GianlucaMastrantonio/toroidal_projected_normal: V0.1

R package implementing Bayesian MCMC estimation for the (hyper-)toroidal projected normal distribution and a related wrapped Cauchy copula model for hypertoroidal data, proposed in Kato, Mastrantonio and Ishikawa, “An interpretable family of projected normal distributions and a related copula model for Bayesian analysis of hypertoroidal data” (arXiv:2508.16432). The repository also includes the scripts and data to reproduce the simulation study and the real-data application of the paper.

Authors

Publication Details

Journal
PORTO@Iris
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.24020310
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

GianlucaMastrantonio/toroidal_projected_normal: V0.1

GianlucaMastrantonio
1 links
PORTO@Iris
Statistical Distribution Estimation and Applications
article

GianlucaMastrantonio/toroidal_projected_normal: V0.1

GianlucaMastrantonio
article en

Abstract

R package implementing Bayesian MCMC estimation for the (hyper-)toroidal projected normal distribution and a related wrapped Cauchy copula model for hypertoroidal data, proposed in Kato, Mastrantonio and Ishikawa, “An interpretable family of projected normal distributions and a related copula model for Bayesian analysis of hypertoroidal data” (arXiv:2508.16432). The repository also includes the scripts and data to reproduce the simulation study and the real-data application of the paper.

PORTO@Iris
Openalex Percentile: Top 20%
Statistical Distribution Estimation and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon