Cover Image

Torus Probabilistic Principal Component Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nodehi, Anahita, Golalizadeh, Mousa, Maadooliat, Mehdi, Agostinelli, Claudio
Format:	Preprint
Published:	2020
Subjects:	Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
by: Zhang, Xinyu, et al.
Published: (2026)

Covariance Supervised Principal Component Analysis
by: Papazoglou, Theodosios, et al.
Published: (2025)

Estimating the construct validity of Principal Components Analysis
by: Hope, Thomas M. H., et al.
Published: (2024)

Wasserstein-based Kernel Principal Component Analysis for Clustering Applications
by: Oneto, Alfredo, et al.
Published: (2025)

Uncertainties in Signal Recovery from Heterogeneous and Convoluted Time Series with Principal Component Analysis
by: Legenkaia, Mariia, et al.
Published: (2024)

Covariate-Dependent Functional Principal Component Analysis for SHM
by: Wittenberg, Philipp, et al.
Published: (2026)

Generalized Multilevel Functional Principal Component Analysis with Application to NHANES Active Inactive Patterns
by: Zhou, Xinkai, et al.
Published: (2023)

An Analysis of Pacing Profiles in Sprint Kayak Racing Using Functional Principal Components and Hidden Markov Models
by: Estreich, Harry, et al.
Published: (2024)

Principal Component Regression to Study the Impact of Economic Factors on Disadvantaged Communities
by: Mohankumar, Narmadha M., et al.
Published: (2024)

Robust Functional Principal Component Analysis for Non-Euclidean Random Objects
by: Xu, Jiazhen, et al.
Published: (2023)

Nonlinear Principal Component Analysis with Random Bernoulli Features for Process Monitoring
by: Chen, Ke, et al.
Published: (2025)

Dynamic Prediction of High-density Generalized Functional Data with Fast Generalized Functional Principal Component Analysis
by: Jin, Ying, et al.
Published: (2024)

Penalized Principal Component Analysis Using Smoothing
by: Hurwitz, Rebecca M., et al.
Published: (2023)

Fast Measuring Pavement Crack Width by Cascading Principal Component Analysis
by: Wang, Zhicheng, et al.
Published: (2025)

Robust Estimation under Linear Mixed Models: The Minimum Density Power Divergence Approach
by: Saraceno, Giovanni, et al.
Published: (2020)

Longitudinal Principal Manifold Estimation
by: Zielinski, Robert, et al.
Published: (2024)

GEEPERs: Principal Stratification using Principal Scores and Stacked Estimating Equations
by: Sales, Adam C., et al.
Published: (2022)

LASSO Principal Component Averaging -- a fully automated approach for point forecast pooling
by: Uniejewski, Bartosz, et al.
Published: (2022)

MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification
by: Meng, Xianghao, et al.
Published: (2026)

On the Proportional Principal Stratum Hazards Model
by: Sun, Jiren, et al.
Published: (2025)

Potential Landscapes Reveal Spatiotemporal Structure in Urban Mobility: Hodge Decomposition and Principal Component Analysis of Tokyo Before and During COVID-19
by: Du, Yunhan, et al.
Published: (2025)

Comparative Analysis of Global and Local Probabilistic Time Series Forecasting for Contiguous Spatial Demand Regions
by: Ling, Jiahe, et al.
Published: (2025)

Probabilistic Reconstruction of Paleodemographic Signals
by: Arthur, L. M., et al.
Published: (2023)

Do Test Scores Help Teachers Give Better Track Advice to Students? A Principal Stratification Analysis
by: Ichino, Andrea, et al.
Published: (2025)

Combining Probabilistic Forecasts of Intermittent Demand
by: Wang, Shengjie, et al.
Published: (2023)

Probabilistic Models of Profiles for Voting by Evaluation
by: Rolland, Antoine, et al.
Published: (2024)

A Probabilistic WxChallenge Proposal
by: Lawson, John R.
Published: (2025)

Principal component analysis in econometrics: a selective inference perspective
by: Matsumura, Yasuyuki, et al.
Published: (2025)

Principal stratification with continuous treatments and continuous post-treatment variables
by: Antonelli, Joseph, et al.
Published: (2023)

Probabilistic modeling of delays for train journeys with transfers
by: Stratil-Sauer, Nikolaus, et al.
Published: (2025)

Probabilistic digital twins for geotechnical design and construction
by: Cotoarbă, Dafydd, et al.
Published: (2024)

Probabilistic Analysis of Various Squash Shots and Skill Study of Different Levels of Squash Players and Teams
by: Anwekar, Prathamesh, et al.
Published: (2025)

Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
by: Dey, Debangan, et al.
Published: (2026)

A Probabilistic Framework for Estimating the Modal Age at Death
by: Patricio, Silvio C., et al.
Published: (2024)

Probabilistic Forecasts of Load, Solar and Wind for Electricity Price Forecasting
by: Uniejewski, Bartosz, et al.
Published: (2025)

Probabilistic Record Linkage of Two Gun Violence Data Sets
by: Horng, Iris, et al.
Published: (2025)

A User-Focused Approach to Evaluating Probabilistic and Categorical Forecasts
by: Loveday, Nicholas, et al.
Published: (2023)

gemlib: Probabilistic programming for epidemic models
by: Morariu, Alin, et al.
Published: (2025)

Probabilistic Downscaling for Flood Hazard Models
by: Roth, Samantha, et al.
Published: (2025)

Local Indicators of Mark Association for Spatial Marked Point Processes
by: Eckardt, Matthias, et al.
Published: (2024)