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Main Authors:	Macrì-Demartino, Roberto, Egidi, Leonardo, Torelli, Nicola
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	https://arxiv.org/abs/2508.05891
Tags:	Add Tag No Tags, Be the first to tag this record!

Eliciting prior information from clinical trials via calibrated Bayes factor
by: Demartino, Roberto Macrì, et al.
Published: (2024)

Mixture priors for replication studies
by: Macrì-Demartino, Roberto, et al.
Published: (2024)

Bayesian multilevel step-and-turn models for evaluating player movement in American football
by: Nguyen, Quang, et al.
Published: (2026)

Partial membership models for soft clustering of multivariate football player performance data
by: Seri, Emiliano, et al.
Published: (2024)

The trade-off between model flexibility and accuracy of the Expected Threat model in football
by: van Arem, Koen W., et al.
Published: (2025)

Assessing replication success via skeptical mixture priors
by: Consonni, Guido, et al.
Published: (2023)

Leicester's Tale: Another Perspective on the EPL 2015/16 Through Expected Goals (xG) Modelling
by: Tahir, Sheikh Badar Ud Din, et al.
Published: (2026)

Improving prediction models by incorporating external data with weights based on similarity
by: Behrens, Max, et al.
Published: (2024)

A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches
by: Alvares, Danilo, et al.
Published: (2024)

Bayesian sample size calculations for external validation studies of risk prediction models
by: Sadatsafavi, Mohsen, et al.
Published: (2025)

A Bayesian survival model induced by hurdle zero-modified power series discrete frailty with dispersion: an application in lung cancer
by: Molina, Katy C., et al.
Published: (2025)

Bayesian spatio-temporal weighted regression for integrating missing and misaligned environmental data
by: Junglee, Yovna, et al.
Published: (2025)

Empirical best prediction of poverty indicators via nested error regression with high dimensional parameters
by: Chen, Yuting, et al.
Published: (2025)

Bayesian Multilevel Bivariate Spatial Modelling of Italian School Data
by: Cefalo, Leonardo, et al.
Published: (2024)

Learning association from multiple intermediate events for dynamic prediction of survival: an application to cardiovascular disease prognosis
by: Yu, Tonghui, et al.
Published: (2026)

Bayesian nonparametric modeling of dynamic pollution clusters through an autoregressive logistic-beta Stirling-gamma process
by: Marin, Santiago, et al.
Published: (2026)

Bayesian sample size determination using robust commensurate priors with interpretable discrepancy weights
by: Whitehead, Lou E., et al.
Published: (2024)

A Bayesian framework for measuring association and its application to emotional dynamics in Web discourse
by: Xavier, Henrique S., et al.
Published: (2023)

Strategic decision points in experiments: A predictive Bayesian optional stopping method
by: Yang, Xiaomi, et al.
Published: (2025)

Residual lifetime prediction for heterogeneous degradation data by Bayesian semi-parametric method
by: Karmakar, Barin, et al.
Published: (2025)

Bayesian semiparametric modelling of biomarker variability in joint models
by: Chen, Sida, et al.
Published: (2025)

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)

Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
by: Bhandari, Saurabh, et al.
Published: (2025)

Effects of model misspecification on small area estimators
by: Chen, Yuting, et al.
Published: (2024)

Bayesian Evidence Synthesis for the common effect model
by: Nikolakopoulos, Stavros, et al.
Published: (2021)

Combining chains of Bayesian models with Markov melding
by: Manderson, Andrew A., et al.
Published: (2021)

Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
by: Rustand, Denis, et al.
Published: (2026)

A Markov switching discrete-time Hawkes process: application to the monitoring of bats behavior
by: Bonnet, Anna, et al.
Published: (2025)

Hierarchical Bayesian spectral analysis of multiple stationary time series
by: Lee, Rebecca, et al.
Published: (2025)

Robust local empirical Bayes correction for Bayesian modeling
by: Hayashi, Yoshiko
Published: (2025)

Pathway-based Bayesian factor models for 'omics data
by: Mauri, Lorenzo, et al.
Published: (2026)

A Bayesian multivariate extreme value mixture model
by: Hu, Chenglei, et al.
Published: (2024)

Overlap, matching, or entropy weights: what are we weighting for?
by: Matsouaka, Roland A., et al.
Published: (2022)

A dimension reduction approach to edge weight estimation for use in spatial models
by: Christensen, Michael F., et al.
Published: (2024)

Flexible extreme thresholds through generalised Bayesian model averaging
by: Jessup, Sébastien, et al.
Published: (2025)

PPD-CPP: Pointwise predictive density calibrated-power prior in dynamically borrowing historical information
by: Wang, Shixuan, et al.
Published: (2025)

Multipopulation mortality modelling and forecasting: The multivariate functional principal component with time weightings approaches
by: Lam, Ka Kin, et al.
Published: (2021)

How to develop, externally validate, and update multinomial prediction models
by: Gehringer, Celina K, et al.
Published: (2023)

Separable models for dynamic signed networks
by: Caimo, Alberto, et al.
Published: (2025)

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