Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
Fuente:
arXiv
Saved in:
| Main Authors: | Saxena, Manan, Chen, Tinghua, Silverman, Justin D. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024)
by: Chen, Tinghua, et al.
Published: (2024)
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
by: Zhu, Haonan, et al.
Published: (2025)
by: Zhu, Haonan, et al.
Published: (2025)
Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
by: Wu, Yufei, et al.
Published: (2024)
by: Wu, Yufei, et al.
Published: (2024)
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
by: Jonker, Marianne A., et al.
Published: (2023)
by: Jonker, Marianne A., et al.
Published: (2023)
Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)
by: Polson, Nick, et al.
Published: (2026)
Adaptive Meta-Learning Stochastic Gradient Hamiltonian Monte Carlo Simulation for Bayesian Updating of Structural Dynamic Models
by: Meng, Xianghao, et al.
Published: (2026)
by: Meng, Xianghao, et al.
Published: (2026)
A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
by: Koslovsky, Matthew D., et al.
Published: (2023)
by: Koslovsky, Matthew D., et al.
Published: (2023)
Scalable Spatiotemporal Prediction with Bayesian Neural Fields
by: Saad, Feras, et al.
Published: (2024)
by: Saad, Feras, et al.
Published: (2024)
Beyond Linearity and Time-Homogeneity: Relational Hyper Event Models with Time-Varying Non-Linear Effects
by: Boschi, Martina, et al.
Published: (2025)
by: Boschi, Martina, et al.
Published: (2025)
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?
by: John, Luis H., et al.
Published: (2020)
by: John, Luis H., et al.
Published: (2020)
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)
Combining Bayesian and Frequentist Inference for Laboratory-Specific Performance Guarantees in Copy Number Variation Detection
by: Talbot, Austin, et al.
Published: (2026)
by: Talbot, Austin, et al.
Published: (2026)
Efficient Inference for Noisy LLM-as-a-Judge Evaluation
by: Chen, Yiqun T, et al.
Published: (2026)
by: Chen, Yiqun T, et al.
Published: (2026)
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
by: Fisher, Jared D., et al.
Published: (2024)
by: Fisher, Jared D., et al.
Published: (2024)
Joint Models for Handling Non-Ignorable Missing Data using Bayesian Additive Regression Trees: Application to Leaf Photosynthetic Traits Data
by: Goh, Yong Chen, et al.
Published: (2024)
by: Goh, Yong Chen, et al.
Published: (2024)
Heterogeneous Transfer Learning for Building High-Dimensional Generalized Linear Models with Disparate Datasets
by: Zhao, Ruzhang, et al.
Published: (2023)
by: Zhao, Ruzhang, et al.
Published: (2023)
Bayesian Federated Inference for regression models based on non-shared multicenter data sets from heterogeneous populations
by: Jonker, Marianne A, et al.
Published: (2024)
by: Jonker, Marianne A, et al.
Published: (2024)
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
by: Arpogaus, Marcel, et al.
Published: (2025)
by: Arpogaus, Marcel, et al.
Published: (2025)
Testing Generalizability in Causal Inference
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
by: Manela, Daniel de Vassimon, et al.
Published: (2024)
Conjugating Variational Inference for Large Mixed Multinomial Logit Models and Consumer Choice
by: Zhang, Weiben, et al.
Published: (2026)
by: Zhang, Weiben, et al.
Published: (2026)
A Bayesian Functional Concurrent Zero-Inflated Dirichlet-Multinomial Regression Model with Application to Infant Microbiome
by: Erlandson, Brody, et al.
Published: (2026)
by: Erlandson, Brody, et al.
Published: (2026)
Heckman Selection Contaminated Normal Model
by: Lim, Heeju, et al.
Published: (2024)
by: Lim, Heeju, et al.
Published: (2024)
Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
by: Zeng, Cheng, et al.
Published: (2025)
by: Zeng, Cheng, et al.
Published: (2025)
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
by: Du, Jin-Hong, et al.
Published: (2024)
by: Du, Jin-Hong, et al.
Published: (2024)
Sample Efficient Bayesian Learning of Causal Graphs from Interventions
by: Zhou, Zihan, et al.
Published: (2024)
by: Zhou, Zihan, et al.
Published: (2024)
Bayesian temporal biclustering with applications to multi-subject neuroscience studies
by: Ricci, Federica Zoe, et al.
Published: (2024)
by: Ricci, Federica Zoe, et al.
Published: (2024)
Inference for Large Scale Regression Models with Dependent Errors
by: Voirol, Lionel, et al.
Published: (2024)
by: Voirol, Lionel, et al.
Published: (2024)
Variational Inference for Fully Bayesian Hierarchical Linear Models
by: Parra-Aldana, Cristian, et al.
Published: (2025)
by: Parra-Aldana, Cristian, et al.
Published: (2025)
A Bayesian Framework for Causal Analysis of Recurrent Events with Timing Misalignment
by: Oganisian, Arman, et al.
Published: (2023)
by: Oganisian, Arman, et al.
Published: (2023)
Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift
by: Zhu, Yu, et al.
Published: (2025)
by: Zhu, Yu, et al.
Published: (2025)
Nonparametric Linear Discriminant Analysis for High Dimensional Matrix-Valued Data
by: Oh, Seungyeon, et al.
Published: (2025)
by: Oh, Seungyeon, et al.
Published: (2025)
DiffKnock: Diffusion-based Knockoff Statistics for Neural Networks Inference
by: Ge, Heng, et al.
Published: (2025)
by: Ge, Heng, et al.
Published: (2025)
Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees
by: Lungu, Valentinian, et al.
Published: (2022)
by: Lungu, Valentinian, et al.
Published: (2022)
A Bayesian Framework for Post-disruption Travel Time Prediction in Metro Networks
by: Nazemi, Shayan, et al.
Published: (2026)
by: Nazemi, Shayan, et al.
Published: (2026)
Scalable Estimation of Multinomial Response Models with Random Consideration Sets
by: Chib, Siddhartha, et al.
Published: (2023)
by: Chib, Siddhartha, et al.
Published: (2023)
Fast Uncertainty Quantification for Kernel-Based Estimators in Large-Scale Causal Inference
by: Kosko, Matthew, et al.
Published: (2026)
by: Kosko, Matthew, et al.
Published: (2026)
Transfer Faster, Price Smarter: Minimax Dynamic Pricing under Cross-Market Preference Shift
by: Zhang, Yi, et al.
Published: (2025)
by: Zhang, Yi, et al.
Published: (2025)
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
by: Imai, Kosuke, et al.
Published: (2022)
by: Imai, Kosuke, et al.
Published: (2022)
Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
by: Shen, Yixin, et al.
Published: (2025)
by: Shen, Yixin, et al.
Published: (2025)
MCMC with Adaptive Principal-Component Transformation: Rotation-Invariant Universal Samplers for Bayesian Structural System Identification
by: Meng, Xianghao, et al.
Published: (2026)
by: Meng, Xianghao, et al.
Published: (2026)
Similar Items
-
Scalable Bayesian Semiparametric Additive Regression Models For Microbiome Studies
by: Chen, Tinghua, et al.
Published: (2024) -
Hierarchical Sparse Bayesian Multitask Model with Scalable Inference for Microbiome Analysis
by: Zhu, Haonan, et al.
Published: (2025) -
Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
by: Wu, Yufei, et al.
Published: (2024) -
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets
by: Jonker, Marianne A., et al.
Published: (2023) -
Generative Bayesian Computation as a Scalable Alternative to Gaussian Process Surrogates
by: Polson, Nick, et al.
Published: (2026)