Saved in:
| Main Authors: | Dumon, Marine, Lebental, Berengere, Perrin, Guillaume |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.05001 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unified calibration and spatial mapping of fine particulate matter data from multiple low-cost air pollution sensor networks in Baltimore, Maryland
by: Heffernan, Claire, et al.
Published: (2024)
by: Heffernan, Claire, et al.
Published: (2024)
Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
by: Aiello, Luca, et al.
Published: (2025)
by: Aiello, Luca, et al.
Published: (2025)
Bayesian Source Apportionment of Spatio-temporal air pollution data
by: Frigeri, Michela, et al.
Published: (2025)
by: Frigeri, Michela, et al.
Published: (2025)
Prediction of air pollutants PM10 by ARBX(1) processes
by: Álvarez-Liébana, Javier, et al.
Published: (2024)
by: Álvarez-Liébana, Javier, et al.
Published: (2024)
Bayesian variable selection using an informed reversible jump in imaging genetics: an application to schizophrenia
by: Montcho, Djidenou, et al.
Published: (2023)
by: Montcho, Djidenou, et al.
Published: (2023)
Health Prognostics in Multi-sensor Systems Based on Multivariate Functional Data Analysis
by: Yildirim, Cevahir, et al.
Published: (2025)
by: Yildirim, Cevahir, et al.
Published: (2025)
A brief introduction on latent variable based ordinal regression models with an application to survey data
by: Wieditz, Johannes, et al.
Published: (2023)
by: Wieditz, Johannes, et al.
Published: (2023)
Comparison study of variable selection procedures in high-dimensional Gaussian linear regression
by: Lacroix, Perrine, et al.
Published: (2021)
by: Lacroix, Perrine, et al.
Published: (2021)
Functional and variables selection in extreme value models for regional flood frequency analysis
by: Gardini, Aldo
Published: (2023)
by: Gardini, Aldo
Published: (2023)
A Markov switching discrete-time Hawkes process: application to the monitoring of bats behavior
by: Bonnet, Anna, et al.
Published: (2025)
by: Bonnet, Anna, et al.
Published: (2025)
Multilevel functional distributional models with application to continuous glucose monitoring in diabetes clinical trials
by: Matabuena, Marcos, et al.
Published: (2024)
by: Matabuena, Marcos, et al.
Published: (2024)
Mapping beyond diseases: Controlled variable selection for secondary phenotypes using tilted knockoffs
by: Zhao, Qian, et al.
Published: (2025)
by: Zhao, Qian, et al.
Published: (2025)
Enhanced variable selection for boosting sparser and less complex models in distributional copula regression
by: Strömer, Annika, et al.
Published: (2024)
by: Strömer, Annika, et al.
Published: (2024)
Effective treatment allocation strategies under partial interference
by: Dean, Samantha G, et al.
Published: (2025)
by: Dean, Samantha G, et al.
Published: (2025)
Bayesian Estimation of Variance under Fine Stratification via Mean-Variance Smoothing
by: Mosaferi, Sepideh, et al.
Published: (2026)
by: Mosaferi, Sepideh, et al.
Published: (2026)
A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
by: Alvares, Danilo, et al.
Published: (2024)
by: Alvares, Danilo, et al.
Published: (2024)
Sensitivity analysis for contamination in egocentric-network randomized trials with interference
by: Weinstein, Bar, et al.
Published: (2026)
by: Weinstein, Bar, et al.
Published: (2026)
Sparse higher order partial least squares for simultaneous variable selection, dimension reduction, and tensor denoising
by: Park, Kwangmoon, et al.
Published: (2023)
by: Park, Kwangmoon, et al.
Published: (2023)
Double Robust Variance Estimation with Parametric Working Models
by: Shook-Sa, Bonnie E., et al.
Published: (2024)
by: Shook-Sa, Bonnie E., et al.
Published: (2024)
Non-parametric inference on calibration of predicted risks
by: Sadatsafavi, Mohsen, et al.
Published: (2023)
by: Sadatsafavi, Mohsen, et al.
Published: (2023)
Design-based nested instrumental variable analysis
by: Chen, Zhe, et al.
Published: (2025)
by: Chen, Zhe, et al.
Published: (2025)
PliableBVS: A flexible Bayesian variable selection method for modeling interactions with mandatory modifying variables
by: Asenso, Theophilus Quachie, et al.
Published: (2026)
by: Asenso, Theophilus Quachie, et al.
