A General Purpose Approximation to the Ferguson-Klass Algorithm for Sampling from Lévy Processes Without Gaussian Components
Fuente:
arXiv
Saved in:
| Main Authors: | Bernaciak, Dawid, Griffin, Jim E. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A loss discounting framework for model averaging and selection in time series models
by: Bernaciak, Dawid, et al.
Published: (2022)
by: Bernaciak, Dawid, et al.
Published: (2022)
Fast Likelihood-Free Parameter Estimation for Lévy Processes
by: Coloma, Nicolas, et al.
Published: (2025)
by: Coloma, Nicolas, et al.
Published: (2025)
A Clustering Algorithm to Organize Satellite Hotspot Data for the Purpose of Tracking Bushfires Remotely
by: Li, Weihao, et al.
Published: (2023)
by: Li, Weihao, et al.
Published: (2023)
Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
by: Wang, Ziyou, et al.
Published: (2026)
by: Wang, Ziyou, 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)
An Approximate Maximum Likelihood Estimator for Discretely Observed Linear Birth-and-Death Processes
by: Long, Xiaochen, et al.
Published: (2025)
by: Long, Xiaochen, et al.
Published: (2025)
Beta-CoRM: A Bayesian Approach for $n$-gram Profiles Analysis
by: Perusquía, José A., et al.
Published: (2020)
by: Perusquía, José A., et al.
Published: (2020)
Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Measuring Sample Quality in Algorithms for Intractable Normalizing Function Problems
by: Kang, Bokgyeong, et al.
Published: (2021)
by: Kang, Bokgyeong, et al.
Published: (2021)
Student t-Lévy regression model in YUIMA
by: Masuda, Hiroki, et al.
Published: (2024)
by: Masuda, Hiroki, et al.
Published: (2024)
A Direct Importance Sampling-based Framework for Rare Event Uncertainty Quantification in Non-Gaussian Spaces
by: Eshra, Elsayed, et al.
Published: (2024)
by: Eshra, Elsayed, et al.
Published: (2024)
Quasi-Likelihood Analysis for Student-Lévy Regression
by: Masuda, Hiroki, et al.
Published: (2023)
by: Masuda, Hiroki, et al.
Published: (2023)
Constrained Bayesian Optimization under Bivariate Gaussian Process with Application to Cure Process Optimization
by: Li, Yezhuo, et al.
Published: (2025)
by: Li, Yezhuo, et al.
Published: (2025)
Adaptive Gaussian Process Search for Simulation-Based Sample Size Estimation in Clinical Prediction Models: Validation of the pmsims R Package
by: Olaniran, Oyebayo Ridwan, et al.
Published: (2026)
by: Olaniran, Oyebayo Ridwan, et al.
Published: (2026)
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)
Deep Gaussian Process Emulation with gradient Information and Sequential Design for Simulators with Sharp Variations
by: Yang, Yiming, et al.
Published: (2025)
by: Yang, Yiming, et al.
Published: (2025)
Unsupervised cell segmentation by fast Gaussian Processes
by: Baracaldo, Laura, et al.
Published: (2025)
by: Baracaldo, Laura, et al.
Published: (2025)
A Gaussian process based approach for validation of multi-variable measurement systems: application to SAR measurement systems
by: Bujard, C., et al.
Published: (2022)
by: Bujard, C., et al.
Published: (2022)
Development of a Real‐Time Monitoring Sensor Box for the Purpose of Chemistry Lab Usage
by: Molnár Ákos‐Sándor, et al.
Published: (2025)
by: Molnár Ákos‐Sándor, et al.
Published: (2025)
VPPE: Application of Scaled Vecchia Approximations to Parallel Partial Emulation
by: Seidman, Josh, et al.
Published: (2025)
by: Seidman, Josh, et al.
Published: (2025)
Genetic Algorithms in Regression
by: Li, Mo, et al.
Published: (2026)
by: Li, Mo, et al.
Published: (2026)
Rapid Approximation Prediction for Kriging
by: Li, Ziyu, et al.
