation matrices in
M Di Marzio, S Fensore, G Lafratta… - Journal of Statistical …, 2021 - Taylor & Francis
The package implements nonparametric (smooth) regression for spherical data in, and is
freely available from the Comprehensive Archive Network (CRAN), licensed under the MIT …
freely available from the Comprehensive Archive Network (CRAN), licensed under the MIT …
Stereology and automated measurement of the human brain
KM Yin - 2018 - era.ed.ac.uk
As the CAVALIERI method is a design-unbiased method, the main source of potential bias
(ie if a biased method is applied the mean of the estimated values deviates significantly from …
(ie if a biased method is applied the mean of the estimated values deviates significantly from …
[PDF][PDF] A Complete Bibliography of Publications in R News and the R Journal
NHF Beebe - 2021 - ctan.math.utah.edu
A Complete Bibliography of Publications in R News and the R Journal Page 1 A Complete
Bibliography of Publications in R News and the R Journal Nelson HF Beebe University of …
Bibliography of Publications in R News and the R Journal Nelson HF Beebe University of …
Fake uniformity in a shape inversion formula
C Rau - Brazilian Journal of Probability and Statistics, 2019 - JSTOR
Fake uniformity in a shape inversion formula Page 1 Brazilian Journal of Probability and
Statistics 2019, Vol. 33, No. 3, 549–557 https://doi.org/10.1214/18-BJPS402 © Brazilian …
Statistics 2019, Vol. 33, No. 3, 549–557 https://doi.org/10.1214/18-BJPS402 © Brazilian …