Saved in:
| Main Author: | Sørensen, Øystein |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.04003 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Hybrid NUTS-Gibbs Sampler with State Space Marginalization for Estimation of Dynamic Structural Equation Models with Binomial Outcomes
by: Sørensen, Øystein, et al.
Published: (2026)
by: Sørensen, Øystein, et al.
Published: (2026)
A Semiparametric Nonlinear Mixed Effects Model with Penalized Splines Using Automatic Differentiation
by: D'Alessandro, Matteo, et al.
Published: (2026)
by: D'Alessandro, Matteo, et al.
Published: (2026)
Bias-Reduced Estimation of Structural Equation Models
by: Jamil, Haziq, et al.
Published: (2025)
by: Jamil, Haziq, et al.
Published: (2025)
A Bayesian Dynamic Latent Space Model for Weighted Networks
by: Casarin, Roberto, et al.
Published: (2026)
by: Casarin, Roberto, et al.
Published: (2026)
Scalable Bayesian Structure Learning for Gaussian Graphical Models Using Marginal Pseudo-likelihood
by: Mohammadi, Reza, et al.
Published: (2023)
by: Mohammadi, Reza, et al.
Published: (2023)
Parameter Estimation of State Space Models Using Particle Importance Sampling
by: Gao, Yuxiong, et al.
Published: (2025)
by: Gao, Yuxiong, et al.
Published: (2025)
Robust Parameter Estimation in Dynamical Systems by Stochastic Differential Equations
by: Sun, Qingchuan, et al.
Published: (2025)
by: Sun, Qingchuan, et al.
Published: (2025)
Fast Variational Inference of Latent Space Models for Dynamic Networks Using Bayesian P-Splines
by: Loyal, Joshua Daniel
Published: (2024)
by: Loyal, Joshua Daniel
Published: (2024)
Structured Bayesian Regression Tree Models for Estimating Distributed Lag Effects: The R Package dlmtree
by: Im, Seongwon, et al.
Published: (2025)
by: Im, Seongwon, et al.
Published: (2025)
Self-Organizing State-Space Models with Artificial Dynamics
by: Chen, Yuan, et al.
Published: (2024)
by: Chen, Yuan, et al.
Published: (2024)
Dynamic Co-Expression Network Estimation via Multivariate Mixed-Effects Models
by: Ozminkowski, Samuel, et al.
Published: (2026)
by: Ozminkowski, Samuel, et al.
Published: (2026)
Bayesian Estimation of Variance under Fine Stratification via Mean-Variance Smoothing
by: Mosaferi, Sepideh, et al.
Published: (2026)
by: Mosaferi, Sepideh, et al.
Published: (2026)
Bayesian Structural Learning with Parametric Marginals for Count Data: An Application to Microbiota Systems
by: Vinciotti, Veronica, et al.
Published: (2022)
by: Vinciotti, Veronica, et al.
Published: (2022)
Estimating Dynamic Marginal Policy Effects under Sequential Unconfoundedness
by: Lai, I-han, et al.
Published: (2026)
by: Lai, I-han, et al.
Published: (2026)
On the Choice of Model Space Priors and Multiplicity Control in Bayesian Variable Selection: An Application to Streaming Logistic Regression
by: Ghosh, Joyee
Published: (2025)
by: Ghosh, Joyee
Published: (2025)
Efficient Amortized Bayesian Inference for Markov Random Fields via Gradient-Informed Grid Selection
by: Bazahica, Laura, et al.
Published: (2026)
by: Bazahica, Laura, et al.
Published: (2026)
Computationally Efficient Estimation of Large Probit Models
by: Ding, Patrick, et al.
Published: (2024)
by: Ding, Patrick, et al.
Published: (2024)
BEND: An R Package for the Bayesian Estimation of Nonlinear Longitudinal Data
by: Rohloff, Corissa T., et al.
Published: (2026)
by: Rohloff, Corissa T., et al.
Published: (2026)
Bayesian Nonlinear PDE Inference via Gaussian Process Collocation with Application to the Richards Equation
by: Yang, Yumo, et al.
Published: (2025)
by: Yang, Yumo, et al.
Published: (2025)
kDGLM: a R package for Bayesian analysis of Generalized Dynamic Linear Models
by: Santos Jr., Silvaneo V. dos, et al.
Published: (2024)
by: Santos Jr., Silvaneo V. dos, et al.
Published: (2024)
Bayesian Non-Parametric Inference for Lévy Measures in State-Space Models
by: Lin, Bill Z., et al.
