Bayesian Nonhomogeneous hidden Markov models to leverage routine in physical activity monitoring with informative wear time
Fuente:
arXiv
Saved in:
| Main Authors: | Cantoni, Beatrice, Rauschendorfer, Savannah V., Roth, Michael E., Livingston, J. Andrew, Kleinerman, Eugenie S., Zigler, Corwin M. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
by: Antonelli, Joseph, et al.
Published: (2024)
by: Antonelli, Joseph, et al.
Published: (2024)
Time-Varying Confounding Bias in Observational Geoscience with Application to Induced Seismicity
by: Xiao, Yuchen, et al.
Published: (2025)
by: Xiao, Yuchen, et al.
Published: (2025)
Expectile hidden Markov regression models for analyzing cryptocurrency returns
by: Foroni, Beatrice, et al.
Published: (2023)
by: Foroni, Beatrice, et al.
Published: (2023)
Borrowing strength between unaligned binary time-series via Bayesian nonparametric rescaling of Unified Skewed Normal priors
by: Cantoni, Beatrice, et al.
Published: (2025)
by: Cantoni, Beatrice, et al.
Published: (2025)
Bayesian inference for hidden Markov models under genuine multimodality with application to ecological time series
by: Gallegos-Herrada, Marco A., et al.
Published: (2026)
by: Gallegos-Herrada, Marco A., et al.
Published: (2026)
Quantile and expectile copula-based hidden Markov regression models for the analysis of the cryptocurrency market
by: Foroni, Beatrice, et al.
Published: (2023)
by: Foroni, Beatrice, et al.
Published: (2023)
Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach
by: Calvo, Gabriel, et al.
Published: (2023)
by: Calvo, Gabriel, et al.
Published: (2023)
Toward a Data Processing Pipeline for Mobile-Phone Tracking Data
by: Jurek, Marcin, et al.
Published: (2025)
by: Jurek, Marcin, et al.
Published: (2025)
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)
Estimating parameters of continuous-time multi-chain hidden Markov models for infectious diseases
by: Bouzalmat, Ibrahim, et al.
Published: (2024)
by: Bouzalmat, Ibrahim, et al.
Published: (2024)
Flexible unimodal density estimation in hidden Markov models
by: Koslik, Jan-Ole, et al.
Published: (2025)
by: Koslik, Jan-Ole, et al.
Published: (2025)
Modelling multi-scale state-switching functional data with hidden Markov models
by: Sidrow, Evan, et al.
Published: (2021)
by: Sidrow, Evan, et al.
Published: (2021)
Combining chains of Bayesian models with Markov melding
by: Manderson, Andrew A., et al.
Published: (2021)
by: Manderson, Andrew A., et al.
Published: (2021)
Scale dependence in hidden Markov models for animal movement
by: Michelot, Théo, et al.
Published: (2025)
by: Michelot, Théo, 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)
by: Williams, Jonathan P, et al.
Published: (2021)
Inference on the state process of periodically inhomogeneous hidden Markov models for animal behavior
by: Koslik, Jan-Ole, et al.
Published: (2023)
by: Koslik, Jan-Ole, et al.
Published: (2023)
Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies
by: Sidrow, Evan, et al.
Published: (2024)
by: Sidrow, Evan, et al.
Published: (2024)
Bayesian Nonparametric Trees for Principal Causal Effects
by: Kim, Chanmin, et al.
Published: (2024)
by: Kim, Chanmin, et al.
Published: (2024)
A capture-recapture hidden Markov model framework for register-based inference of population size and dynamics
by: Brown, Lucy Y, et al.
Published: (2026)
by: Brown, Lucy Y, et al.
Published: (2026)
Detecting disease progression from animal movement using hidden Markov models
by: Kim, Dongmin, et al.
Published: (2025)
by: Kim, Dongmin, et al.
Published: (2025)
Improved order selection method for hidden Markov models: a case study with movement data
by: Dupont, Fanny, et al.
Published: (2024)
by: Dupont, Fanny, et al.
Published: (2024)
Estimating the distance at which narwhal $(\textit{Monodon monoceros})$ respond to disturbance: a penalized threshold hidden Markov model
by: Dupont, Fanny, et al.
