Latent Space-Based Likelihood Estimation Using a Single Observation for Bayesian Updating of a Nonlinear Hysteretic Model
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Sangwon, Yaoyama, Taro, Matsumoto, Yuma, Hida, Takenori, Itoi, Tatsuya |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Latent Space-based Stochastic Model Updating
by: Lee, Sangwon, et al.
Published: (2024)
by: Lee, Sangwon, et al.
Published: (2024)
Bayesian Structural Model Updating with Multimodal Variational Autoencoder
by: Itoi, Tatsuya, et al.
Published: (2024)
by: Itoi, Tatsuya, et al.
Published: (2024)
Site-Specific Ground Motion Generative Model for Crustal Earthquakes in Japan Based on Generative Adversarial Networks
by: Matsumoto, Yuma, et al.
Published: (2024)
by: Matsumoto, Yuma, et al.
Published: (2024)
Stress Resultant-Based Approach to Mass Assumption-Free Bayesian Model Updating of Frame Structures
by: Yaoyama, Taro, et al.
Published: (2024)
by: Yaoyama, Taro, et al.
Published: (2024)
Probabilistic Model Updating of Steel Frame Structures Using Strain and Acceleration Measurements: A Multitask Learning Framework
by: Yaoyama, Taro, et al.
Published: (2024)
by: Yaoyama, Taro, et al.
Published: (2024)
Hierarchical Bayesian model updating using Dirichlet process mixtures for structural damage localization
by: Yaoyama, Taro, et al.
Published: (2025)
by: Yaoyama, Taro, et al.
Published: (2025)
Finite element model updating of building structures under seismic excitation: A parallelized latent space-based Bayesian framework
by: Yaoyama, Taro, et al.
Published: (2026)
by: Yaoyama, Taro, et al.
Published: (2026)
Transfer Learning-Based Surrogate Modeling for Nonlinear Time-History Response Analysis of High-Fidelity Structural Models
by: Ishikawa, Keiichi, et al.
Published: (2025)
by: Ishikawa, Keiichi, et al.
Published: (2025)
Waveform-Based Probabilistic Seismic Hazard Analysis Using Ground-Motion Generative Models
by: Matsumoto, Yuma, et al.
Published: (2025)
by: Matsumoto, Yuma, et al.
Published: (2025)
Quasi-Likelihood Analysis for Student-Lévy Regression
by: Masuda, Hiroki, et al.
Published: (2023)
by: Masuda, Hiroki, et al.
Published: (2023)
A Bayesian Update Method for Exponential Family Projection Filters with Non-Conjugate Likelihoods
by: Emzir, Muhammad Fuady
Published: (2025)
by: Emzir, Muhammad Fuady
Published: (2025)
Forecasting Influenza Hospitalizations Using a Bayesian Hierarchical Nonlinear Model with Discrepancy
by: Wadsworth, Spencer, et al.
Published: (2024)
by: Wadsworth, Spencer, et al.
Published: (2024)
Maximum Likelihood Estimation for Scaled Inhomogeneous Phase-Type Distributions from Discrete Observations
by: Baltazar-Larios, Fernando, et al.
Published: (2025)
by: Baltazar-Larios, Fernando, et al.
Published: (2025)
Issue-Specific Polarization and Cohesion in a Multi-Party Legislature: Integrating the Latent Space Item Response Model with Topic-Based Regression
by: Lee, Seungju, et al.
Published: (2026)
by: Lee, Seungju, et al.
Published: (2026)
Don't Disregard the Data for Lack of a Likelihood: Bayesian Synthetic Likelihood for Enhanced Multilevel Network Meta-Regression
by: Campbell, Harlan, et al.
Published: (2026)
by: Campbell, Harlan, et al.
Published: (2026)
Maximum Likelihood Estimation of Stochastic Frontier Models with Endogeneity
by: Centorrino, Samuele, et al.
Published: (2020)
by: Centorrino, Samuele, et al.
Published: (2020)
Consistency and Central Limit Results for the Maximum Likelihood Estimator in the Admixture Model
by: Heinzel, Carola Sophia
Published: (2025)
by: Heinzel, Carola Sophia
Published: (2025)
Detecting Outbreaks Using a Latent Field: Part II -- Scalable Estimation
by: Bridgman, Wyatt, et al.
Published: (2024)
by: Bridgman, Wyatt, et al.
Published: (2024)
Bayesian Estimation of Causal Effects Using Proxies of a Latent Interference Network
by: Weinstein, Bar, et al.
Published: (2025)
by: Weinstein, Bar, et al.
Published: (2025)
A Bayesian Approach to Estimate Causal Peer Influence Accounting for Latent Network Homophily
by: Um, Seungha, et al.
