Copertina

Joining and splitting models with Markov melding

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Goudie, Robert J. B., Presanis, Anne M., Lunn, David, De Angelis, Daniela, Wernisch, Lorenz
Natura:	Preprint
Pubblicazione:	2016
Soggetti:	Methodology Applications Computation
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Chained Markov melding using divide and conquer sequential Monte Carlo
di: Liu, Yixuan, et al.
Pubblicazione: (2026)

A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses
di: Pitt, Matilda, et al.
Pubblicazione: (2026)

Dynamic Factor Analysis with Dependent Gaussian Processes for High-Dimensional Gene Expression Trajectories
di: Cai, Jiachen, et al.
Pubblicazione: (2023)

Inferring Epidemics from Multiple Dependent Data via Pseudo-Marginal Methods
di: Corbella, Alice, et al.
Pubblicazione: (2022)

Learning associations of COVID-19 hospitalizations with wastewater viral signals by Markov modulated models
di: Peng, K. Ken, et al.
Pubblicazione: (2024)

A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
di: Morsomme, Raphael, et al.
Pubblicazione: (2024)

VT-MRF-SPF: Variable Target Markov Random Field Scalable Particle Filter
di: Ning, Ning
Pubblicazione: (2024)

Estimating the duration of RT-PCR positivity for SARS-CoV-2 from doubly interval censored data with undetected infections
di: Blake, Joshua, et al.
Pubblicazione: (2025)

Flexible unimodal density estimation in hidden Markov models
di: Koslik, Jan-Ole, et al.
Pubblicazione: (2025)

Modelling multi-scale state-switching functional data with hidden Markov models
di: Sidrow, Evan, et al.
Pubblicazione: (2021)

pintervals: an R package for model-agnostic prediction intervals
di: Randahl, David, et al.
Pubblicazione: (2026)

Hidden semi-Markov models with inhomogeneous state dwell-time distributions
di: Koslik, Jan-Ole
Pubblicazione: (2024)

Smoothing Variances Across Time: Adaptive Stochastic Volatility
di: Cho, Jason B., et al.
Pubblicazione: (2024)

Inference on the state process of periodically inhomogeneous hidden Markov models for animal behavior
di: Koslik, Jan-Ole, et al.
Pubblicazione: (2023)

A nonstationary spatial model of PM2.5 with localized transfer learning from numerical model output
di: Gong, Wenlong, et al.
Pubblicazione: (2025)

How Untested Modeling Assumptions Influence the U.S. EPA's Estimates of Population-Level Ozone Exposure Risk
di: Glasgow, Garrett, et al.
Pubblicazione: (2025)

Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies
di: Sidrow, Evan, et al.
Pubblicazione: (2024)

Flexible Estimation of the Heterogeneous Non-Parametric Component in a Relative Survival Cure Model
di: Di Mari, Fabrizio, et al.
Pubblicazione: (2025)

Hidden Markov models with an unknown number of states and a repulsive prior on the state parameters
di: Rotous, Ioannis, et al.
Pubblicazione: (2024)

Detecting Conflicts in Evidence Synthesis Models Using Score Discrepancies
di: Yang, Fuming, et al.
Pubblicazione: (2025)

A novel density-based approach for estimating unknown means, distribution visualisations and meta-analyses of quantiles
di: De Livera, Alysha M, et al.
Pubblicazione: (2024)

Improved order selection method for hidden Markov models: a case study with movement data
di: Dupont, Fanny, et al.
Pubblicazione: (2024)

Hidden Markov Individual-level Models of Infectious Disease Transmission
di: Douwes-Schultz, Dirk, et al.
Pubblicazione: (2026)

Markov-switching State Space Models for Uncovering Musical Interpretation
di: McDonald, Daniel J., et al.
Pubblicazione: (2019)

Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
di: Adin, A., et al.
Pubblicazione: (2023)

Gridding and Parameter Expansion for Scalable Latent Gaussian Models of Spatial Multivariate Data
di: Peruzzi, Michele, et al.
Pubblicazione: (2021)

Bayesian Non-Homogeneous Hidden Markov Model with Variable Selection for Investigating Drivers of Seizure Risk Cycling
di: Wang, Emily T., et al.
Pubblicazione: (2022)

Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams
di: Morsomme, Raphael, et al.
Pubblicazione: (2025)

Fast and robust invariant generalized linear models
di: Knight, Parker, et al.
Pubblicazione: (2025)

Adaptive Penalized Likelihood method for Markov Chains
di: Zhou, Yining, et al.
Pubblicazione: (2024)

On the application of Gaussian graphical models to paired data problems
di: Ranciati, Saverio, et al.
Pubblicazione: (2023)

Bayesian hidden Markov models for latent variable labeling assignments in conflict research: application to the role ceasefires play in conflict dynamics
di: Williams, Jonathan P, et al.
Pubblicazione: (2021)

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

Sequential Bayesian inference for stochastic epidemic models of cumulative incidence
di: Whitaker, Sam A., et al.
Pubblicazione: (2024)

Strategic analysis of hydrogen market dynamics across collaboration models
di: Asghari, Mohammad, et al.
Pubblicazione: (2025)

Time-variant reliability using time-dependent surrogate models
di: Marelli, Stefano, et al.
Pubblicazione: (2026)

Link prediction in ecological networks under extreme taxonomic bias
di: Kampe, Jennifer N., et al.
Pubblicazione: (2025)

Reliability analysis for data-driven noisy models using active learning
di: Pires, Anderson V., et al.
Pubblicazione: (2024)

Tutorial for Surrogate Endpoint Validation Using Joint modeling and Mediation Analysis
di: Coent, Quentin Le, et al.
Pubblicazione: (2025)