Cover Image

Mixed-Response State-Space Model for Analyzing Multi-Dimensional Digital Phenotypes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Tianchen, Chen, Yuan, Zeng, Donglin, Wang, Yuanjia
Format:	Preprint
Published:	2023
Subjects:	Applications Methodology 62
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fusing Individualized Treatment Rules Using Secondary Outcomes
by: Gao, Daiqi, et al.
Published: (2024)

HMM for Discovering Decision-Making Dynamics Using Reinforcement Learning Experiments
by: Guo, Xingche, et al.
Published: (2024)

Penalized Sparse Covariance Regression with High Dimensional Covariates
by: Gao, Yuan, et al.
Published: (2024)

Integrative learning of individualized treatment rules from multiple studies with partially overlapping treatments
by: Bian, Yuan, et al.
Published: (2026)

Incorporating Memory into Continuous-Time Spatial Capture-Recapture Models
by: Panchaud, Clara, et al.
Published: (2024)

An Interpretable Single-Index Mixed-Effects Model for Non-Gaussian National Survey Data
by: Liu, Qingyang, et al.
Published: (2025)

A Bayesian Bootstrap Approach for Dynamic Borrowing for Minimizing Mean Squared Error
by: Wang, Jixian, et al.
Published: (2024)

Bayesian Emulation of Grey-Box Multi-Model Ensembles Exploiting Known Interior Structure
by: Owen, Jonathan, et al.
Published: (2024)

Multivariate Low-Rank State-Space Model with SPDE Approach for High-Dimensional Data
by: Rodeschini, Jacopo, et al.
Published: (2025)

Robust Estimation under Linear Mixed Models: The Minimum Density Power Divergence Approach
by: Saraceno, Giovanni, et al.
Published: (2020)

Quantile Treatment Effects in High Dimensional Panel Data
by: Xu, Yihong, et al.
Published: (2025)

History matching for functional data and its application to tsunami warnings in the Indian Ocean
by: Kanai, Ryuichi, et al.
Published: (2025)

Large scale study of primary school student performance relative to their LMS activity and socioeconomic demographics using a Bayesian Additive Regression Trees containing random effects
by: da Silva, Natalia, et al.
Published: (2025)

Decomposition of Longitudinal Disparities: an Application to the Fetal Growth-Singletons Study
by: Lee, Sang Kyu, et al.
Published: (2024)

Clustering functional data with measurement errors: a simulation-based approach
by: Zhu, Tingyu, et al.
Published: (2024)

A Generalized Difference-in-Differences Estimator for Randomized Stepped-Wedge and Observational Staggered Adoption Settings
by: Kennedy-Shaffer, Lee
Published: (2024)

Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels
by: Cai, Zexi, et al.
Published: (2024)

Methods for non-proportional hazards in clinical trials: A systematic review
by: Bardo, Maximilian, et al.
Published: (2023)

A Novel Bayesian Extrapolation Design for Assessing Equivalence in Exposure-Response Curves between Pediatric and Adult Populations
by: Cai, Zhongheng, et al.
Published: (2025)

Orthogonalized Kernel Regression for Spatial and Spatio-Temporal Residual Risk: Application to School Shootings in the Contiguous United States
by: Davies, Tilman M., et al.
Published: (2026)

Reconstructing East Asian Temperatures from 1368 to 1911 Using Historical Documents, Climate Models, and Data Assimilation
by: Sun, Eric, et al.
Published: (2024)

Benchmarking multi-step methods for the dynamic prediction of survival with numerous longitudinal predictors
by: Signorelli, Mirko, et al.
Published: (2024)

Modelling volume-outcome relationships in health care
by: Gutzeit, Maurilio, et al.
Published: (2022)

Multivariate Functional Principal Component Analysis for Mixed-Type mHealth Data: An Application to Mood Disorders
by: Dey, Debangan, et al.
Published: (2026)

Modeling and forecasting subnational age distribution of death counts
by: Shang, Han Lin, et al.
Published: (2025)

Modelling handball outcomes using univariate and bivariate approaches
by: Karlis, Dimitris, et al.
Published: (2024)

Informed Asymmetric Dirichlet Priors for Multivariate Bernoulli Mixture Models
by: Ferrari, Luisa, et al.
Published: (2026)

Causal Modelling of Heavy-Tailed Variables and Confounders with Application to River Flow
by: Pasche, Olivier C., et al.
Published: (2021)

Analyzing directional errors in spatial orientation using nonparametric circular regression with mixed covariates
by: Francisco-Fernández, Mario, et al.
Published: (2026)

Spatial Functional Deep Neural Network Model: A New Prediction Algorithm
by: Basaran, Merve, et al.
Published: (2025)

Stock Return Prediction based on a Functional Capital Asset Pricing Model
by: Beyaztas, Ufuk, et al.
Published: (2025)

Spatial Capture-Recapture With Penalized Regression Splines to Flexibly Model Wildlife Density and Distribution
by: Seaton, Andrew E., et al.
Published: (2026)

Large Wave Direction Data Modeling Using Wrapped Spatial Gaussian Markov Random Fields
by: Hazra, Arnab
Published: (2026)

Is the age pension in Australia sustainable and fair? Evidence from forecasting the old-age dependency ratio using the Hamilton-Perry model
by: Chen, Sizhe, et al.
Published: (2024)

Inference for multiple change-points in generalized integer-valued autoregressive model
by: Sheng, Danshu, et al.
Published: (2024)

Estimating Causal Attribution of Anthropogenic Forcing on High-Temperature Extremes Using a Latent Gaussian Spatial Model
by: Giri, Ritik Roshan, et al.
Published: (2026)

Spatial Dependencies in Item Response Theory: Gaussian Process Priors for Geographic and Cognitive Measurement
by: Huang, Mingya, et al.
Published: (2025)

Modelling clusters in network time series with an application to presidential elections in the USA
by: Nason, Guy, et al.
Published: (2024)

Lasso regularization for mixture experiments with noise variables
by: González-Navarrete, Manuel, et al.
Published: (2024)

Beyond the Trade-off Curve: Multivariate and Advanced Risk-Utility Maps for Evaluating Anonymized and Synthetic Data
by: Thees, Oscar, et al.
Published: (2025)