Cover Image

Causal estimands and identification of time-varying effects in non-stationary time series from N-of-1 mobile device data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cai, Xiaoxuan, Zeng, Li, Fowler, Charlotte, Dixon, Lisa, Ongur, Dost, Baker, Justin T., Onnela, Jukka-Pekka, Valeri, Linda
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Missing data in non-stationary multivariate time series from digital studies in Psychiatry
by: Cai, Xiaoxuan, et al.
Published: (2025)

Testing unit root non-stationarity in the presence of missing data in univariate time series of mobile health studies
by: Fowler, Charlotte, et al.
Published: (2022)

Individual causal effect estimation accounting for latent disease state modification among bipolar participants in mobile health studies
by: Fowler, Charlotte R., et al.
Published: (2025)

Bayesian Inference for Sexual Contact Networks Using Longitudinal Survey Data
by: Hoffmann, Till, et al.
Published: (2025)

Unifying Summary Statistic Selection for Approximate Bayesian Computation
by: Hoffmann, Till, et al.
Published: (2022)

Scalable Gaussian Process Inference with Stan
by: Hoffmann, Till, et al.
Published: (2023)

Information is localized in growing network models
by: Hoffmann, Till, et al.
Published: (2025)

Connecting Mass-action Models and Network Models for Infectious Diseases
by: Le, Thien-Minh, et al.
Published: (2024)

Modeling the 2022 Mpox Outbreak with a Mechanistic Network Model
by: Crenshaw, Emma G., et al.
Published: (2025)

Accounting for contact network uncertainty in epidemic inferences
by: Wang, Maxwell H., et al.
Published: (2024)

Network Layout Algorithm with Covariate Smoothing
by: Smiley, Octavious, et al.
Published: (2024)

Approximate Inference for Longitudinal Mechanistic HIV Contact Networks
by: Smiley, Octavious, et al.
Published: (2024)

Covariate Selection for Joint Latent Space Modeling of Sparse Network Data
by: Crenshaw, Emma G, et al.
Published: (2026)

A Generalized Estimating Equation Approach to Network Regression
by: Ghosh, Riddhi Pratim, et al.
Published: (2023)

Approximate Bayesian Inference on Mechanisms of Network Growth and Evolution
by: Wang, Maxwell H, et al.
Published: (2025)

Temporal Configuration Model: Statistical Inference and Spreading Processes
by: Le, Thien-Minh, et al.
Published: (2024)

Identification and Estimation of Heterogeneous Interference Effects under Unknown Network
by: Zhang, Yuhua, et al.
Published: (2025)

Community Detection through Recursive Partitioning in Bayesian Framework
by: Zhang, Yuhua, et al.
Published: (2025)

Screening for Diabetes Mellitus in the U.S. Population Using Neural Network Models and Complex Survey Designs
by: Matabuena, Marcos, et al.
Published: (2024)

Causal inference and racial bias in policing: New estimands and the importance of mobility data
by: Huang, Zhuochao, et al.
Published: (2024)

Nonparametric Additive Value Functions: Interpretable Reinforcement Learning with an Application to Surgical Recovery
by: Emedom-Nnamdi, Patrick, et al.
Published: (2023)

A Bayesian method for identification of stock mixtures from molecular marker data
by: Corrander, Jukka, et al.
Published: (2006)

When do common time series estimands have nonparametric causal meaning?
by: Rambachan, Ashesh, et al.
Published: (2019)

Conditional Mean and Variance Estimation via \textit{k}-NN Algorithm with Automated Variance Selection
by: Matabuena, Marcos, et al.
Published: (2024)

Describe Where You Are: Improving Noise-Robustness for Speech Emotion Recognition with Text Description of the Environment
by: Leem, Seong-Gyun, et al.
Published: (2024)

Model-Free Kernel Conformal Depth Measures Algorithm for Uncertainty Quantification in Regression Models in Separable Hilbert Spaces
by: Matabuena, Marcos, et al.
Published: (2025)

CCMnet: A Software Package for Network Generation with Congruence Class Models
by: Goyal, Ravi, et al.
Published: (2026)

Conformal uncertainty quantification using kernel depth measures in separable Hilbert spaces
by: Matabuena, Marcos, et al.
Published: (2024)

Sparse space-time resolvent analysis for statistically-stationary and time-varying flows
by: Lopez-Doriga, Barbara, et al.
Published: (2024)

Inference with weights: Residualization produces short, valid intervals for varying estimands and varying resampling processes
by: Hartman, Erin, et al.
Published: (2025)

Inference for non-stationary time series quantile regression with inequality constraints
by: Sun, Yuan, et al.
Published: (2024)

A log-linear model for non-stationary time series of counts
by: Leucht, Anne, et al.
Published: (2023)

Computationally efficient segmentation for non-stationary time series with oscillatory patterns
by: Bianco, Nicolas, et al.
Published: (2026)

The purpose of an estimator is what it does: Misspecification, estimands, and over-identification
by: Andrews, Isaiah, et al.
Published: (2025)

Spread of pathogens in the patient transfer network of US hospitals
by: Gracia, Juan Fernández, et al.
Published: (2015)

Bootstrapping non‐stationary and irregular time series using singular spectral analysis
by: Don S. Poskitt
Published: (2024)

Granger revisited: t values and the empirical OLS bias with stationary and non-stationary time series using Monte Carlo simulations
by: Carlos Guerrero-de-Lizardi
Published: (2020)

Macroscopic QED and noise currents in time-varying media
by: Horsley, S. A. R., et al.
Published: (2024)

Measurement Error-Robust Causal Inference via Constructed Instrumental Variables
by: Miles, Caleb H., et al.
Published: (2024)

Detecting relevant deviations from the white noise assumption for non-stationary time series
by: Bastian, Patrick
Published: (2024)