Modelling multi-scale state-switching functional data with hidden Markov models
Fuente:
arXiv
Saved in:
| Main Authors: | Sidrow, Evan, Heckman, Nancy, Fortune, Sarah M. E., Trites, Andrew W., Murphy, Ian, Auger-Méthé, Marie |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Flexible unimodal density estimation in hidden Markov models
by: Koslik, Jan-Ole, et al.
Published: (2025)
by: Koslik, Jan-Ole, 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)
Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models
by: Sidrow, Evan, et al.
Published: (2023)
by: Sidrow, Evan, et al.
Published: (2023)
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)
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)
Markov-switching State Space Models for Uncovering Musical Interpretation
by: McDonald, Daniel J., et al.
Published: (2019)
by: McDonald, Daniel J., et al.
Published: (2019)
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)
Hidden Markov models with an unknown number of states and a repulsive prior on the state parameters
by: Rotous, Ioannis, et al.
Published: (2024)
by: Rotous, Ioannis, et al.
Published: (2024)
Combining chains of Bayesian models with Markov melding
by: Manderson, Andrew A., et al.
Published: (2021)
by: Manderson, Andrew A., et al.
Published: (2021)
A continuous-time Markov chain framework for population size estimation from multi-list data: accounting for absorbing lists and asymmetric interactions
by: Schaller, Ophélie, et al.
Published: (2026)
by: Schaller, Ophélie, et al.
Published: (2026)
Hidden semi-Markov models with inhomogeneous state dwell-time distributions
by: Koslik, Jan-Ole
Published: (2024)
by: Koslik, Jan-Ole
Published: (2024)
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)
A regularized multi-state model for covariate selection with interval-censored survival data
by: Bercu, Ariane, et al.
Published: (2025)
by: Bercu, Ariane, et al.
Published: (2025)
An introduction to statistical models used to characterize species-habitat associations with animal movement data
by: Florko, Katie R. N., et al.
Published: (2024)
by: Florko, Katie R. N., et al.
Published: (2024)
Variable selection via fused sparse-group lasso penalized multi-state models incorporating molecular data
by: Miah, Kaya, et al.
Published: (2024)
by: Miah, Kaya, et al.
Published: (2024)
Partial membership models for soft clustering of multivariate football player performance data
by: Seri, Emiliano, et al.
Published: (2024)
by: Seri, Emiliano, et al.
Published: (2024)
Analysing kinematic data from recreational runners using functional data analysis
by: Gunning, Edward, et al.
Published: (2024)
by: Gunning, Edward, et al.
Published: (2024)
A switching state-space transmission model for tracking epidemics and assessing interventions
by: Feng, Jingxue, et al.
Published: (2023)
by: Feng, Jingxue, et al.
Published: (2023)
Gradient boosted multi-population mortality modelling with high-frequency data
by: Miao, Ziting, et al.
Published: (2025)
by: Miao, Ziting, et al.
Published: (2025)
Two-phase validation sampling via principal components to improve efficiency in multi-model estimation from error-prone biomedical databases
by: Lotspeich, Sarah C., et al.
Published: (2025)
by: Lotspeich, Sarah C., et al.
Published: (2025)
Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams
by: Morsomme, Raphael, et al.
Published: (2025)
by: Morsomme, Raphael, et al.
Published: (2025)
Differential item functioning via robust scaling
by: Halpin, Peter F.
Published: (2022)
by: Halpin, Peter F.
Published: (2022)
High-Dimensional Markov-switching Ordinary Differential Processes
by: Tsai, Katherine, et al.
Published: (2024)
by: Tsai, Katherine, et al.
Published: (2024)
Joining and splitting models with Markov melding
by: Goudie, Robert J. B., et al.
Published: (2016)
by: Goudie, Robert J. B., et al.
Published: (2016)
A latent variable model for identifying and characterizing food adulteration
by: Casa, Alessandro, et al.
Published: (2025)
by: Casa, Alessandro, et al.
Published: (2025)
Spatiotemporal factor models for functional data with application to population map forecast
by: Wakayama, Tomoya, et al.
Published: (2023)
by: Wakayama, Tomoya, et al.
Published: (2023)
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)
Autoregressive models for panel data causal inference with application to state-level opioid policies
by: Antonelli, Joseph, et al.
Published: (2024)
by: Antonelli, Joseph, et al.
Published: (2024)
Improving estimation for asymptotically independent bivariate extremes via global estimators for the angular dependence function
by: Murphy-Barltrop, C. J. R., et al.
Published: (2023)
by: Murphy-Barltrop, C. J. R., et al.
Published: (2023)
A flexible model for correlated count data, with application to multi-condition differential expression analyses of single-cell RNA sequencing data
by: Liu, Yusha, et al.
Published: (2022)
by: Liu, Yusha, et al.
Published: (2022)
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)
Learning associations of COVID-19 hospitalizations with wastewater viral signals by Markov modulated models
by: Peng, K. Ken, et al.
Published: (2024)
by: Peng, K. Ken, et al.
Published: (2024)
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)
Spatial-temporal prediction of forest attributes using latent Gaussian models and inventory data
by: May, Paul B., et al.
Published: (2025)
by: May, Paul B., et al.
Published: (2025)
Inference for bivariate extremes via a semi-parametric angular-radial model
by: Murphy-Barltrop, Callum John Rowlandson, et al.
Published: (2024)
by: Murphy-Barltrop, Callum John Rowlandson, 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)
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)
Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data
by: Ren, Benny, et al.
Published: (2024)
by: Ren, Benny, et al.
Published: (2024)
Joint modeling of wind speed and wind direction through a conditional approach
by: Murphy, Eva, et al.
Published: (2022)
by: Murphy, Eva, et al.
Published: (2022)
Similar Items
-
Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies
by: Sidrow, Evan, et al.
Published: (2024) -
Flexible unimodal density estimation in hidden Markov models
by: Koslik, Jan-Ole, 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) -
Variance-Reduced Stochastic Optimization for Efficient Inference of Hidden Markov Models
by: Sidrow, Evan, et al.
Published: (2023) -
Inference on the state process of periodically inhomogeneous hidden Markov models for animal behavior
by: Koslik, Jan-Ole, et al.
Published: (2023)