Published: (2025)
by: Lin, Bill Z., et al.
Published: (2025)
pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
by: Shi, Skylar, et al.
Published: (2025)
by: Shi, Skylar, et al.
Published: (2025)
Marginal Structural Modeling of Representative Treatment Trajectories
by: Liu, Jiewen, et al.
Published: (2024)
by: Liu, Jiewen, et al.
Published: (2024)
Estimate Time-Varying Exposure Effects via Ensemble Learning-based Marginal Structural Model with Application to Adolescent Cognitive Development Study
by: Zhao, Zhiwei, et al.
Published: (2025)
by: Zhao, Zhiwei, et al.
Published: (2025)
Impact of Near-Positivity Violations on IPTW-Estimated Marginal Structural Survival Models With Time-Dependent Confounding
by: Spreafico, Marta
Published: (2024)
by: Spreafico, Marta
Published: (2024)
Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
by: Liu, Qingyang, et al.
Published: (2025)
by: Liu, Qingyang, et al.
Published: (2025)
"Spatial Joint Models through Bayesian Structured Piece-wise Additive Joint Modelling for Longitudinal and Time-to-Event Data"
by: Rappl, Anja, et al.
Published: (2023)
by: Rappl, Anja, et al.
Published: (2023)
Approximate Bayesian Inference for Structural Equation Models using Integrated Nested Laplace Approximations
by: Jamil, Haziq, et al.
Published: (2026)
by: Jamil, Haziq, et al.
Published: (2026)
A Marginal Maximum Likelihood Approach for Hierarchical Simultaneous Autoregressive Models with Missing Data
by: Wijayawardhana, Anjana, et al.
Published: (2024)
by: Wijayawardhana, Anjana, et al.
Published: (2024)
Unified Mixture Sampler for State-Space Models: Application to Stochastic Conditional Duration Models
by: Hiraki, Daichi, et al.
Published: (2026)
by: Hiraki, Daichi, et al.
Published: (2026)
Generalized Bayesian Inference for Dynamic Random Dot Product Graphs
by: Loyal, Joshua Daniel
Published: (2025)
by: Loyal, Joshua Daniel
Published: (2025)
Determine the Number of States in Hidden Markov Models via Marginal Likelihood
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
Exact Gradient Evaluation for Adaptive Quadrature Approximate Marginal Likelihood in Mixed Models for Grouped Data
by: Stringer, Alex
Published: (2023)
by: Stringer, Alex
Published: (2023)
Revisiting Bayesian Variable Selection via Optimization
by: Duan, Leo L
Published: (2026)
by: Duan, Leo L
Published: (2026)
Efficient scenario analysis in real-time Bayesian election forecasting via sequential meta-posterior sampling
by: Han, Geonhee, et al.
Published: (2025)
by: Han, Geonhee, et al.
Published: (2025)
Efficient Bayesian Inference for Discretely Observed Continuous Time Markov Chains
by: Tang, Tao, et al.
Published: (2025)
by: Tang, Tao, et al.
Published: (2025)
Efficient Bayesian Inference for Spatial Point Patterns Using the Palm Likelihood
by: Collins, Kevin M., et al.
Published: (2025)
by: Collins, Kevin M., et al.
Published: (2025)
Bayesian Compressed Mixed-Effects Models
by: Sarkar, Sreya, et al.
Published: (2025)
by: Sarkar, Sreya, et al.
Published: (2025)
Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
by: Rustand, Denis, et al.
Published: (2026)
by: Rustand, Denis, et al.
Published: (2026)
Adaptive Bayesian Joint Latent Space Modeling via Cumulative Shrinkage
by: Lv, Bin, et al.
Published: (2025)
by: Lv, Bin, et al.
Published: (2025)
Similar Items
-
A Hybrid NUTS-Gibbs Sampler with State Space Marginalization for Estimation of Dynamic Structural Equation Models with Binomial Outcomes
by: Sørensen, Øystein, et al.
Published: (2026) -
A Semiparametric Nonlinear Mixed Effects Model with Penalized Splines Using Automatic Differentiation
by: D'Alessandro, Matteo, et al.
Published: (2026) -
Bias-Reduced Estimation of Structural Equation Models
by: Jamil, Haziq, et al.
Published: (2025) -
A Bayesian Dynamic Latent Space Model for Weighted Networks
by: Casarin, Roberto, et al.
Published: (2026) -
Scalable Bayesian Structure Learning for Gaussian Graphical Models Using Marginal Pseudo-likelihood
by: Mohammadi, Reza, et al.
Published: (2023)