Copertina

The Importance of Corner Frequency in Site-Based Stochastic Ground Motion Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Su, Maijia, Dabaghi, Mayssa, Broccardo, Marco
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Applications
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Review and Validation of Stochastic Ground Motion Models: which one does it better?
di: Su, Maijia, et al.
Pubblicazione: (2024)

Recorded Versus Synthetic Spectral-compatible Ground Motions: A Comparative Analysis of Structural Seismic Responses
di: Kim, Jungho, et al.
Pubblicazione: (2025)

Recorded Versus Synthetic Spectral‐Compatible Ground Motions: A Comparative Analysis of Structural Seismic Responses
di: Jungho Kim, et al.
Pubblicazione: (2025)

UQ state-dependent framework for seismic fragility assessment of industrial components
di: Nardin, C., et al.
Pubblicazione: (2024)

Surrogate modeling for probability distribution estimation:uniform or adaptive design?
di: Su, Maijia, et al.
Pubblicazione: (2024)

Cornering in the Water: An Investigation of Dolphin Swimming Performance
di: Xia, Mingkai, et al.
Pubblicazione: (2024)

Scalable Gaussian Process for Learning Non-Ergodic Ground Motion Model from Physics-Based Simulations with Application to Power Infrastructure Assessment
di: Zhao, Jinyan, et al.
Pubblicazione: (2026)

Sensitivity of seismic fragility curves to multiple parameters using CyberShake simulated ground motions
di: Houssam Al Jamal, et al.
Pubblicazione: (2024)

Comparing MCMC algorithms in Stochastic Volatility Models using Simulation Based Calibration
di: Wee, Benjamin
Pubblicazione: (2024)

Latent Space-based Stochastic Model Updating
di: Lee, Sangwon, et al.
Pubblicazione: (2024)

Local Intrinsic Dimensionality of Ground Motion Data for Early Detection of Complex Catastrophic Slope Failure
di: Liu, Yuansan, et al.
Pubblicazione: (2026)

A Geometric Model with Stochastic Error for Abnormal Motion Detection of Portal Crane Bucket Grab
di: Yu, Baichen, et al.
Pubblicazione: (2024)

The IQ-Motion Confound in Multi-Site Autism fMRI May Be Inflated by Site-Correlated Measurement Uncertainty
di: Soliman, Kareem
Pubblicazione: (2026)

Long-Term Probabilistic Forecast of Vegetation Conditions Using Climate Attributes in the Four Corners Region
di: McPhillips, Erika, et al.
Pubblicazione: (2026)

On a Semiparametric Stochastic Volatility Model
di: Feng, Yudong, et al.
Pubblicazione: (2025)

Density Prediction of Income Distribution Based on Mixed Frequency Data
di: Wang, Yinzhi, et al.
Pubblicazione: (2025)

Space Motion Control Optimization of Robot Arm Based on Modeling Analysis and RRT Algorithm
di: Zeqi Tong
Pubblicazione: (2025)

The Importance of Effective Population Size in Conservation and Biodiversity Monitoring
di: Joachim Mergeay, et al.
Pubblicazione: (2026)

Multidimensional Stochastic Dominance Test Based on Center-outward Quantiles
di: Ma, Yiming, et al.
Pubblicazione: (2025)

Embedding Birth-Death Processes within a Dynamic Stochastic Block Model
di: Soler, Gabriela Bayolo, et al.
Pubblicazione: (2026)

Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments
di: Shin, Heejun, et al.
Pubblicazione: (2024)

Maximum Likelihood Estimation of Stochastic Frontier Models with Endogeneity
di: Centorrino, Samuele, et al.
Pubblicazione: (2020)

Stochastic Gradient Variational Bayes in the Stochastic Blockmodel
di: Regueiro, Pedro, et al.
Pubblicazione: (2024)

Confidence Intervals for Rate Estimation with Importance Sampling in Autonomous Vehicle Evaluation
di: Chen, Aiyou, et al.
Pubblicazione: (2026)

Linear‐Quadratic Optimal Control Problems for Mean‐Field Stochastic Differential Equations Driven by Fractional Brownian Motions
di: Yifang Sun, et al.
Pubblicazione: (2026)

Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot
di: Liao, Lauren D., et al.
Pubblicazione: (2023)

Importance sampling for online variational learning
di: Chagneux, Mathis, et al.
Pubblicazione: (2024)

Feature Importance of Climate Vulnerability Indicators with Gradient Boosting across Five Global Cities
di: Pecharroman, Lidia Cano, et al.
Pubblicazione: (2024)

Statistical Emulations of Human Operational Motions in Industrial Environments
di: Chen, Yanliang, et al.
Pubblicazione: (2024)

Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
di: Ding, Feng, et al.
Pubblicazione: (2024)

An Exploration of Modeling Approaches for Capturing Seasonal Transmission in Stochastic Epidemic Models
di: Hridoy, Mahmudul Bari
Pubblicazione: (2024)

Gradient-free Importance Sampling Scheme for Efficient Reliability Estimation
di: Eshra, Elsayed, et al.
Pubblicazione: (2025)

Binary Endogenous Treatment in Stochastic Frontier Models with an Application to Soil Conservation in El Salvador
di: Centorrino, Samuele, et al.
Pubblicazione: (2023)

Estimating Decision Uncertainty from Preference Uncertainty: Application to Ground Vehicle Design
di: Liu, Chia-Ruei, et al.
Pubblicazione: (2026)

Stochastic Block Covariance Matrix Estimation
di: Chen, Yunran, et al.
Pubblicazione: (2025)

Evidence of Fine‐Scale Genetic Structure in Tiger Sharks (Galeocerdo cuvier) Highlights the Importance of Stratified Sampling Regimes
di: Jessica J. Fish, et al.
Pubblicazione: (2025)

Dynamic Skewness in Stochastic Volatility Models: A Penalized Prior Approach
di: Holtz, Bruno E., et al.
Pubblicazione: (2025)

Assessing Climate-Driven Mortality Risk: A Stochastic Approach with Distributed Lag Non-Linear Models
di: Min, Jiacheng, et al.
Pubblicazione: (2025)

Joint Modeling of Two Stochastic Processes, with Application to Learning Hospitalization Dynamics from Wastewater Viral Concentrations
di: Peng, K. Ken, et al.
Pubblicazione: (2026)

A Hybrid Compensation Circuit Topology Based on Dual Frequency Tuning Method for Improving Misalignment Tolerance of Capacitive Power Transfer System
di: Shenwang Li, et al.
Pubblicazione: (2025)