Victor Chernozhukov

Discipline

Economies et finances (111) Méthodes et statistiques (3)

Type de document

Textes imprimés (92) Articles (14) Prépublication (6)

Co-auteur

Date

Source

Mot-clé

science économique (94) Economics (94) Statistics (91) Econometrics (88) statistiques (86) Statistics (86) Statistics (86) Methods (58) Methods (58) Example (56) Models (54) méthodologie (51) Methodology (51) Methodology (51) Inference (51) Paper (49) papier (48) modèle (44) Mathematics (35) Mathematics (35) spectacle (34) distribution (34) intérêts (31) méthode (31) Interest (31) Treatment (28) Case (28) Machine learning (28) Grammar, Comparative and general--Case (28) Functions (28)

Documents écrit par Victor Chernozhukov (112) | parle de Victor Chernozhukov (0)

Estimating Causal Effects of Discrete and Continuous Treatments with Binary Instruments
Victor Chernozhukov et al. (9 mars 2024)
Applied Causal Inference Powered by ML and AI
Victor Chernozhukov et al. (4 mars 2024)
Hyperparameter Tuning for Causal Inference with Double Machine Learning: A Simulation Study
Philipp Bach et al. (7 févr. 2024)
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data
Sven Klaassen et al. (1 févr. 2024)
Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models
Victor Chernozhukov et al. (1 févr. 2024)
Hedonic Prices and Quality Adjusted Price Indices Powered by AI
Patrick Bajari et al. (28 avr. 2023)
An MCMC Approach to Classical Estimation
Victor Chernozhukov et al. (18 janv. 2023)
High-dimensional Data Bootstrap
Victor Chernozhukov et al. (19 mai 2022)
Automatic Debiased Machine Learning for Dynamic Treatment Effects and General Nested Functionals
Victor Chernozhukov et al. (25 mars 2022)
Correction to: Vector Quantile Regression and Optimal Transport, from Theory to Numerics
Guillaume Carlier et al.
Correction to: Vector Quantile Regression and Optimal Transport, from Theory to Numerics
Guillaume Carlier et al.
Long Story Short: Omitted Variable Bias in Causal Machine Learning
Victor Chernozhukov et al. (26 déc. 2021)
A Response to Philippe Lemoine's Critique on our Paper "Causal Impact of Masks, Policies, Behavior on Early Covid-19 Pandemic in the U.S."
Victor Chernozhukov et al. (10 oct. 2021)
RieszNet and ForestRiesz: Automatic Debiased Machine Learning with Neural Nets and Random Forests
Victor Chernozhukov et al. (6 oct. 2021)
Inference for Low-Rank Models
Victor Chernozhukov et al. (6 juil. 2021)
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees
Victor Chernozhukov et al. (31 mai 2021)
Uniform Inference on High-dimensional Spatial Panel Networks
Victor Chernozhukov et al. (16 mai 2021)
Automatic Debiased Machine Learning via Riesz Regression
Victor Chernozhukov et al. (29 avr. 2021)
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python
Philipp Bach et al. (7 avr. 2021)
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R
Philipp Bach et al. (17 mars 2021)
Identification of Hedonic Equilibrium and Nonseparable Simultaneous Equations
Victor Chernozhukov et al. (1 mars 2021)
Vector quantile regression and optimal transport, from theory to numerics
Guillaume Carlier et al. (25 févr. 2021)
The Association of Opening K-12 Schools with the Spread of COVID-19 in the United States: County-Level Panel Data Analysis
Victor Chernozhukov et al. (20 févr. 2021)
Adversarial Estimation of Riesz Representers
Victor Chernozhukov et al. (30 déc. 2020)
Insights from Optimal Pandemic Shielding in a Multi-Group SEIR Framework
Philipp Bach et al. (2 nov. 2020)

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