Cover Image

Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Loewinger, Gabriel, Levis, Alexander W., Pereira, Francisco
Format:	Preprint
Published:	2024
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)

Incorporating nonparametric methods for estimating causal excursion effects in mobile health with zero-inflated count outcomes
by: Liu, Xueqing, et al.
Published: (2023)

Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)

Spatiotemporal causal inference with arbitrary spillover and carryover effects: Airstrikes and insurgent violence in the Iraq War
by: Mukaigawara, Mitsuru, et al.
Published: (2025)

Connections as treatment: causal inference with edge interventions in networks
by: Chen, Shuli, et al.
Published: (2026)

Fast Penalized Generalized Estimating Equations for Large Longitudinal Functional Datasets
by: Loewinger, Gabriel, et al.
Published: (2025)

Multi-objective Bayesian optimization for Likelihood-Free inference in sequential sampling models of decision making
by: Chen, David, et al.
Published: (2024)

Bayesian nonparametric mixtures of categorical directed graphs for heterogeneous causal inference
by: Castelletti, Federico, et al.
Published: (2024)

Combining observational and experimental data for causal inference considering data privacy
by: Mann, Charlotte Z., et al.
Published: (2023)

Nonparametric identification and efficient estimation of causal effects with instrumental variables
by: Levis, Alexander W., et al.
Published: (2024)

Autoregressive models for panel data causal inference with application to state-level opioid policies
by: Antonelli, Joseph, et al.
Published: (2024)

Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variables
by: Park, Kwangmoon, et al.
Published: (2026)

Do-search -- a tool for causal inference and study design with multiple data sources
by: Karvanen, Juha, et al.
Published: (2020)

Practical considerations for Gaussian Process modeling for causal inference quasi-experimental studies with panel data
by: Vega, Sofia L., et al.
Published: (2025)

A primer on inference and prediction with epidemic renewal models and sequential Monte Carlo
by: Steyn, Nicholas, et al.
Published: (2025)

Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
by: Williams, Nicholas, et al.
Published: (2025)

Nonparametric Monitoring of Spatial Dependence
by: Adämmer, Philipp, et al.
Published: (2024)

Selective randomization inference for subgroup effects with continuous biomarkers
by: Gao, Zijun
Published: (2025)

Leveraging text data for causal inference using electronic health records
by: Mozer, Reagan, et al.
Published: (2023)

A Nonparametric and Functional Wombling Methodology
by: Barratt, Luke A., et al.
Published: (2025)

Evaluating causal effects on time-to-event outcomes in an RCT in Oncology with treatment discontinuation
by: Ballerini, Veronica, et al.
Published: (2023)

Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
by: Aurensanz-Crespo, Adrián, et al.
Published: (2026)

Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
by: Ma, Chenchen, et al.
Published: (2020)

Stochastic Nonparametric Estimation of the Density-Flow Curve
by: Kriuchkov, Iaroslav, et al.
Published: (2023)

Optimal scheduling of interim analyses in group sequential trials
by: He, Zhangyi, et al.
Published: (2025)

Bayesian sequential analysis of adverse events with binary data
by: Wang, Jiayue, et al.
Published: (2025)

Handling missing data when estimating causal effects with Targeted Maximum Likelihood Estimation
by: Dashti, S. Ghazaleh, et al.
Published: (2021)

Nonparametric estimation of the Patient Weighted While-Alive Estimand
by: Ragni, Alessandra, et al.
Published: (2024)

Robust Causal Inference for EHR-based Studies of Point Exposures with Missingness in Eligibility Criteria
by: Benz, Luke, et al.
Published: (2025)

Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)

Cheap Subsampling bootstrap confidence intervals for fast and robust inference
by: Ohlendorff, Johan Sebastian, et al.
Published: (2025)

The role of randomization inference in unraveling individual treatment effects in early phase vaccine trials
by: Chen, Zhe, et al.
Published: (2023)

Nonparametric Bayes multiresolution testing for high-dimensional rare events
by: Datta, Jyotishka, et al.
Published: (2023)

Nonparametric Estimation and Comparison of Distance Distributions from Censored Data
by: McCabe, Lucas H.
Published: (2023)

Extension of Dynamic Network Biomarker using the propensity score method: Simulation of causal effects on variance and correlation coefficient
by: Shinoda, Satoru, et al.
Published: (2025)

Bayesian Nonparametric Risk Assessment in Developmental Toxicity Studies with Ordinal Responses
by: Kang, Jizhou, et al.
Published: (2024)

Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
by: Mignemi, Giuseppe, et al.
Published: (2024)

Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
by: Yuan, Shijie, et al.
Published: (2025)

A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
by: Hu, Jie Kate, et al.
Published: (2023)

Gaussian random field's anisotropy using excursion sets
by: Azaïs, Jean-Marc, et al.
Published: (2025)