Published: (2026)
Zero Variance Portfolio
by: Chang, Jinyuan, et al.
Published: (2026)
by: Chang, Jinyuan, et al.
Published: (2026)
Prior distributions for Gaussian processes in computer model emulation and calibration
by: Gu, Mengyang, et al.
Published: (2025)
by: Gu, Mengyang, et al.
Published: (2025)
A calibrated BISG for inferring race from surname and geolocation
by: Greengard, Philip, et al.
Published: (2023)
by: Greengard, Philip, et al.
Published: (2023)
A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
by: Yu, Mingyan, et al.
Published: (2024)
by: Yu, Mingyan, et al.
Published: (2024)
A Direct Variance Estimation (DiVE) for Meta-Analysis of Median Differences
by: Okuda, Tadahisa, et al.
Published: (2026)
by: Okuda, Tadahisa, et al.
Published: (2026)
Causal health impacts of power plant emission controls under modeled and uncertain physical process interference
by: Wikle, Nathan B., et al.
Published: (2023)
by: Wikle, Nathan B., et al.
Published: (2023)
Bayesian variable selection in a Cox proportional hazards model with the "Sum of Single Effects" prior
by: Yang, Yunqi, et al.
Published: (2025)
by: Yang, Yunqi, et al.
Published: (2025)
Smoothing Variances Across Time: Adaptive Stochastic Volatility
by: Cho, Jason B., et al.
Published: (2024)
by: Cho, Jason B., et al.
Published: (2024)
A novel generalized additive scalar-on-function regression model for partially observed multidimensional functional data: An application to air quality classification
by: Hernández-Amaro, Pavel, et al.
Published: (2025)
by: Hernández-Amaro, Pavel, et al.
Published: (2025)
Eliciting prior information from clinical trials via calibrated Bayes factor
by: Demartino, Roberto Macrì, et al.
Published: (2024)
by: Demartino, Roberto Macrì, et al.
Published: (2024)
Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National Covid Collaborative Cohort data
by: Wang, Runqiu, et al.
Published: (2023)
by: Wang, Runqiu, et al.
Published: (2023)
Bayesian hidden Markov models for latent variable labeling assignments in conflict research: application to the role ceasefires play in conflict dynamics
by: Williams, Jonathan P, et al.
Published: (2021)
by: Williams, Jonathan P, et al.
Published: (2021)
Beyond data: leveraging non-empirical information and expert knowledge in Bayesian model calibration
by: Vollert, Sarah A., et al.
Published: (2025)
by: Vollert, Sarah A., et al.
Published: (2025)
Functional Analysis of Variance for Association Studies
by: Vsevolozhskaya, Olga A., et al.
Published: (2025)
by: Vsevolozhskaya, Olga A., et al.
Published: (2025)
Continuous monitoring of delayed outcomes in basket trials
by: Diniz, Marcio A., et al.
Published: (2026)
by: Diniz, Marcio A., et al.
Published: (2026)
Combining BART and Principal Stratification to estimate the effect of intermediate variables on primary outcomes with application to estimating the effect of family planning on employment in Nigeria and Senegal
by: Garraza, Lucas Godoy, et al.
Published: (2024)
by: Garraza, Lucas Godoy, et al.
Published: (2024)
PPD-CPP: Pointwise predictive density calibrated-power prior in dynamically borrowing historical information
by: Wang, Shixuan, et al.
Published: (2025)
by: Wang, Shixuan, et al.
Published: (2025)
Bayesian nonparametric modeling of dynamic pollution clusters through an autoregressive logistic-beta Stirling-gamma process
by: Marin, Santiago, et al.
Published: (2026)
by: Marin, Santiago, et al.
Published: (2026)
Similar Items
-
Unified calibration and spatial mapping of fine particulate matter data from multiple low-cost air pollution sensor networks in Baltimore, Maryland
by: Heffernan, Claire, et al.
Published: (2024) -
Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
by: Aiello, Luca, et al.
Published: (2025) -
Bayesian Source Apportionment of Spatio-temporal air pollution data
by: Frigeri, Michela, et al.
Published: (2025) -
Prediction of air pollutants PM10 by ARBX(1) processes
by: Álvarez-Liébana, Javier, et al.
Published: (2024) -
Bayesian variable selection using an informed reversible jump in imaging genetics: an application to schizophrenia
by: Montcho, Djidenou, et al.
Published: (2023)