Cover Image

Stabilised weighted data subsampling for accelerated inference in models with recursive likelihoods

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Quiroz, Matias, Bhaskaran, Aishwarya, Wang, Zixuan, Goodwin, Thomas
Format:	Preprint
Published:	2026
Subjects:	Methodology Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Calibrated Bayesian inference for random fields on large irregular domains using the debiased spatial Whittle likelihood
by: Goodwin, Thomas, et al.
Published: (2025)

Dynamic linear regression models for forecasting time series with semi long memory errors
by: Goodwin, Thomas, et al.
Published: (2024)

A maximum penalised likelihood approach for semiparametric accelerated failure time models with time-varying covariates and partly interval censoring
by: Bhaskaran, Aishwarya, et al.
Published: (2024)

Composite likelihood inference for the Poisson log-normal model
by: Stoehr, Julien, et al.
Published: (2024)

A strategy to avoid particle depletion in recursive Bayesian inference
by: Scharf, Henry R.
Published: (2025)

Misspecification-robust likelihood-free inference in high dimensions
by: Thomas, Owen, et al.
Published: (2020)

Pooling information in likelihood-free inference
by: Frazier, David T., et al.
Published: (2022)

Refitted cross-validation estimation for high-dimensional subsamples from low-dimension full data
by: Zhang, Haixiang, et al.
Published: (2024)

Distributed model building and recursive integration for big spatial data modeling
by: Hector, Emily C., et al.
Published: (2023)

Efficient subsampling for high-dimensional data
by: Chasiotis, Vasilis, et al.
Published: (2024)

Nonparametric inference with massive data via grouped empirical likelihood
by: Wang, Yongda, et al.
Published: (2025)

Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
by: Guo, F. Richard, et al.
Published: (2023)

Expectation-propagation for Bayesian empirical likelihood inference
by: Ng, Kenyon, et al.
Published: (2025)

LocalCop: An R package for local likelihood inference for conditional copulas
by: Acar, Elif F., et al.
Published: (2024)

Efficient subsampling for exponential family models
by: Dasgupta, Subhadra, et al.
Published: (2023)

Moment-assisted subsampling method for Cox proportional hazards model with large-scale data
by: Su, Miaomiao, et al.
Published: (2025)

Optional subsampling for generalized estimating equations in growing-dimensional longitudinal Data
by: Li, Chunjing, et al.
Published: (2025)

Feasible pairwise pseudo-likelihood inference on spatial regressions in irregular lattice grids: the KD-T PL algorithm
by: Arbia, Giuseppe, et al.
Published: (2024)

Improving optimal subsampling through stratification
by: Yang, Jasper B., et al.
Published: (2025)

Spectral domain likelihoods for Bayesian inference in time-varying parameter models
by: Gustafsson, Oskar, et al.
Published: (2024)

Analysing symbolic data by pseudo-marginal methods
by: Yang, Yu, et al.
Published: (2024)

A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
by: Ma, Li, et al.
Published: (2024)

Robustifying likelihoods by optimistically re-weighting data
by: Dewaskar, Miheer, et al.
Published: (2023)

Bayesian inference and cure rate modeling for event history data
by: Papastamoulis, Panagiotis, et al.
Published: (2023)

Optimal subsampling for functional composite quantile regression in massive data
by: Pan, Jingxiang, et al.
Published: (2024)

Composite likelihood inference for space-time point processes
by: Jalilian, Abdollah, et al.
Published: (2024)

Semiparametric empirical likelihood inference for abundance from one-inflated capture-recapture data
by: Liu, Yang, et al.
Published: (2025)

A mirror descent approach to maximum likelihood estimation in latent variable models
by: Crucinio, Francesca R.
Published: (2025)

Scalable likelihood-based estimation and variable selection for the Cox model with incomplete covariates
by: Kwok, Ngok Sang, et al.
Published: (2024)

Rank estimation for the accelerated failure time model with partially interval-censored data
by: Choi, Taehwa, et al.
Published: (2025)

Two-step semiparametric empirical likelihood inference from capture-recapture data with missing covariates
by: Liu, Yang, et al.
Published: (2025)

Robust model selection using likelihood as data
by: Choi, Jongwoo, et al.
Published: (2026)

A correlated pseudo-marginal approach to doubly intractable problems
by: Yang, Yu, et al.
Published: (2022)

A comparison of the discrimination performance of lasso and maximum likelihood estimation in logistic regression model
by: Junior, Gilberto P. Alcântara, et al.
Published: (2024)

Optimal combination of composite likelihoods using approximate Bayesian computation with application to state-space models
by: Li, Wentao, et al.
Published: (2024)

Efficient smoothness selection for nonparametric Markov-switching models via quasi restricted maximum likelihood
by: Koslik, Jan-Ole
Published: (2024)

Prior- and likelihood-free probabilistic inference with finite-sample calibration guarantees
by: Cella, Leonardo, et al.
Published: (2026)

The multirank likelihood for semiparametric canonical correlation analysis
by: Bryan, Jordan G., et al.
Published: (2021)

Accelerating sequential Monte Carlo with surrogate likelihoods
by: Bon, Joshua J, et al.
Published: (2020)