:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gil-Leyva, Maria F., Selva, Fidel, De Blasi, Pierpaolo
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2506.20021
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bayesian nonparametric community detection in assortative stochastic block models
by: Amongero, Martina, et al.
Published: (2025)

An asymptotic Peskun ordering and its application to lifted samplers
by: Gagnon, Philippe, et al.
Published: (2020)

Modelling Territorial Dynamics through Statistical Mechanics: An Application to Resident Foreign Population
by: Massoli, Pierpaolo
Published: (2025)

Unveiling Complex Territorial Socio-Economic Dynamics: A Statistical Mechanics Approach
by: Massoli, Pierpaolo
Published: (2025)

A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
by: Blasi, Federico, et al.
Published: (2024)

Change Point Detection for Functional Autoregressive Processes on the Sphere
by: Spoto, Federica, et al.
Published: (2025)

The transcoding sampler for stick-breaking inferences on Dirichlet process mixtures
by: Vicentini, Carlo
Published: (2023)

Optimal allocation strategies in platform trials
by: Roig, Marta Bofill, et al.
Published: (2023)

A novel stratified sampler with unbalanced refinement for network reliability assessment
by: Chan, Jianpeng, et al.
Published: (2025)

A discomfort-informed adaptive Gibbs sampler for finite mixture models
by: Fabbrico, Davide, et al.
Published: (2025)

Reversible jump Markov chain Monte Carlo and multi-model samplers
by: Fan, Yanan, et al.
Published: (2010)

Bayesian inference for ordinary differential equations models with heteroscedastic measurement error
by: Salimi, Selva, et al.
Published: (2026)

Bayesian analysis of product feature allocation models
by: Ghilotti, Lorenzo, et al.
Published: (2024)

Global convergence of optimized adaptive importance samplers
by: Akyildiz, Ömer Deniz
Published: (2022)

Stratified distance space improves the efficiency of sequential samplers for approximate Bayesian computation
by: Pesonen, Henri, et al.
Published: (2023)

Effective treatment allocation strategies under partial interference
by: Dean, Samantha G, et al.
Published: (2025)

A fast non-reversible sampler for Bayesian finite mixture models
by: Ascolani, Filippo, et al.
Published: (2025)

Tail allocation for conformal prediction intervals
by: Wang, Tianying
Published: (2026)

Bayesian wavelet shrinkage for low SNR data based on the Epanechnikov kernel
by: Barrios, Fidel Aniano Causil, et al.
Published: (2025)

Mixing times of data-augmentation Gibbs samplers for high-dimensional probit regression
by: Ascolani, Filippo, et al.
Published: (2025)

Bayesian calculus and predictive characterizations of extended feature allocation models
by: Beraha, Mario, et al.
Published: (2025)

Debiasing Piecewise Deterministic Markov Process samplers using couplings
by: Corenflos, Adrien, et al.
Published: (2023)

Fused $L_{1/2}$ prior for large scale linear inverse problem with Gibbs bouncy particle sampler
by: Ke, Xiongwen, et al.
Published: (2024)

Optimal allocation of sample size for randomization-based inference from $2^K$ factorial designs
by: Ravichandran, Arun, et al.
Published: (2023)

MCMC using $\textit{bouncy}$ Hamiltonian dynamics: A unifying framework for Hamiltonian Monte Carlo and piecewise deterministic Markov process samplers
by: Chin, Andrew, et al.
Published: (2024)

Expected information gain estimation via density approximations: Sample allocation and dimension reduction
by: Li, Fengyi, et al.
Published: (2024)

Transport map unadjusted Langevin algorithms: learning and discretizing perturbed samplers
by: Zhang, Benjamin J., et al.
Published: (2023)

SpeedCP: Fast Kernel-based Conditional Conformal Prediction
by: Liu, Yating, et al.
Published: (2025)

The choice of a suitable sampler for benthic macroinvertebrates in deep rivers
by: Elliott, J.M., et al.
Published: (1980)

Modelling pathwise uncertainty of Stochastic Differential Equations samplers via Probabilistic Numerics
by: Fay, Yvann Le, et al.
Published: (2023)

QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs
by: Shahverdikondori, Mohammad, et al.
Published: (2024)

The Case Study Method: A Case Study.
by: Fidel, Raya
Published: (1984)

On the use of splines for representing ordered factors
by: Azzalini, Adelchi
Published: (2024)

Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed
by: Goldwyn, Harrison J., et al.
Published: (2025)

Chapter Competenze digitali e innovazione nell’istruzione: metodologie di formazione e valutazione
by: Infante, Pierpaolo
Published: (2024)

Testing for sufficient follow-up in cure models with categorical covariates
by: Yuen, Tsz Pang, et al.
Published: (2025)

Depth-based estimation for multivariate functional data with phase variability
by: Arribas-Gil, Ana, et al.
Published: (2026)

Design and analysis for constrained order-of-addition experiments
by: Chen, Jianbin, et al.
Published: (2025)

Testing Prioritized Composite Endpoint with Multiple Follow-up Time Examinations
by: Mou, Yunhan, et al.
Published: (2025)

Bayesian subcohort selection for longitudinal covariate measurements in follow-up studies
by: Reinikainen, Jaakko, et al.
Published: (2016)