:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Nakakita, Makoto, Toyabe, Tomoki, Nakatsuma, Teruo, Hoshino, Takahiro
Format:	Preprint
Published:	2025
Subjects:	Methodology Computation
Online Access:	https://arxiv.org/abs/2507.18404
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Functional Network Autoregressive Models for Panel Data
by: Ando, Tomohiro, et al.
Published: (2025)

Do GPT Language Models Suffer From Split Personality Disorder? The Advent Of Substrate-Free Psychometrics
by: Romero, Peter, et al.
Published: (2024)

To MCMC or not to MCMC: Evaluating non-MCMC methods for Bayesian penalized regression
by: van Leeuwen, Florian D., et al.
Published: (2025)

Stochastic Gradient MCMC for Massive Geostatistical Data
by: Abba, Mohamed A., et al.
Published: (2024)

Control Variates for MCMC
by: South, Leah, et al.
Published: (2024)

Improved MCMC with active subspaces
by: Ripoli, Leonardo, et al.
Published: (2025)

Exact MCMC for Intractable Proposals
by: Kakkad, Dwija, et al.
Published: (2024)

On Sharpened Convergence Rate of Generalized Sliced Inverse Regression for Nonlinear Sufficient Dimension Reduction
by: Choi, Chak Fung, et al.
Published: (2026)

MCMC Importance Sampling via Moreau-Yosida Envelopes
by: Shukla, Apratim, et al.
Published: (2025)

A Framework to Analyze Multiscale Sampling MCMC Methods
by: Seiffert, Lucas, et al.
Published: (2025)

Sensitivity of MCMC-based analyses to small-data removal
by: Nguyen, Tin D., et al.
Published: (2024)

Gaussian Approximation and Output Analysis for High-Dimensional MCMC
by: Pengel, Ardjen, et al.
Published: (2024)

Similarity-Driven Proposals for MCMC Algorithms on Discrete Spaces
by: Aiello, Luca, et al.
Published: (2026)

A Delayed Acceptance Auxiliary Variable MCMC for Spatial Models with Intractable Likelihood Function
by: Lee, Jong Hyeon, et al.
Published: (2025)

MCMC for Bayesian nonparametric mixture modeling under differential privacy
by: Beraha, Mario, et al.
Published: (2023)

Restricted Search Space Graph MCMC via Birth-Death Processes
by: Greenberg, Morris, et al.
Published: (2026)

bayesCureRateModel: Bayesian Cure Rate Modeling for Time to Event Data in R
by: Papastamoulis, Panagiotis, et al.
Published: (2024)

Exact and Approximate MCMC for Doubly-intractable Probabilistic Graphical Models Leveraging the Underlying Independence Model
by: Chen, Yujie, et al.
Published: (2025)

Scalable Bayesian Inference for Generalized Linear Mixed Models via Stochastic Gradient MCMC
by: Berchuck, Samuel I., et al.
Published: (2024)

Probabilistic Inversion Modeling of Gas Emissions: A Gradient-Based MCMC Estimation of Gaussian Plume Parameters
by: Newman, Thomas, et al.
Published: (2024)

Bayesian Time-Varying Meta-Analysis via Hierarchical Mean-Variance Random-effects Models
by: Kubota, Kohsuke, et al.
Published: (2025)

Spectral subsampling MCMC for Lévy-driven continuous-time ARMA models with expensive likelihood contributions
by: Goodwin, Thomas, et al.
Published: (2026)

Graph-Enabled Fast MCMC Sampling with an Unknown High-Dimensional Prior Distribution
by: Zhong, Chenyang, et al.
Published: (2024)

panelPomp: Analysis of Panel Data via Partially Observed Markov Processes in R
by: Bretó, Carles, et al.
Published: (2024)

Novel Bayesian algorithms for ARFIMA long-memory processes: a comparison between MCMC and ABC approaches
by: Gabor, James Cohen, et al.
Published: (2024)

Modeling Complex Life Systems: Bayesian Inference for Weibull Failure Times Using Adaptive MCMC
by: Oketch, Tobias, et al.
Published: (2025)

Non-Vacuous Certification of Transport MCMC via Oscillation-Controlled Normalizing Flows
by: Hu, Jun
Published: (2026)

Efficient Bias Correction for Cross-section and Panel Data
by: Hahn, Jinyong, et al.
Published: (2022)

Unified Distributed Estimation Framework for Sufficient Dimension Reduction Based on Conditional Moments
by: Li, Hongying, et al.
Published: (2025)

Sacred and Profane: from the Involutive Theory of MCMC to Helpful Hamiltonian Hacks
by: Glatt-Holtz, Nathan E., et al.
Published: (2024)

Hidden Markov Models for Multivariate Panel Data
by: Neal, Mackenzie R., et al.
Published: (2024)

A geometric approach to informed MCMC sampling
by: Roy, Vivekananda
Published: (2024)

Sufficient dimension reduction for regression with metric space-valued responses
by: Soale, Abdul-Nasah, 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)

Semiparametric Efficient Inference for the Probability of Necessary and Sufficient Causation
by: Tian, Zhaoqing, et al.
Published: (2024)

Intrepid MCMC: Metropolis-Hastings with Exploration
by: Chakroborty, Promit, et al.
Published: (2024)

Voronoi Density Estimator for High-Dimensional Data: Computation, Compactification and Convergence
by: Polianskii, Vladislav, et al.
Published: (2022)

Bias-Reduced Estimation of Finite Mixtures: An Application to Latent Group Structures in Panel Data
by: Langevin, Raphaël
Published: (2026)

Moment Restrictions for Nonlinear Panel Data Models with Feedback
by: Bonhomme, Stéphane, et al.
Published: (2025)

A Finite-Calibration Regime Map for LLM Judge Panels
by: Zhu, Bin, et al.
Published: (2026)