:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Dhar, Soumyadeep, Parmar, Ayushkumar, Qiu, Haifeng, Senga, Juan Ramon L., Viswanathan, S.
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	https://arxiv.org/abs/2507.15001
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
by: Tran, Allen, et al.
Published: (2023)

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

Additive Covariance Matrix Models: Modelling Regional Electricity Net-Demand in Great Britain
by: Gioia, V., et al.
Published: (2022)

A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions
by: Hewage, Harsha Chamara, et al.
Published: (2025)

A Time-Scaled ETAS Model for Earthquake Forecasting
by: Das, Agniva, et al.
Published: (2025)

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

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

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

Stabilizing Variable Selection and Regression
by: Pfister, Niklas, et al.
Published: (2019)

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

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

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)

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

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

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

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)

A Graphical Framework for Testing Hierarchically Structured Hypothesis Families
by: Qiu, Zhiying, et al.
Published: (2018)

Parapolitics and Roll-Call Voting in Colombia: A Bayesian Euclidean and Spherical Spatial Analysis
by: Sosa, Juan, et al.
Published: (2025)

Extreme-Path Benchmarks for Sequential Probability Forecasts
by: Pipping-Gamón, Jonathan, et al.
Published: (2026)

A Bayesian Framework for Multivariate Differential Analysis
by: Chion, Marie, et al.
Published: (2023)

Difference-in-Differences under Bipartite Network Interference: A Framework for Quasi-Experimental Assessment of the Effects of Environmental Policies on Health
by: Chen, Kevin L., et al.
Published: (2024)

Forecasting Italian daily electricity generation disaggregated by geographical zones and energy sources using coherent forecast combination
by: Girolimetto, Daniele, et al.
Published: (2025)

A Novel Framework for Modeling Quarantinable Disease Transmission
by: Liu, Wenchen, et al.
Published: (2025)

A Unified Bayesian Framework for Mortality Model Selection
by: Diana, Alex, et al.
Published: (2024)

Partially Directed Configuration Model with Homophily and Respondent-Driven Sampling
by: Sepulveda-Peñaloza, Alejandro, et al.
Published: (2025)

Modeling Extreme Events: Univariate and Multivariate Data-Driven Approaches
by: Buriticá, Gloria, et al.
Published: (2024)

An Observation-Driven State-Space Model for Claims Size Modeling
by: Ahn, Jae Youn, et al.
Published: (2024)

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

Estimating the Effects of Heatwaves on Health: A Causal Inference Framework
by: Grossi, Giulio, et al.
Published: (2025)

A Multivariate Copula-based Bayesian Framework for Doping Detection
by: Deliu, Nina, et al.
Published: (2024)

Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!
by: Gruber, Luis, et al.
Published: (2022)

Forecast Linear Augmented Projection (FLAP): A free lunch to reduce forecast error variance
by: Yang, Yangzhuoran Fin, et al.
Published: (2024)

Bayesian Cointegrated Panels in Digital Marketing
by: Carranza-Sánchez, Juan David, et al.
Published: (2024)

A General Framework for Powerful Confounder Adjustment in Omics Association Studies
by: Roy, Asmita, et al.
Published: (2022)

A Unified Bayesian Framework for Modeling Measurement Error in Multinomial Data
by: Koslovsky, Matthew D., et al.
Published: (2023)

A Corrected Score Function Framework for Modelling Circadian Gene Expression
by: Gorczyca, Michael, et al.
Published: (2024)

Degree of Interference: A General Framework For Causal Inference Under Interference
by: Ohnishi, Yuki, et al.
Published: (2022)

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