Published: (2024)
by: Um, Seungha, et al.
Published: (2024)
Quasi-Maximum Likelihood Estimation for a Genuinely Unbalanced Dynamic Network Panel Data Model
by: Wang, Zhijian, et al.
Published: (2025)
by: Wang, Zhijian, et al.
Published: (2025)
Unified Color Harmony Model
by: Long Xu, et al.
Published: (2025)
by: Long Xu, et al.
Published: (2025)
A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
by: Sisti, Anthony, et al.
Published: (2024)
by: Sisti, Anthony, et al.
Published: (2024)
Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
by: Dashti, S. Ghazaleh, et al.
Published: (2021)
by: Dashti, S. Ghazaleh, et al.
Published: (2021)
BayVel: A Bayesian Framework for RNA Velocity Estimation in Single-Cell Transcriptomics
by: Sabbioni, Elena, et al.
Published: (2025)
by: Sabbioni, Elena, et al.
Published: (2025)
Clinical Characteristics and Laboratory Biomarkers in ICU-admitted Septic Patients with and without Bacteremia
by: Baek, Sangwon, et al.
Published: (2023)
by: Baek, Sangwon, et al.
Published: (2023)
Detecting Outbreaks Using a Latent Field: Part I -- Spatial Modeling
by: Safta, Cosmin, et al.
Published: (2024)
by: Safta, Cosmin, et al.
Published: (2024)
Bayesian inference of Latent Spectral Shapes
by: Yip, Hiu Ching, et al.
Published: (2024)
by: Yip, Hiu Ching, et al.
Published: (2024)
Early Prediction of Student Performance Using Bayesian Updating with Informative Priors Across Cohorts
by: Schwerter, Jakob, et al.
Published: (2026)
by: Schwerter, Jakob, et al.
Published: (2026)
Targeted Maximum Likelihood Estimation for Integral Projection Models in Population Ecology
by: Zhou, Yunzhe, et al.
Published: (2024)
by: Zhou, Yunzhe, et al.
Published: (2024)
Maximum Likelihood Estimation under the Emax Model: Existence, Geometry and Efficiency
by: Aletti, Giacomo, et al.
Published: (2023)
by: Aletti, Giacomo, et al.
Published: (2023)
Joint Parameter and State Estimation for Input‐Nonlinear State‐Space Models With Random Data Missing Based on Kalman Smoothing
by: Junxia Ma, et al.
Published: (2025)
by: Junxia Ma, et al.
Published: (2025)
An Observation-Driven State-Space Model for Claims Size Modeling
by: Ahn, Jae Youn, et al.
Published: (2024)
by: Ahn, Jae Youn, et al.
Published: (2024)
Likelihood-Free Inference for Multivariate Generalized Pareto Models
by: Aka, Samira, et al.
Published: (2026)
by: Aka, Samira, et al.
Published: (2026)
Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)
by: Chen, David, et al.
Published: (2024)
The Prosecutor's Fallacy and Expert Testimony: A Modern Take Using Likelihood Ratios
by: Cuellar, Maria
Published: (2025)
by: Cuellar, Maria
Published: (2025)
Variational Approximated Restricted Maximum Likelihood Estimation for Spatial Data
by: Thakur, Debjoy
Published: (2026)
by: Thakur, Debjoy
Published: (2026)
A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros
by: Chakraborty, Chitradipa, et al.
Published: (2025)
by: Chakraborty, Chitradipa, et al.
Published: (2025)
Efficient Bayesian inversion for simultaneous estimation of geometry and spatial field using the Karhunen-Loève expansion
by: Shibata, Tatsuya, et al.
Published: (2024)
by: Shibata, Tatsuya, et al.
Published: (2024)
An Approximate Maximum Likelihood Estimator for Discretely Observed Linear Birth-and-Death Processes
by: Long, Xiaochen, et al.
Published: (2025)
by: Long, Xiaochen, et al.
Published: (2025)
Similar Items
-
Latent Space-based Stochastic Model Updating
by: Lee, Sangwon, et al.
Published: (2024) -
Bayesian Structural Model Updating with Multimodal Variational Autoencoder
by: Itoi, Tatsuya, et al.
Published: (2024) -
Site-Specific Ground Motion Generative Model for Crustal Earthquakes in Japan Based on Generative Adversarial Networks
by: Matsumoto, Yuma, et al.
Published: (2024) -
Stress Resultant-Based Approach to Mass Assumption-Free Bayesian Model Updating of Frame Structures
by: Yaoyama, Taro, et al.
Published: (2024) -
Probabilistic Model Updating of Steel Frame Structures Using Strain and Acceleration Measurements: A Multitask Learning Framework
by: Yaoyama, Taro, et al.
Published: (2024)