Published: (2026)
by: Dupont, Fanny, et al.
Published: (2026)
Extending finite mixture models with skew-normal distributions and hidden Markov models for time series
by: Nigri, Andrea, et al.
Published: (2025)
by: Nigri, Andrea, et al.
Published: (2025)
Correcting heterogeneous diagnostic bias when developing clinical prediction models using causal hidden Markov models
by: Benitez-Aurioles, Jose, et al.
Published: (2026)
by: Benitez-Aurioles, Jose, 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)
by: Bonnet, Anna, et al.
Published: (2025)
Evaluating the impact of longitudinal treatment strategies in the presence of informative monitoring and time-dependent confounding
by: Pirondini, Leah, et al.
Published: (2026)
by: Pirondini, Leah, et al.
Published: (2026)
Conditional forecasting of bus travel time and passenger occupancy with Bayesian Markov regime-switching vector autoregression
by: Chen, Xiaoxu, et al.
Published: (2024)
by: Chen, Xiaoxu, et al.
Published: (2024)
A Bayesian factor analysis model for non-randomised staggered designs
by: Schmidt, Constantin, et al.
Published: (2025)
by: Schmidt, Constantin, et al.
Published: (2025)
Semi-Markov Models with Particle-Based Bayesian Inference for Epidemics
by: Aschermayr, Patrick, et al.
Published: (2026)
by: Aschermayr, Patrick, et al.
Published: (2026)
A Bayesian framework for analyzing alleged cheating in sports through hidden codes, with applications to bridge and baseball
by: Boonstra, Aafko, et al.
Published: (2024)
by: Boonstra, Aafko, et al.
Published: (2024)
Hidden semi-Markov models with inhomogeneous state dwell-time distributions
by: Koslik, Jan-Ole
Published: (2024)
by: Koslik, Jan-Ole
Published: (2024)
Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models
by: Anis, Mohammad, et al.
Published: (2024)
by: Anis, Mohammad, et al.
Published: (2024)
Markov switching zero-inflated space-time multinomial models for comparing multiple infectious diseases
by: Douwes-Schultz, Dirk, et al.
Published: (2024)
by: Douwes-Schultz, Dirk, et al.
Published: (2024)
BMRMM: An R Package for Bayesian Markov (Renewal) Mixed Models
by: Wu, Yutong, et al.
Published: (2024)
by: Wu, Yutong, et al.
Published: (2024)
Bayesian inference for the Markov-modulated Poisson process with an outcome process
by: Luo, Yu, et al.
Published: (2024)
by: Luo, Yu, et al.
Published: (2024)
A Bayesian approach for fitting semi-Markov mixture models of cancer latency to individual-level data
by: Morsomme, Raphael, et al.
Published: (2024)
by: Morsomme, Raphael, et al.
Published: (2024)
GPU-accelerated Bayesian inference for block-cave mine monitoring via muon tomography
by: Biron-Lattes, Miguel, et al.
Published: (2026)
by: Biron-Lattes, Miguel, et al.
Published: (2026)
Slamming the sham: A Bayesian model for adaptive adjustment with noisy control data
by: Gelman, Andrew, et al.
Published: (2019)
by: Gelman, Andrew, et al.
Published: (2019)
Adaptive sequential Monte Carlo for structured cross validation in Bayesian hierarchical models
by: Han, Geonhee, et al.
Published: (2025)
by: Han, Geonhee, et al.
Published: (2025)
Similar Items
-
Causal health impacts of power plant emission controls under modeled and uncertain physical process interference
by: Wikle, Nathan B., et al.
Published: (2023) -
Causal Analysis of Air Pollution Mixtures: Estimands, Positivity, and Extrapolation
by: Antonelli, Joseph, et al.
Published: (2024) -
Time-Varying Confounding Bias in Observational Geoscience with Application to Induced Seismicity
by: Xiao, Yuchen, et al.
Published: (2025) -
Expectile hidden Markov regression models for analyzing cryptocurrency returns
by: Foroni, Beatrice, et al.
Published: (2023) -
Borrowing strength between unaligned binary time-series via Bayesian nonparametric rescaling of Unified Skewed Normal priors
by: Cantoni, Beatrice, et al.
Published: (2025)