Cover Image

A Time-Scaled ETAS Model for Earthquake Forecasting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Das, Agniva, K, Muralidharan
Format:	Preprint
Published:	2025
Subjects:	Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Earthquake Forecasting with ETAS.inlabru
by: Zhong, Ziwen
Published: (2025)

Real Time Monitoring and Forecasting of COVID 19 Cases using an Adjusted Holt based Hybrid Model embedded with Wavelet based ANN
by: Das, Agniva, et al.
Published: (2024)

Spatiotemporal Modeling and Forecasting at Scale with Dynamic Generalized Linear Models
by: Pherwani, Pranay, et al.
Published: (2024)

A Bayesian Dirichlet Auto-Regressive Moving Average Model for Forecasting Lead Times
by: Katz, Harrison, et al.
Published: (2023)

A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros
by: Chakraborty, Chitradipa, et al.
Published: (2025)

Alternate Groundwater Modelling Strategies: A Multi-Faceted Data-Driven Approach
by: K., Muralidharan, et al.
Published: (2025)

Application of Propensity Score Models and Causal Estimators in Observational Studies under Model Misspecification
by: Das, Apu Chandra, et al.
Published: (2026)

Functional Time Transformation Model with Applications to Digital Health
by: Ghosal, Rahul, et al.
Published: (2024)

Multivariate Spatio-temporal Modelling for Completing Cancer Registries and Forecasting Incidence
by: Retegui, Garazi, et al.
Published: (2025)

A Deep Learning Synthetic Likelihood Approximation of a Non-stationary Spatial Model for Extreme Streamflow Forecasting
by: Majumder, Reetam, et al.
Published: (2022)

Scaleable Dynamic Forecast Reconciliation
by: Hollyman, Ross, et al.
Published: (2024)

Bayesian Hierarchical Modeling and Inference for Mechanistic Systems in Industrial Hygiene
by: Pan, Soumyakanti, et al.
Published: (2023)

A Stability-Driven Framework for Long-Term Hourly Electricity Demand Forecasting
by: Dhar, Soumyadeep, et al.
Published: (2025)

A Beta-GAM Hidden Markov Model for Proportion Time Series
by: Nigri, Andrea, et al.
Published: (2026)

Forecasting sub-population mortality using credibility theory
by: Lindholm, Mathias, et al.
Published: (2025)

Bayesian Time Varying Coefficient Model with Applications to Marketing Mix Modeling
by: Ng, Edwin, et al.
Published: (2021)

Sequential Methods for Error Correction of Probabilistic Wind Power Forecasts
by: Jørgensen, Bastian Schmidt, et al.
Published: (2025)

Combined Quantile Forecasting for High-Dimensional Non-Gaussian Data
by: Park, Seeun, et al.
Published: (2024)

Mapping Incidence and Prevalence Peak Data for SIR Forecasting Applications
by: Murph, Alexander C., et al.
Published: (2024)

Random Effect Restricted Mean Survival Time Model
by: Hanada, Keisuke, et al.
Published: (2024)

A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
by: Chen, Yunxiao
Published: (2019)

Multi-dimensional Mortality (MDMx): Sex-Age-Specific Model Life Tables, Fitting, Prediction from Summary Mortality Indicators, and Forecasting
by: Clark, Samuel J.
Published: (2026)

A Joint Model of Longitudinal CVD Risk Factors, Medication Use, and Time-to-Terminal Events
by: Aghabazaz, Zeynab, et al.
Published: (2025)

Network Modeling of Asynchronous Change-Points in Multivariate Time Series
by: McKee, Carson, et al.
Published: (2025)

Modelling Loss of Complexity in Intermittent Time Series and its Application
by: Li, Jie, et al.
Published: (2024)

Probabilistic Modelling of Multiple Long-Term Condition Onset Times
by: Richards, Kieran, et al.
Published: (2024)

State-Space Modeling of Shape-constrained Functional Time Series
by: Hiraki, Daichi, et al.
Published: (2024)

A monotone single index model for spatially referenced multistate current status data
by: Das, Snigdha, et al.
Published: (2025)

Volatility Forecasting Using Similarity-based Parameter Correction and Aggregated Shock Information
by: Lundquist, David P., et al.
Published: (2024)

E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting
by: Panja, Madhurima, et al.
Published: (2024)

Bayesian Matrix Factor Models for Demographic Analysis Across Age and Time
by: Zens, Gregor
Published: (2025)

Likelihood-based Modeling of Covariate-Specific Time-Dependent ROC Curves
by: Sewak, Ainesh, et al.
Published: (2025)

Evaluating Forecasts with scoringutils in R
by: Bosse, Nikos I., et al.
Published: (2022)

Multidimensional Poverty Mapping for Small Areas
by: Das, Soumojit, et al.
Published: (2025)

Bayesian reliability acceptance sampling plan sampling plans under adaptive accelerated type-II censored competing risk data
by: Das, Rathin, et al.
Published: (2025)

Bayesian Graphical High-Dimensional Time Series Models for Detecting Structural Changes
by: Ghosh, Shuvrarghya, et al.
Published: (2025)

Bayesian Time-Varying Tensor Vector Autoregressive Models for Dynamic Effective Connectivity
by: Zhang, Wei, et al.
Published: (2021)

Bridging the Gap: Introducing Joint Models for Longitudinal and Time-to-event Data in the Social Sciences
by: Potts, Sophie, et al.
Published: (2025)

Semiparametric Piecewise Accelerated Failure Time Model for the Analysis of Immune-Oncology Clinical Trials
by: Sunami, Hisato, et al.
Published: (2024)

Compounded Linear Failure Rate Distribution: Properties, Simulation and Analysis
by: Das, Suchismita, et al.
Published: (2026)