Rahul Singh

Discipline

Economies et finances (15) Méthodes et statistiques (5) Gestion et management (1)

Type de document

Textes imprimés (15) Articles (1)

Co-auteur

Date

Source

Mot-clé

statistiques (15) science économique (15) Statistics (15) Statistics (15) Machine learning (15) Economics (15) Econometrics (15) Statistics (15) Computer science (13) informatique (13) Mathematics (12) Mathematics (12) Treatment (11) Rates (8) Rates (8) Inference (7) Convergence (6) dose (5) Methods (5) Learning (5) Functions (5) Example (5) Methods (5) Knowledge and learning (5) Use (5) modèle (4) analyse (4) effet (4) taux (4) Specimens (4)

Documents écrit par Rahul Singh (16) | parle de Rahul Singh (0)

Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals
Victor Chernozhukov et al. (25 mars 2022)
Generalized Kernel Ridge Regression for Long Term Causal Inference: Treatment Effects, Dose Responses, and Counterfactual Distributions
Rahul Singh (13 janv. 2022)
Nested Nonparametric Instrumental Variable Regression: Long Term, Mediated, and Time Varying Treatment Effects
Isaac Meza et al. (28 déc. 2021)
Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection
Rahul Singh (9 nov. 2021)
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Rahul Singh et al. (6 nov. 2021)
Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy
Anish Agarwal et al. (6 juil. 2021)
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees
Victor Chernozhukov et al. (31 mai 2021)
Kernel Ridge Riesz Representers: Generalization, Mis-specification, and the Counterfactual Effective Dimension
Rahul Singh (22 févr. 2021)
Adversarial Estimation of Riesz Representers
Victor Chernozhukov et al. (30 déc. 2020)
Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments
Rahul Singh (18 déc. 2020)
Kernel Methods for Causal Functions: Dose, Heterogeneous, and Incremental Response Curves
Rahul Singh et al. (9 oct. 2020)
Double Robustness for Complier Parameters and a Semiparametric Test for Complier Characteristics
Rahul Singh et al. (10 sept. 2019)
Kernel Instrumental Variable Regression
Rahul Singh et al. (1 juin 2019)
Automatic Debiased Machine Learning of Causal and Structural Effects
Victor Chernozhukov et al. (13 sept. 2018)
De-Biased Machine Learning of Global and Local Parameters Using Regularized Riesz Representers
Victor Chernozhukov et al. (23 févr. 2018)
Social media marketing efforts of luxury brands : Influence on brand equity and consumer behavior
Bruno Godey et al. (1 déc. 2016)