Geodesic Synthetic Control Methods for Random Objects and Functional Data
Fuente:
arXiv
Saved in:
| Main Authors: | Kurisu, Daisuke, Zhou, Yidong, Otsu, Taisuke, Müller, Hans-Georg |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Regression Discontinuity Designs for Functional Data and Random Objects in Geodesic Spaces
by: Kurisu, Daisuke, et al.
Published: (2025)
by: Kurisu, Daisuke, et al.
Published: (2025)
Geodesic Difference-in-Differences
by: Zhou, Yidong, et al.
Published: (2025)
by: Zhou, Yidong, et al.
Published: (2025)
Forecasting Age Distribution of Deaths: Cumulative Distribution Function Transformation
by: Shang, Han Lin, et al.
Published: (2024)
by: Shang, Han Lin, et al.
Published: (2024)
gcor: A Python Implementation of Categorical Gini Correlation and Its Inference
by: Hewage, Sameera
Published: (2025)
by: Hewage, Sameera
Published: (2025)
Estimating Treatment Effects with Missings Not At Random in the Estimand Framework using Causal Inference
by: de Villa, A. Ruiz, et al.
Published: (2025)
by: de Villa, A. Ruiz, et al.
Published: (2025)
Varying-Coefficient Fréchet Regression
by: Wang, Yanzhao, et al.
Published: (2025)
by: Wang, Yanzhao, et al.
Published: (2025)
A Time-Varying and Covariate-Dependent Correlation Model for Multivariate Longitudinal Studies
by: Liu, Qingzhi, et al.
Published: (2026)
by: Liu, Qingzhi, et al.
Published: (2026)
A Robust Persistent Homology : Trimming Approach
by: Mahato, Tuhin Subhra, et al.
Published: (2025)
by: Mahato, Tuhin Subhra, et al.
Published: (2025)
Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles
by: Drton, Mathias, et al.
Published: (2025)
by: Drton, Mathias, et al.
Published: (2025)
Bootstrap prediction intervals for the age distribution of life-table death counts
by: Shang, Han Lin
Published: (2025)
by: Shang, Han Lin
Published: (2025)
Forecasting high-dimensional functional time series: Application to sub-national age-specific mortality
by: Jiménez-Varón, Cristian F., et al.
Published: (2023)
by: Jiménez-Varón, Cristian F., et al.
Published: (2023)
Statistical exploration of the Manifold Hypothesis
by: Whiteley, Nick, et al.
Published: (2022)
by: Whiteley, Nick, et al.
Published: (2022)
Out-of-bag prediction balls for random forests in metric spaces
by: Serrano, Diego, et al.
Published: (2025)
by: Serrano, Diego, et al.
Published: (2025)
Binary Regression and Classification with Covariates in Metric Spaces
by: Lin, Yinan, et al.
Published: (2023)
by: Lin, Yinan, et al.
Published: (2023)
Estimation beyond Missing (Completely) at Random
by: Ma, Tianyi, et al.
Published: (2024)
by: Ma, Tianyi, et al.
Published: (2024)
Covariate balancing estimation and model selection for difference-in-differences approach
by: Baba, Takamichi, et al.
Published: (2025)
by: Baba, Takamichi, et al.
Published: (2025)
Evaluating Surrogates in Individualized Treatment Rules
by: Xu, Zeyu, et al.
Published: (2025)
by: Xu, Zeyu, et al.
Published: (2025)
Adding covariates to bounds: What is the question?
by: Jonzon, Gustav, et al.
Published: (2025)
by: Jonzon, Gustav, et al.
Published: (2025)
A multistate approach for mediation analysis in the presence of semi-competing risks with application in cancer survival disparities
by: Valeri, Linda, et al.
Published: (2021)
by: Valeri, Linda, et al.
Published: (2021)
Estimator-Aligned Prospective Sample Size Determination for Designs Using Inverse Probability of Treatment Weighting
by: Hong, Taekwon, et al.
Published: (2026)
by: Hong, Taekwon, et al.
Published: (2026)
Single World Intervention Graphs as Distributions: A Framework for Causal Identification
by: Bartels, Christian
Published: (2026)
by: Bartels, Christian
Published: (2026)
TERRA: A Transformer-Enabled Recursive R-learner for Longitudinal Heterogeneous Treatment Effect Estimation
by: Shi, Lei, et al.
