Guardado en:
| Autores principales: | Lambert, Guerlain, Helbert, Céline, Lauvernet, Claire |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2601.11790 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Optimal Design in Repeated Testing for Count Data
por: Parsamaram, Parisa, et al.
Publicado: (2024)
por: Parsamaram, Parisa, et al.
Publicado: (2024)
Surrogate-based Bayesian calibration methods for chaotic systems: a comparison of traditional and non-traditional approaches
por: Holthuijzen, Maike F., et al.
Publicado: (2025)
por: Holthuijzen, Maike F., et al.
Publicado: (2025)
Estimation of logistic regression parameters for complex survey data: a real data based simulation study
por: Iparragirre, Amaia, et al.
Publicado: (2023)
por: Iparragirre, Amaia, et al.
Publicado: (2023)
Predicting Dengue Outbreaks: A Dynamic Approach with Variable Length Markov Chains and Exogenous Factors
por: Rocha, Marília Gabriela, et al.
Publicado: (2024)
por: Rocha, Marília Gabriela, et al.
Publicado: (2024)
Exact Bayesian Planning for Simple Step-Stress Accelerated Life Testing with Competing Risks
por: Prajapat, Kiran
Publicado: (2026)
por: Prajapat, Kiran
Publicado: (2026)
Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples
por: Imberg, Henrik, et al.
Publicado: (2022)
por: Imberg, Henrik, et al.
Publicado: (2022)
A Novel Theoretical Framework for Exponential Smoothing
por: Bernardi, Enrico, et al.
Publicado: (2024)
por: Bernardi, Enrico, et al.
Publicado: (2024)
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis
por: Mostafa, Fahad, et al.
Publicado: (2025)
por: Mostafa, Fahad, et al.
Publicado: (2025)
Design-Based Variance Estimation for Modern Heterogeneity-Robust Difference-in-Differences Estimators
por: Gerber, Isaac
Publicado: (2026)
por: Gerber, Isaac
Publicado: (2026)
Quantization-based LHS for dependent inputs : application to sensitivity analysis of environmental models
por: Lambert, Guerlain, et al.
Publicado: (2024)
por: Lambert, Guerlain, et al.
Publicado: (2024)
Linear Discriminant Analysis with High-dimensional Mixed Variables
por: Jiang, Binyan, et al.
Publicado: (2021)
por: Jiang, Binyan, et al.
Publicado: (2021)
Bayesian Sequential Optimal Experimental Design for Nonlinear Models Using Policy Gradient Reinforcement Learning
por: Shen, Wanggang, et al.
Publicado: (2021)
por: Shen, Wanggang, et al.
Publicado: (2021)
Statistical and Machine Learning Analysis of Traffic Accidents on US 158 in Currituck County: A Comparison with HSM Predictions
por: Sawyer, Jennifer, et al.
Publicado: (2025)
por: Sawyer, Jennifer, et al.
Publicado: (2025)
Stochastic EM Estimation and Inference for Zero-Inflated Beta-Binomial Mixed Models for Longitudinal Count Data
por: Barrera, John, et al.
Publicado: (2026)
por: Barrera, John, et al.
Publicado: (2026)
Three approaches to supervised learning for compositional data with pairwise logratios
por: Coenders, Germa, et al.
Publicado: (2021)
por: Coenders, Germa, et al.
Publicado: (2021)
Asymptotic Theory for Graphical SLOPE: Precision Estimation and Pattern Convergence
por: Hejný, Ivan, et al.
Publicado: (2026)
por: Hejný, Ivan, et al.
Publicado: (2026)
A Model-Agnostic Bootstrap for Macro-Level Claims Reserving Under the Conditioning Principle
por: Van Oirbeek, Robin, et al.
Publicado: (2026)
por: Van Oirbeek, Robin, et al.
Publicado: (2026)
A Bayesian Updating Framework for Long-term Multi-Environment Trial Data in Plant Breeding
por: Bark, Stephan, et al.
Publicado: (2026)
por: Bark, Stephan, et al.
Publicado: (2026)
The Negative Binomial Chain-Ladder: A Full Likelihood Model for Claim Count Reserving
por: Van Oirbeek, Robin
Publicado: (2026)
por: Van Oirbeek, Robin
Publicado: (2026)
PROXIMA: A Reliability Scoring Framework for Proxy Metrics in Online Controlled Experiments
por: Amudala, Avinash
Publicado: (2026)
por: Amudala, Avinash
Publicado: (2026)
Branch and Bound to Assess Stability of Regression Coefficients in Uncertain Models
por: Knaeble, Brian, et al.
Publicado: (2024)
por: Knaeble, Brian, et al.
Publicado: (2024)
Empirical Likelihood-Based Fairness Auditing: Distribution-Free Certification and Flagging
por: Tang, Jie, et al.
Publicado: (2026)
por: Tang, Jie, et al.
