Robust Wrapped Gaussian Process Inference for Noisy Angular Data
Fuente:
arXiv
Saved in:
| Main Authors: | Cooper, Andrew, Strait, Justin, Dorn, Mary Frances, Gramacy, Robert B., Parsons, Brendon, Cattaneo, Alessandro |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nonstationary Gaussian Process Surrogates
by: Booth, Annie S., et al.
Published: (2023)
by: Booth, Annie S., et al.
Published: (2023)
Large Wave Direction Data Modeling Using Wrapped Spatial Gaussian Markov Random Fields
by: Hazra, Arnab
Published: (2026)
by: Hazra, Arnab
Published: (2026)
Enhancing Electrocardiography Data Classification Confidence: A Robust Gaussian Process Approach (MuyGPs)
by: Nnyaba, Ukamaka V., et al.
Published: (2024)
by: Nnyaba, Ukamaka V., et al.
Published: (2024)
Bayesian Statistical Inversion for High-Dimensional Computer Model Output and Spatially Distributed Counts
by: Barnett, Steven D., et al.
Published: (2025)
by: Barnett, Steven D., et al.
Published: (2025)
Robust Rank Estimation for Noisy Matrices
by: Roy, Subhrajyoty, et al.
Published: (2025)
by: Roy, Subhrajyoty, et al.
Published: (2025)
Synthesizing data products, mathematical models, and observational measurements for lake temperature forecasting
by: Holthuijzen, Maike F., et al.
Published: (2024)
by: Holthuijzen, Maike F., et al.
Published: (2024)
Augmented Doubly Robust Post-Imputation Inference for Proteomic Data
by: Moon, Haeun, et al.
Published: (2024)
by: Moon, Haeun, et al.
Published: (2024)
Efficient Inference for Noisy LLM-as-a-Judge Evaluation
by: Chen, Yiqun T, et al.
Published: (2026)
by: Chen, Yiqun T, et al.
Published: (2026)
An Integrated Time-Varying Ornstein-Uhlenbeck Process for Jointly Modeling Individual and Population-Level Movement of Golden Eagles
by: Shull, Michael L., et al.
Published: (2025)
by: Shull, Michael L., et al.
Published: (2025)
Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
by: Peruzzi, Michele, et al.
Published: (2021)
by: Peruzzi, Michele, et al.
Published: (2021)
Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories
by: Cai, Jiachen, et al.
Published: (2023)
by: Cai, Jiachen, et al.
Published: (2023)
Randomization Inference for Before-and-After Studies with Multiple Units: An Application to a Criminal Procedure Reform in Uruguay
by: Cattaneo, Matias D., et al.
Published: (2024)
by: Cattaneo, Matias D., et al.
Published: (2024)
Sensitivity Analysis in the Presence of Intrinsic Stochasticity for Discrete Fracture Network Simulations
by: Murph, Alexander C., et al.
Published: (2023)
by: Murph, Alexander C., et al.
Published: (2023)
Mind the Jumps: A Scalable Robust Local Gaussian Process for Multidimensional Response Surfaces with Discontinuities
by: Adjetey, Isaac, et al.
Published: (2025)
by: Adjetey, Isaac, et al.
Published: (2025)
Gaussian Process with dissolution spline kernel
by: Murphy, Fiona, et al.
Published: (2024)
by: Murphy, Fiona, et al.
Published: (2024)
Analyzing Process Data from Computer-Based Assessments: A Tutorial on Preprocessing, Feature Extraction, and Model-Based Inference
by: Hwangbo, Daeun, et al.
Published: (2026)
by: Hwangbo, Daeun, et al.
Published: (2026)
A Gaussian Process Model for Ordinal Data with Applications to Chemoinformatics
by: Gosnell, Arron, et al.
Published: (2024)
by: Gosnell, Arron, et al.
Published: (2024)
On Robust Inference in Time Series Regression
by: Baillie, Richard T., et al.
Published: (2022)
by: Baillie, Richard T., et al.
Published: (2022)
Robust Inference for Dyadic Data with Dependent Ordered Nodes
by: Hounyo, Ulrich, et al.
Published: (2026)
by: Hounyo, Ulrich, et al.
Published: (2026)
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
by: May, Paul B., et al.
Published: (2025)
by: May, Paul B., et al.
Published: (2025)
Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
by: Yang, Yumo, et al.
Published: (2025)
by: Yang, Yumo, et al.
Published: (2025)
Integrated Gaussian Processes for Robust and Adaptive Multi-Object Tracking
by: Lydeard, Fred, et al.
Published: (2025)
by: Lydeard, Fred, et al.
