Iterating marginalized Bayes maps for likelihood maximization with application to nonlinear panel models
Fuente:
arXiv
Saved in:
| Main Authors: | Wheeler, Jesse, Abkemeier, Aaron J., Ionides, Edward L. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Poisson approximate likelihood compared to the particle filter
by: Hao, Yize, et al.
Published: (2024)
by: Hao, Yize, et al.
Published: (2024)
A tutorial on panel data analysis using partially observed Markov processes via the R package panelPomp
by: Breto, Carles, et al.
Published: (2024)
by: Breto, Carles, et al.
Published: (2024)
panelPomp: Analysis of Panel Data via Partially Observed Markov Processes in R
by: Bretó, Carles, et al.
Published: (2024)
by: Bretó, Carles, et al.
Published: (2024)
Revisiting Inference for ARMA Models: Improved Fits and Superior Confidence Intervals
by: Wheeler, Jesse, et al.
Published: (2023)
by: Wheeler, Jesse, et al.
Published: (2023)
Pooling information in likelihood-free inference
by: Frazier, David T., et al.
Published: (2022)
by: Frazier, David T., et al.
Published: (2022)
Synthetic likelihood in misspecified models
by: Frazier, David T., et al.
Published: (2021)
by: Frazier, David T., et al.
Published: (2021)
A partial likelihood approach to tree-based density modeling and its application in Bayesian inference
by: Ma, Li, et al.
Published: (2024)
by: Ma, Li, et al.
Published: (2024)
Marginal likelihoods for finite-support Huber contamination
by: Kim, Jaehoan
Published: (2026)
by: Kim, Jaehoan
Published: (2026)
Empirical likelihood for Fréchet means on open books
by: Bharath, Karthik, et al.
Published: (2024)
by: Bharath, Karthik, et al.
Published: (2024)
E-values as statistical evidence: A comparison to Bayes factors, likelihoods, and p-values
by: Chugg, Ben, et al.
Published: (2026)
by: Chugg, Ben, et al.
Published: (2026)
Restricted maximum likelihood estimation in generalized linear mixed models
by: Maestrini, Luca, et al.
Published: (2024)
by: Maestrini, Luca, et al.
Published: (2024)
A unified analysis of likelihood-based estimators in the Plackett--Luce model
by: Han, Ruijian, et al.
Published: (2023)
by: Han, Ruijian, et al.
Published: (2023)
Pseudo-variance quasi-maximum likelihood estimation of semi-parametric time series models
by: Armillotta, Mirko, et al.
Published: (2023)
by: Armillotta, Mirko, et al.
Published: (2023)
Combining experimental and observational data through a power likelihood
by: Lin, Xi, et al.
Published: (2023)
by: Lin, Xi, et al.
Published: (2023)
Fiducial inference for partially identified parameters with applications to instrumental variable models
by: Cui, Yifan, et al.
Published: (2025)
by: Cui, Yifan, et al.
Published: (2025)
Robustifying likelihoods by optimistically re-weighting data
by: Dewaskar, Miheer, et al.
Published: (2023)
by: Dewaskar, Miheer, et al.
Published: (2023)
Maximum-likelihood estimation of the Matérn covariance structure of isotropic spatial random fields on finite, sampled grids
by: Simons, Frederik J., et al.
Published: (2025)
by: Simons, Frederik J., et al.
Published: (2025)
Mosaic inference on panel data
by: Spector, Asher, et al.
Published: (2025)
by: Spector, Asher, et al.
Published: (2025)
Optimization-centric cutting feedback for semiparametric models
by: Tan, Linda S. L., et al.
Published: (2025)
by: Tan, Linda S. L., et al.
Published: (2025)
Statistical inference of random graphs with a surrogate likelihood function
by: Wu, Dingbo, et al.
Published: (2022)
by: Wu, Dingbo, et al.
Published: (2022)
New density/likelihood representations for Gibbs models based on generating functionals of point processes
by: Cronie, Ottmar
Published: (2024)
by: Cronie, Ottmar
Published: (2024)
Context Tree Prior Distributions based on Node Weighting with exact Bayes Factors
by: Paulichen, Thiago, et al.