Publicado: (2026)
ALMAB-DC: Active Learning, Multi-Armed Bandits, and Distributed Computing for Sequential Experimental Design and Black-Box Optimization
por: Hui-Mean, Foo, et al.
Publicado: (2026)
por: Hui-Mean, Foo, et al.
Publicado: (2026)
Goal-Oriented Bayesian Optimal Experimental Design for Nonlinear Models using Markov Chain Monte Carlo
por: Zhong, Shijie, et al.
Publicado: (2024)
por: Zhong, Shijie, et al.
Publicado: (2024)
Expert Elicitation and Data Noise Learning for Material Flow Analysis using Bayesian Inference
por: Dong, Jiayuan, et al.
Publicado: (2022)
por: Dong, Jiayuan, et al.
Publicado: (2022)
Moment-Based Inference for Regression with Latent Dirichlet Covariates
por: Jiang, Ziyu
Publicado: (2026)
por: Jiang, Ziyu
Publicado: (2026)
A stochastic method to estimate a zero-inflated two-part mixed model for human microbiome data
por: Barrera, John, et al.
Publicado: (2025)
por: Barrera, John, et al.
Publicado: (2025)
Bayesian Emulation of Grey-Box Multi-Model Ensembles Exploiting Known Interior Structure
por: Owen, Jonathan, et al.
Publicado: (2024)
por: Owen, Jonathan, et al.
Publicado: (2024)
A2 Copula-Driven Spatial Bayesian Neural Network For Modeling Non-Gaussian Dependence: A Simulation Study
por: Aich, Agnideep, et al.
Publicado: (2025)
por: Aich, Agnideep, et al.
Publicado: (2025)
River flow modelling using nonparametric functional data analysis
por: Quintela-del-Río, Alejandro, et al.
Publicado: (2024)
por: Quintela-del-Río, Alejandro, et al.
Publicado: (2024)
Design-based causal inference in bipartite experiments
por: Lu, Sizhu, et al.
Publicado: (2025)
por: Lu, Sizhu, et al.
Publicado: (2025)
Neural Bayes estimation and selection for complex bivariate extremal dependence models
por: André, Lídia M., et al.
Publicado: (2025)
por: André, Lídia M., et al.
Publicado: (2025)
Mean--Variance Risk-Aware Bayesian Optimal Experimental Design for Nonlinear Models
por: Shen, Wanggang, et al.
Publicado: (2026)
por: Shen, Wanggang, et al.
Publicado: (2026)
Eliciting core spatial association from spatial time series: a random matrix approach
por: Bhattacharjee, Madhuchhanda, et al.
Publicado: (2026)
por: Bhattacharjee, Madhuchhanda, et al.
Publicado: (2026)
Spatio-temporal patterns of diurnal temperature: a random matrix approach I-case of India
por: Bhattacharjee, Madhuchhanda, et al.
Publicado: (2024)
por: Bhattacharjee, Madhuchhanda, et al.
Publicado: (2024)
Berry-Esseen bounds for design-based causal inference with possibly diverging treatment levels and varying group sizes
por: Shi, Lei, et al.
Publicado: (2022)
por: Shi, Lei, et al.
Publicado: (2022)
A Decision Analysis Framework for High-fidelity and Low-fidelity Systems with Applications in Manufacturing Processes
por: Zhang, Fan, et al.
Publicado: (2026)
por: Zhang, Fan, et al.
Publicado: (2026)
Fused Multinomial Logistic Regression Utilizing Summary-Level External Machine-learning Information
por: Dai, Chi-Shian, et al.
Publicado: (2026)
por: Dai, Chi-Shian, et al.
Publicado: (2026)
Causal inference with ordinal outcomes: copula-based identification, estimation and sensitivity analysis
por: He, Peiyu, et al.
Publicado: (2026)
por: He, Peiyu, et al.
Publicado: (2026)
Optimizing Forecast Combination Weights Using Exponentially Weighted Hit and Win Rate Losses
por: van Eijk, Henry D., et al.
Publicado: (2025)
por: van Eijk, Henry D., et al.
Publicado: (2025)
Ejemplares similares
-
Optimal Design in Repeated Testing for Count Data
por: Parsamaram, Parisa, et al.
Publicado: (2024) -
Surrogate-based Bayesian calibration methods for chaotic systems: a comparison of traditional and non-traditional approaches
por: Holthuijzen, Maike F., et al.
Publicado: (2025) -
Estimation of logistic regression parameters for complex survey data: a real data based simulation study
por: Iparragirre, Amaia, et al.
Publicado: (2023) -
Predicting Dengue Outbreaks: A Dynamic Approach with Variable Length Markov Chains and Exogenous Factors
por: Rocha, Marília Gabriela, et al.
Publicado: (2024) -
Exact Bayesian Planning for Simple Step-Stress Accelerated Life Testing with Competing Risks
por: Prajapat, Kiran
Publicado: (2026)