Simulation Based Composite Likelihood
Fuente:
arXiv
Guardado en:
| Autores principales: | Rimella, Lorenzo, Jewell, Chris, Fearnhead, Paul |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Approximating optimal SMC proposal distributions in individual-based epidemic models
por: Rimella, Lorenzo, et al.
Publicado: (2022)
por: Rimella, Lorenzo, et al.
Publicado: (2022)
Scalable calibration of individual-based epidemic models through categorical approximations
por: Rimella, Lorenzo, et al.
Publicado: (2025)
por: Rimella, Lorenzo, et al.
Publicado: (2025)
MCMC for State Space models
por: Fearnhead, Paul, et al.
Publicado: (2025)
por: Fearnhead, Paul, et al.
Publicado: (2025)
Improving Power by Conditioning on Less in Post-selection Inference for Changepoints
por: Carrington, Rachel, et al.
Publicado: (2023)
por: Carrington, Rachel, et al.
Publicado: (2023)
Post-selection inference for quantifying uncertainty in changes in variance
por: Carrington, Rachel, et al.
Publicado: (2024)
por: Carrington, Rachel, et al.
Publicado: (2024)
Scalable Monte Carlo for Bayesian Learning
por: Fearnhead, Paul, et al.
Publicado: (2024)
por: Fearnhead, Paul, et al.
Publicado: (2024)
The Multiple Change-in-Gaussian-Mean Problem
por: Fearnhead, Paul, et al.
Publicado: (2024)
por: Fearnhead, Paul, et al.
Publicado: (2024)
A communication-efficient, online changepoint detection method for monitoring distributed sensor networks
por: Yang, Ziyang, et al.
Publicado: (2024)
por: Yang, Ziyang, et al.
Publicado: (2024)
A Log-Linear Non-Parametric Online Changepoint Detection Algorithm based on Functional Pruning
por: Romano, Gaetano, et al.
Publicado: (2023)
por: Romano, Gaetano, et al.
Publicado: (2023)
Non-centred Bayesian inference for discrete-valued state-transition models: the Rippler algorithm
por: Neill, James, et al.
Publicado: (2026)
por: Neill, James, et al.
Publicado: (2026)
Automatic Change-Point Detection in Time Series via Deep Learning
por: Li, Jie, et al.
Publicado: (2022)
por: Li, Jie, et al.
Publicado: (2022)
When Composite Likelihood Meets Stochastic Approximation
por: Alfonzetti, Giuseppe, et al.
Publicado: (2023)
por: Alfonzetti, Giuseppe, et al.
Publicado: (2023)
Misspecification-robust Sequential Neural Likelihood for Simulation-based Inference
por: Kelly, Ryan P., et al.
Publicado: (2023)
por: Kelly, Ryan P., et al.
Publicado: (2023)
Generalized Bayesian Likelihood-Free Inference
por: Pacchiardi, Lorenzo, et al.
Publicado: (2021)
por: Pacchiardi, Lorenzo, et al.
Publicado: (2021)
Test-Negative Designs with Multiple Testing Sources
por: Yu, Mengxin, et al.
Publicado: (2025)
por: Yu, Mengxin, et al.
Publicado: (2025)
Robust Simulation Based Inference
por: Tomaselli, Lorenzo, et al.
Publicado: (2025)
por: Tomaselli, Lorenzo, et al.
Publicado: (2025)
Don't Disregard the Data for Lack of a Likelihood: Bayesian Synthetic Likelihood for Enhanced Multilevel Network Meta-Regression
por: Campbell, Harlan, et al.
Publicado: (2026)
por: Campbell, Harlan, et al.
Publicado: (2026)
Consistent and Scalable Composite Likelihood Estimation of Probit Models with Crossed Random Effects
por: Bellio, Ruggero, et al.
Publicado: (2023)
por: Bellio, Ruggero, et al.
Publicado: (2023)
Efficient Gibbs Sampling in Cox Regression Models Using Composite Partial Likelihood and Pólya-Gamma Augmentation
por: Tamano, Shu, et al.
Publicado: (2025)
por: Tamano, Shu, et al.
Publicado: (2025)
Efficient Nested Simulation Experiment Design via the Likelihood Ratio Method
por: Feng, Mingbin Ben, et al.
Publicado: (2020)
por: Feng, Mingbin Ben, et al.
Publicado: (2020)
Likelihood-Based Ergodicity Transformations in Time Series Analysis
por: Britto, Anthony
Publicado: (2026)
por: Britto, Anthony
Publicado: (2026)
Non-centering for discrete-valued state transition models: an application to ESBL-producing E. coli transmission in Malawi
por: Neill, James, et al.