Published: (2025)
by: Shi, Lei, et al.
Published: (2025)
Invariant quantile regression for heterogeneous environments
by: Fu, Bo, et al.
Published: (2026)
by: Fu, Bo, et al.
Published: (2026)
Recovery and inference of causal effects with sequential adjustment for confounding and attrition
by: de Aguas, Johan, et al.
Published: (2024)
by: de Aguas, Johan, et al.
Published: (2024)
Representation of Context-Specific Causal Models with Observational and Interventional Data
by: Duarte, Eliana, et al.
Published: (2021)
by: Duarte, Eliana, et al.
Published: (2021)
Estimating Causal Effects with Observational Data: Guidelines for Agricultural and Applied Economists
by: Henningsen, Arne, et al.
Published: (2025)
by: Henningsen, Arne, et al.
Published: (2025)
Valid causal inference with unobserved confounding in high-dimensional settings
by: Moosavi, Niloofar, et al.
Published: (2024)
by: Moosavi, Niloofar, et al.
Published: (2024)
A sensitivity analysis for non-inferiority studies with non-randomised data
by: Kabata, Daijiro, et al.
Published: (2025)
by: Kabata, Daijiro, et al.
Published: (2025)
Identifying Interventional Joint Distributions via Extended Bridge Functions
by: Schott, Constantin
Published: (2026)
by: Schott, Constantin
Published: (2026)
Local Fréchet regression with toroidal predictors
by: Im, Chang Jun, et al.
Published: (2026)
by: Im, Chang Jun, et al.
Published: (2026)
Statistical Inference for Bures-Wasserstein Flows
by: Santoro, Leonardo V., et al.
Published: (2023)
by: Santoro, Leonardo V., et al.
Published: (2023)
Which Covariates to Adjust for? Specification-robust Causal Inference in Observational Studies
by: Ghosh, Aditya, et al.
Published: (2025)
by: Ghosh, Aditya, et al.
Published: (2025)
On the Testing of complete causal mediation and its applications
by: Tsai, Yichin, et al.
Published: (2025)
by: Tsai, Yichin, et al.
Published: (2025)
Latent variation in pathogen strain-specific effects under multiple-versions-of-treatment theory
by: Gonçalves, Bronner P.
Published: (2026)
by: Gonçalves, Bronner P.
Published: (2026)
Simultaneous Graphical Dynamic Modeling
by: West, Mike, et al.
Published: (2024)
by: West, Mike, et al.
Published: (2024)
L-Estimation Approach to Tobit Models with Endogeneity and Weakly Dependent Errors
by: Shukla, Swati, et al.
Published: (2024)
by: Shukla, Swati, et al.
Published: (2024)
Identifying arbitrary transformation between the slopes in scalar-on-function regression
by: Niyogi, Pratim Guha, et al.
Published: (2024)
by: Niyogi, Pratim Guha, et al.
Published: (2024)
Causal inference amid missingness-specific independencies and mechanism shifts
by: de Aguas, Johan, et al.
Published: (2025)
by: de Aguas, Johan, et al.
Published: (2025)
Personalised Decision-Making without Counterfactuals
by: Dawid, A. Philip, et al.
Published: (2023)
by: Dawid, A. Philip, et al.
Published: (2023)
Dual Likelihood for Causal Inference under Structure Uncertainty
by: Strieder, David, et al.
Published: (2024)
by: Strieder, David, et al.
Published: (2024)
Similar Items
-
Regression Discontinuity Designs for Functional Data and Random Objects in Geodesic Spaces
by: Kurisu, Daisuke, et al.
Published: (2025) -
Geodesic Difference-in-Differences
by: Zhou, Yidong, et al.
Published: (2025) -
Forecasting Age Distribution of Deaths: Cumulative Distribution Function Transformation
by: Shang, Han Lin, et al.
Published: (2024) -
gcor: A Python Implementation of Categorical Gini Correlation and Its Inference
by: Hewage, Sameera
Published: (2025) -
Estimating Treatment Effects with Missings Not At Random in the Estimand Framework using Causal Inference
by: de Villa, A. Ruiz, et al.
Published: (2025)