Cover Image

A statistical framework for analyzing activity pattern from GPS data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Haoyang, Chen, Yen-Chi, Dobra, Adrian
Format:	Preprint
Published:	2025
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Estimation of Contextual Exposure to HIV from GPS Data
by: Wu, Haoyang, et al.
Published: (2025)

An Object-Oriented Spatial Statistics Approach for Human Activity Space Estimation
by: Wu, Haoyang, et al.
Published: (2026)

A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
by: Bo, Na, et al.
Published: (2024)

Modeling Missing at Random Neuropsychological Test Scores Using a Mixture of Binomial Product Experts
by: Suen, Daniel, et al.
Published: (2023)

Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
by: Retegui, Garazi, et al.
Published: (2024)

A statistical framework for dynamic cognitive diagnosis in digital learning environments
by: Ma, Yawen, et al.
Published: (2025)

A spatio-temporal statistical framework for heatwave attribution under climate change
by: Gasser, Kamal, et al.
Published: (2026)

A framework for statistical modelling of the extremes of longitudinal data, applied to elite swimming
by: Spearing, Jess, et al.
Published: (2023)

A statistical framework for comparing epidemic forests
by: Geismar, Cyril, et al.
Published: (2025)

Streamlining business functions in official statistical production with Machine Learning
by: Barragán, Sandra, et al.
Published: (2025)

A nonparametric statistical method for deconvolving densities in the analysis of proteomic data
by: Anarat, Akin, et al.
Published: (2025)

Estimation of finite population proportions for small areas -- a statistical data integration approach
by: Sen, Aditi, et al.
Published: (2023)

A non-parametric U-statistic testing approach for multi-arm clinical trials with multivariate longitudinal data
by: Ghosh, Dhrubajyoti, et al.
Published: (2024)

Derivation of outcome-dependent dietary patterns for low-income women obtained from survey data using a Supervised Weighted Overfitted Latent Class Analysis
by: Wu, Stephanie M., et al.
Published: (2023)

A Bayesian hierarchical framework for fusion of remote sensing data: An example with solar-induced fluorescence
by: Johny, Manju, et al.
Published: (2025)

A robust statistical framework for cyber-vulnerability prioritisation under partial information in threat intelligence
by: Angelelli, Mario, et al.
Published: (2023)

Comparison of methods for analyzing environmental mixtures effects on survival outcomes and application to a population-based cohort study
by: Mayer, Melanie N., et al.
Published: (2023)

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)

Recovering Unobserved Network Links from Aggregated Relational Data: Discussions on Bayesian Latent Surface Modeling and Penalized Regression
by: Tseng, Yen-hsuan
Published: (2025)

Modeling Human Spatial Mobility Patterns with the Lévy Flight Cluster Model
by: Wolff, Malcolm, et al.
Published: (2025)

Alternative statistical inference for the first normalized incomplete moment
by: Lu, Jiannan, et al.
Published: (2025)

Generalized logistic model for $r$ largest order statistics, with hydrological application
by: Shin, Yire, et al.
Published: (2024)

A longitudinal Bayesian framework for estimating causal dose-response relationships
by: Luo, Yu, et al.
Published: (2025)

A unified quantile framework for nonlinear heterogeneous transcriptome-wide associations
by: Wang, Tianying, et al.
Published: (2022)

A mixed effects cosinor modelling framework for circadian gene expression
by: Gorczyca, Michael T.
Published: (2024)

A lightweight framework for characterising extreme precipitation events in climate ensembles
by: Healy, Dáire, et al.
Published: (2026)

On the Temporal-spatial Analysis of Estimating Urban Traffic Patterns Via GPS Trace Data of Car-hailing Vehicles
by: Mao, Jiannan, et al.
Published: (2023)

Semiparametric quantile functional regression analysis of adolescent physical activity distributions in the presence of missing data
by: Ren, Benny, et al.
Published: (2024)

Pulling back the curtain: the road from statistical estimand to machine-learning based estimator for epidemiologists (no wizard required)
by: Renson, Audrey, et al.
Published: (2025)

The landscapemetrics and motif packages for measuring landscape patterns and processes
by: Nowosad, Jakub, et al.
Published: (2024)

Estimating effect thresholds and beyond: A flexible framework for multivariate alert detection
by: Ameis, Lucia, et al.
Published: (2026)

crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding
by: Liu, Richard, et al.
Published: (2026)

A Dirichlet-Multinomial-Poisson framework for the coherent analysis and forecast of cause-specific mortality
by: Nigri, Andrea, et al.
Published: (2026)

Exploring climate change effects on concurrent floods and concurrent droughts via statistical deep learning
by: Murphy-Barltrop, C. J. R., et al.
Published: (2026)

Modeling climate extremes using the four-parameter kappa distribution for $r$-largest order statistics
by: Shin, Yire, et al.
Published: (2020)

A new statistical approach for joint modeling of longitudinal outcomes measured in electronic health records with clinically informative presence and observation processes
by: Du, Jiacong, et al.
Published: (2024)

"6 choose 4": A framework to understand and facilitate discussion of strategies for overall survival safety monitoring
by: Yung, Godwin, et al.
Published: (2024)

A Bayesian modelling framework for health care resource use and costs in trial-based economic evaluations
by: Gabrio, Andrea
Published: (2024)

Representative dietary behavior patterns and associations with cardiometabolic outcomes in Puerto Rico using a Bayesian latent class analysis for non-probability samples
by: Wu, Stephanie M., et al.
Published: (2025)

Quantifying uncertainty in spikes estimated from calcium imaging data
by: Chen, Yiqun T., et al.
Published: (2021)