Publicado: (2025)
por: Neill, James, et al.
Publicado: (2025)
Approximate Likelihood-Based Inference for Spatial Generalized Linear Mixed Models
por: Watson, Samuel I., et al.
Publicado: (2026)
por: Watson, Samuel I., et al.
Publicado: (2026)
Hazard-Based Targeted Maximum Likelihood Estimation for Survival in Resampling Designs
por: Landsiedel, Kirsten E., et al.
Publicado: (2025)
por: Landsiedel, Kirsten E., et al.
Publicado: (2025)
On Nonparanormal Likelihoods
por: Hothorn, Torsten
Publicado: (2024)
por: Hothorn, Torsten
Publicado: (2024)
Doubly Robust Machine Learning for Population Size Estimation with Missing Covariates: Application to Gaza Conflict Mortality
por: Rubio, Mateo Dulce, et al.
Publicado: (2026)
por: Rubio, Mateo Dulce, et al.
Publicado: (2026)
Quantifying uncertainty in spikes estimated from calcium imaging data
por: Chen, Yiqun T., et al.
Publicado: (2021)
por: Chen, Yiqun T., et al.
Publicado: (2021)
Likelihood-ratio inference on differences in quantiles
por: Miller, Evan
Publicado: (2023)
por: Miller, Evan
Publicado: (2023)
Likelihood-Based Regression for Weibull Accelerated Life Testing Model Under Censored Data
por: Konar, Rahul, et al.
Publicado: (2026)
por: Konar, Rahul, et al.
Publicado: (2026)
Neural Likelihood Surfaces for Spatial Processes with Computationally Intensive or Intractable Likelihoods
por: Walchessen, Julia, et al.
Publicado: (2023)
por: Walchessen, Julia, et al.
Publicado: (2023)
Simulation-based Inference for High-dimensional Data using Surjective Sequential Neural Likelihood Estimation
por: Dirmeier, Simon, et al.
Publicado: (2023)
por: Dirmeier, Simon, et al.
Publicado: (2023)
Pseudo-Empirical Likelihood Methods for Causal Inference
por: Huang, Jingyue, et al.
Publicado: (2024)
por: Huang, Jingyue, et al.
Publicado: (2024)
Revisiting Penalized Likelihood Estimation for Gaussian Processes
por: Mutoh, Ayumi, et al.
Publicado: (2025)
por: Mutoh, Ayumi, et al.
Publicado: (2025)
Sample Empirical Likelihood Methods for Causal Inference
por: Huang, Jingyue, et al.
Publicado: (2024)
por: Huang, Jingyue, et al.
Publicado: (2024)
Primed Priors for Simulation-Based Validation of Bayesian Models
por: Fazio, Luna, et al.
Publicado: (2024)
por: Fazio, Luna, et al.
Publicado: (2024)
Regularized Exponentially Tilted Empirical Likelihood for Bayesian Inference
por: Kim, Eunseop, et al.
Publicado: (2023)
por: Kim, Eunseop, et al.
Publicado: (2023)
Likelihood-based inference for the Gompertz model with Poisson errors
por: Onorati, Paolo, et al.
Publicado: (2025)
por: Onorati, Paolo, et al.
Publicado: (2025)
Distributed Empirical Likelihood Inference With or Without Byzantine Failures
por: Wang, Qihua, et al.
Publicado: (2024)
por: Wang, Qihua, et al.
Publicado: (2024)
The Marginal Likelihood of two-way tables and Ecological Inference
por: Forcina, Antonio
Publicado: (2025)
por: Forcina, Antonio
Publicado: (2025)
Likelihood-Free Inference via Structured Score Matching
por: Jiang, Haoyu, et al.
Publicado: (2026)
por: Jiang, Haoyu, et al.
Publicado: (2026)
Ejemplares similares
-
Approximating optimal SMC proposal distributions in individual-based epidemic models
por: Rimella, Lorenzo, et al.
Publicado: (2022) -
Scalable calibration of individual-based epidemic models through categorical approximations
por: Rimella, Lorenzo, et al.
Publicado: (2025) -
MCMC for State Space models
por: Fearnhead, Paul, et al.
Publicado: (2025) -
Improving Power by Conditioning on Less in Post-selection Inference for Changepoints
por: Carrington, Rachel, et al.
Publicado: (2023) -
Post-selection inference for quantifying uncertainty in changes in variance
por: Carrington, Rachel, et al.
Publicado: (2024)