Published: (2025)
lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
by: Cattaneo, Matias D., et al.
Published: (2022)
by: Cattaneo, Matias D., et al.
Published: (2022)
A Gaussian Process Regression IV Model for PV Outdoor Data
by: Timon S. Vaas, et al.
Published: (2025)
by: Timon S. Vaas, et al.
Published: (2025)
Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
by: Dimitriou, Evangelos, et al.
Published: (2024)
by: Dimitriou, Evangelos, et al.
Published: (2024)
Causal Inference for Circular Data
by: Wu, Kuan-Hsun
Published: (2025)
by: Wu, Kuan-Hsun
Published: (2025)
Rotational Kinematics in the Globular Cluster System of M31: Insights from Bayesian Inference
by: Li, Yuan, et al.
Published: (2026)
by: Li, Yuan, et al.
Published: (2026)
Exchangeable Gaussian Processes with application to epidemics
by: Bouranis, Lampros, et al.
Published: (2025)
by: Bouranis, Lampros, et al.
Published: (2025)
Vector Optimization with Gaussian Process Bandits
by: Korkmaz, İlter Onat, et al.
Published: (2024)
by: Korkmaz, İlter Onat, et al.
Published: (2024)
Nonlocal Prior Mixture-Based Bayesian Wavelet Regression with Application to Noisy Imaging and Audio Data
by: Sanyal, Nilotpal
Published: (2025)
by: Sanyal, Nilotpal
Published: (2025)
Bayesian Hierarchical Modelling of Noisy Gamma Processes: Model Formulation, Identifiability, Model Fitting, and Extensions to Unit-to-Unit Variability
by: Leadbetter, Ryan, et al.
Published: (2024)
by: Leadbetter, Ryan, et al.
Published: (2024)
Analyzing Pension Fund Mortality with Gaussian Processes in a Sub Population Framework
by: de Melo, Eduardo F. L., et al.
Published: (2025)
by: de Melo, Eduardo F. L., et al.
Published: (2025)
Estimating Velocity Vector Fields of Atmospheric Winds using Transport Gaussian Processes
by: Fahmy, Youssef, et al.
Published: (2025)
by: Fahmy, Youssef, et al.
Published: (2025)
Gaussian Process Modeling with Genotype x Environment Kernels for Wheat Performance Prediction
by: Friedli, Lea, et al.
Published: (2025)
by: Friedli, Lea, et al.
Published: (2025)
Log-Gaussian Cox Processes for Spatiotemporal Traffic Fatality Estimation in Addis Ababa
by: Abebe, Yassin Tesfaw, et al.
Published: (2024)
by: Abebe, Yassin Tesfaw, et al.
Published: (2024)
Modelling Under-Reported Data: Pitfalls of Naïve Approaches and a New Statistical Framework for Epidemic Curve Reconstruction
by: Slater, Justin J., et al.
Published: (2025)
by: Slater, Justin J., et al.
Published: (2025)
An Introduction to Causal Inference Methods with Multi-omics Data
by: Yao, Minhao, et al.
Published: (2024)
by: Yao, Minhao, et al.
Published: (2024)
Mass-Balance MRV for Carbon Dioxide Removal by Enhanced Rock Weathering: Methods, Simulation, and Inference
by: Baum, Mark, et al.
Published: (2024)
by: Baum, Mark, et al.
Published: (2024)
Gaussian Process-driven Hidden Markov Models for Early Diagnosis of Infant Gait Anomalies
by: F., Luis Torres-Torres, et al.
Published: (2025)
by: F., Luis Torres-Torres, et al.
Published: (2025)
Prospective Prediction of Body Mass Index Trajectories using Multi-task Gaussian Processes
by: Leroy, Arthur, et al.
Published: (2024)
by: Leroy, Arthur, et al.
Published: (2024)
Similar Items
-
Nonstationary Gaussian Process Surrogates
by: Booth, Annie S., et al.
Published: (2023) -
Large Wave Direction Data Modeling Using Wrapped Spatial Gaussian Markov Random Fields
by: Hazra, Arnab
Published: (2026) -
Enhancing Electrocardiography Data Classification Confidence: A Robust Gaussian Process Approach (MuyGPs)
by: Nnyaba, Ukamaka V., et al.
Published: (2024) -
Bayesian Statistical Inversion for High-Dimensional Computer Model Output and Spatially Distributed Counts
by: Barnett, Steven D., et al.
Published: (2025) -
Robust Rank Estimation for Noisy Matrices
by: Roy, Subhrajyoty, et al.
Published: (2025)