Martin Spindler

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Economies et finances (25) Méthodes et statistiques (4)

Type de document

Textes imprimés (25)

Co-auteur

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Mot-clé

science économique (25) Economics (25) statistiques (23) Statistics (23) Statistics (23) Econometrics (23) Statistics (23) Machine learning (22) Methods (18) Methods (18) Models (14) Paper (13) Inference (13) Example (13) papier (12) modèle (12) méthodologie (12) Methodology (12) Methodology (12) simulation (10) Computer science (10) informatique (10) Lasso (9) abords (agglomération) (8) Treatment (8) puits (7) spectacle (7) intérêts (7) analyse (7) effet (7)

Documents écrit par Martin Spindler (25) | parle de Martin Spindler (0)

Credit Ratings: Heterogeneous Effect on Capital Structure
Helmut Wasserbacher et al. (27 juin 2024)
Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?
Philipp Schwarz et al. (17 juin 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)
Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls
Helmut Wasserbacher et al. (10 juil. 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)
Big Data meets Causal Survey Research: Understanding Nonresponse in the Recruitment of a Mixed-mode Online Panel
Barbara Felderer et al. (17 févr. 2021)
Insights from Optimal Pandemic Shielding in a Multi-Group SEIR Framework
Philipp Bach et al. (2 nov. 2020)
Estimation and Uniform Inference in Sparse High-Dimensional Additive Models
Philipp Bach et al. (3 avr. 2020)
Causal mediation analysis with double machine learning
Helmut Farbmacher et al. (28 févr. 2020)
Adaptive Discrete Smoothing for High-Dimensional and Nonlinear Panel Data
Xi Chen et al. (30 déc. 2019)
Closing the U.S. gender wage gap requires understanding its heterogeneity
Philipp Bach et al. (11 déc. 2018)
Valid Simultaneous Inference in High-Dimensional Settings (with the hdm package for R)
Philipp Bach et al. (13 sept. 2018)
A Self-Attention Network for Hierarchical Data Structures with an Application to Claims Management
Leander Löw et al. (30 août 2018)
Uniform Inference in High-Dimensional Gaussian Graphical Models
Sven Klaassen et al. (30 août 2018)
Estimation and Inference of Treatment Effects with $L_2$-Boosting in High-Dimensional Settings
Jannis Kueck et al. (31 déc. 2017)
Transformation Models in High-Dimensions
Sven Klaassen et al. (20 déc. 2017)
$L_2$Boosting for Economic Applications
Ye Luo et al. (10 févr. 2017)
hdm: High-Dimensional Metrics
Victor Chernozhukov et al. (1 août 2016)
High-Dimensional Metrics in R
Victor Chernozhukov et al. (5 mars 2016)
High-Dimensional $L_2$Boosting: Rate of Convergence
Ye Luo et al. (29 févr. 2016)
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach
Victor Chernozhukov et al. (14 janv. 2015)
Post-Selection and Post-Regularization Inference in Linear Models with Many Controls and Instruments
Victor Chernozhukov et al. (13 janv. 2015)