Published: (2026)
by: Paulichen, Thiago, et al.
Published: (2026)
Local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025)
by: Hayashi, Yoshiko
Published: (2025)
Latent confounding in high-dimensional nonlinear models
by: Wang, Yuhao, et al.
Published: (2025)
by: Wang, Yuhao, et al.
Published: (2025)
Inference in generalized linear models with robustness to misspecified variances
by: De Santis, Riccardo, et al.
Published: (2022)
by: De Santis, Riccardo, et al.
Published: (2022)
An exact unbiased semi-parametric maximum quasi-likelihood framework which is complete in the presence of ties
by: Hurley, Landon
Published: (2025)
by: Hurley, Landon
Published: (2025)
An exact unbiased semi-parametric L2 quasi-likelihood framework, complete in the presence of ties
by: Hurley, Landon
Published: (2026)
by: Hurley, Landon
Published: (2026)
Jackknife empirical likelihood ratio test for log symmetric distribution using probability weighted moments
by: S, Anjana, et al.
Published: (2024)
by: S, Anjana, et al.
Published: (2024)
Empirical Bayes estimation: When does $g$-modeling beat $f$-modeling in theory (and in practice)?
by: Shen, Yandi, et al.
Published: (2022)
by: Shen, Yandi, et al.
Published: (2022)
Empirical Bayes inference in sparse high-dimensional generalized linear models
by: Tang, Yiqi, et al.
Published: (2023)
by: Tang, Yiqi, et al.
Published: (2023)
Improved confidence intervals for nonlinear mixed-effects and nonparametric regression models
by: Zheng, Nan, et al.
Published: (2024)
by: Zheng, Nan, et al.
Published: (2024)
Estimation for multistate models subject to reporting delays and incomplete event adjudication with application to disability insurance
by: Buchardt, K., et al.
Published: (2023)
by: Buchardt, K., et al.
Published: (2023)
Consistent Empirical Bayes estimation of the mean of a mixing distribution without identifiability assumption. With applications to treatment of non-response
by: Greenshtein, Eitan
Published: (2024)
by: Greenshtein, Eitan
Published: (2024)
On the Hierarchical Bayes justification of Empirical Bayes Confidence Intervals
by: Sen, Aditi, et al.
Published: (2025)
by: Sen, Aditi, et al.
Published: (2025)
Using fractional derivatives to derive marginal densities
by: Li, Si-Yang, et al.
Published: (2024)
by: Li, Si-Yang, et al.
Published: (2024)
Uncertainty quantification for iterative algorithms in linear models with application to early stopping
by: Bellec, Pierre C., et al.
Published: (2024)
by: Bellec, Pierre C., et al.
Published: (2024)
A note on numerical evaluation of conditional Akaike information for nonlinear mixed-effects models
by: Zheng, Nan, et al.
Published: (2024)
by: Zheng, Nan, et al.
Published: (2024)
Quantification and cross-fitting inference of asymmetric relations under generative exposure mapping models
by: Purkayastha, Soumik, et al.
Published: (2023)
by: Purkayastha, Soumik, et al.
Published: (2023)
Semiparametric fiducial inference for Cox models
by: Cui, Yifan, et al.
Published: (2024)
by: Cui, Yifan, et al.
Published: (2024)
Optimal regimes for algorithm-assisted human decision-making
by: Stensrud, Mats J., et al.
Published: (2022)
by: Stensrud, Mats J., et al.
Published: (2022)
Similar Items
-
Poisson approximate likelihood compared to the particle filter
by: Hao, Yize, et al.
Published: (2024) -
A tutorial on panel data analysis using partially observed Markov processes via the R package panelPomp
by: Breto, Carles, et al.
Published: (2024) -
panelPomp: Analysis of Panel Data via Partially Observed Markov Processes in R
by: Bretó, Carles, et al.
Published: (2024) -
Revisiting Inference for ARMA Models: Improved Fits and Superior Confidence Intervals
by: Wheeler, Jesse, et al.
Published: (2023) -
Pooling information in likelihood-free inference
by: Frazier, David T., et al.
Published: (2022)