Published: (2026)
by: Li, Ziyu, et al.
Published: (2026)
Generalized Sequential Monte Carlo Sampling for Redistricting Simulation
by: O'Sullivan, Philip, et al.
Published: (2026)
by: O'Sullivan, Philip, et al.
Published: (2026)
A comparison of graphical methods in the case of the murder of Meredith Kercher
by: Dawid, A. Philip, et al.
Published: (2024)
by: Dawid, A. Philip, et al.
Published: (2024)
Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization
by: Do, Bach, et al.
Published: (2025)
by: Do, Bach, 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)
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)
Efficient Long-Term Structural Reliability Estimation with Non-Gaussian Stochastic Models: A Design of Experiments Approach
by: Winter, Sebastian, et al.
Published: (2025)
by: Winter, Sebastian, et al.
Published: (2025)
General-Purpose Technology and Speculative Bubble Detection
by: Chen, Haiqiang, et al.
Published: (2026)
by: Chen, Haiqiang, et al.
Published: (2026)
AI in Work-Based Learning: Understanding the Purposes and Effects of Intelligent Tools Among Student Interns
by: Miranda, John Paul P., et al.
Published: (2026)
by: Miranda, John Paul P., et al.
Published: (2026)
Probabilistic Registration for Gaussian Process 3D shape modelling in the presence of extensive missing data
by: Valdeira, Filipa, et al.
Published: (2022)
by: Valdeira, Filipa, et al.
Published: (2022)
Data-Driven Strategies for Detecting and Sampling Misrepresented Subgroups
by: Lancia, G., et al.
Published: (2024)
by: Lancia, G., et al.
Published: (2024)
Trajectory-Oriented Optimization Via Adaptive Thompson Sampling And Grid Refinement: A Tutorial With The ADAPTIVE\_TS Package
by: O'Gara, David, et al.
Published: (2026)
by: O'Gara, David, et al.
Published: (2026)
CDsampling: An R Package for Constrained D-Optimal Sampling in Paid Research Studies
by: Huang, Yifei, et al.
Published: (2024)
by: Huang, Yifei, et al.
Published: (2024)
Time-Averaged Drift Approximations are Inconsistent for Inference in Drift Diffusion Models
by: Liu, Sicheng, et al.
Published: (2025)
by: Liu, Sicheng, et al.
Published: (2025)
changepointGA: An R package for Fast Changepoint Detection via Genetic Algorithm
by: Li, Mo, et al.
Published: (2024)
by: Li, Mo, et al.
Published: (2024)
Gaussian Process with dissolution spline kernel
by: Murphy, Fiona, et al.
Published: (2024)
by: Murphy, Fiona, et al.
Published: (2024)
On the application of Gaussian graphical models to paired data problems
by: Ranciati, Saverio, et al.
Published: (2023)
by: Ranciati, Saverio, et al.
Published: (2023)
Analysis of Patterns in Recorded Signals of Software Systems With a Variance Based Segmentation Algorithm
by: Lukić, Bojan, et al.
Published: (2025)
by: Lukić, Bojan, et al.
Published: (2025)
Toward a Data Processing Pipeline for Mobile-Phone Tracking Data
by: Jurek, Marcin, et al.
Published: (2025)
by: Jurek, Marcin, et al.
Published: (2025)
Similar Items
-
A loss discounting framework for model averaging and selection in time series models
by: Bernaciak, Dawid, et al.
Published: (2022) -
Fast Likelihood-Free Parameter Estimation for Lévy Processes
by: Coloma, Nicolas, et al.
Published: (2025) -
A Clustering Algorithm to Organize Satellite Hotspot Data for the Purpose of Tracking Bushfires Remotely
by: Li, Weihao, et al.
Published: (2023) -
Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
by: Wang, Ziyou, et al.
Published: (2026) -
Exchangeable Gaussian Processes with application to epidemics
by: Bouranis, Lampros, et al.
Published: (2025)