Saved in:
| Main Author: | Fallahgoul, Hasan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.15753 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
High-Dimensional Learning in Finance
by: Fallahgoul, Hasan
Published: (2025)
by: Fallahgoul, Hasan
Published: (2025)
Bayesian Neural Networks for Macroeconomic Analysis
by: Hauzenberger, Niko, et al.
Published: (2022)
by: Hauzenberger, Niko, et al.
Published: (2022)
Collusion Detection with Graph Neural Networks
by: Gomes, Lucas, et al.
Published: (2024)
by: Gomes, Lucas, et al.
Published: (2024)
From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks
by: Coulombe, Philippe Goulet, et al.
Published: (2023)
by: Coulombe, Philippe Goulet, et al.
Published: (2023)
Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks
by: Hirata, Tomu, et al.
Published: (2025)
by: Hirata, Tomu, et al.
Published: (2025)
New Approximation Results and Optimal Estimation for Fully Connected Deep Neural Networks
by: Tang, Zhaoji
Published: (2025)
by: Tang, Zhaoji
Published: (2025)
Inference in Partially Linear Models under Dependent Data with Deep Neural Networks
by: Brown, Chad
Published: (2024)
by: Brown, Chad
Published: (2024)
Designing Graph Convolutional Neural Networks for Discrete Choice with Network Effects
by: Villarraga, Daniel F., et al.
Published: (2025)
by: Villarraga, Daniel F., et al.
Published: (2025)
Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks
by: Huch, Easton, et al.
Published: (2026)
by: Huch, Easton, et al.
Published: (2026)
Testing Full Mediation of Treatment Effects and the Identifiability of Causal Mechanisms
by: Huber, Martin, et al.
Published: (2026)
by: Huber, Martin, et al.
Published: (2026)
Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach
by: Zhan, Ruohan, et al.
Published: (2024)
by: Zhan, Ruohan, et al.
Published: (2024)
Testing Effect Homogeneity and Confounding in High-Dimensional Experimental and Observational Studies
by: Armendariz, Ana, et al.
Published: (2026)
by: Armendariz, Ana, et al.
Published: (2026)
Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries
by: Bursa, Nurbanu
Published: (2025)
by: Bursa, Nurbanu
Published: (2025)
Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach
by: Carlson, Jacob
Published: (2025)
by: Carlson, Jacob
Published: (2025)
LGB+: A Macroeconomic Forecasting Road Test
by: Coulombe, Philippe Goulet
Published: (2026)
by: Coulombe, Philippe Goulet
Published: (2026)
Inside the black box: Neural network-based real-time prediction of US recessions
by: Chung, Seulki
Published: (2023)
by: Chung, Seulki
Published: (2023)
Adaptive, Rate-Optimal Hypothesis Testing in Nonparametric IV Models
by: Breunig, Christoph, et al.
Published: (2020)
by: Breunig, Christoph, et al.
Published: (2020)
Neighborhood Adaptive Estimators for Causal Inference under Network Interference
by: Belloni, Alexandre, et al.
Published: (2022)
by: Belloni, Alexandre, et al.
Published: (2022)
Distributed Causality in the SDG Network: Evidence from Panel VAR and Conditional Independence Analysis
by: Fahim, Md Muhtasim Munif, et al.
Published: (2026)
by: Fahim, Md Muhtasim Munif, et al.
Published: (2026)
Estimating Network Models using Neural Networks
by: Mele, Angelo
Published: (2025)
by: Mele, Angelo
Published: (2025)
Causal EpiNets: Precision-corrected Bounds on Individual Treatment Effects using Epistemic Neural Networks
by: Patil, Gandharv, et al.
Published: (2026)
by: Patil, Gandharv, et al.
Published: (2026)
Valuing an Engagement Surface using a Large Scale Dynamic Causal Model
by: Mukerji, Abhimanyu, et al.
Published: (2024)
by: Mukerji, Abhimanyu, et al.
Published: (2024)
Tackling Interference Induced by Data Training Loops in A/B Tests: A Weighted Training Approach
by: Si, Nian
Published: (2023)
by: Si, Nian
Published: (2023)
A Neural Phillips Curve and a Deep Output Gap
by: Coulombe, Philippe Goulet
Published: (2022)
by: Coulombe, Philippe Goulet
Published: (2022)
Neural ARFIMA model for forecasting BRIC exchange rates with long memory
by: Chakraborty, Tanujit, et al.
Published: (2025)
by: Chakraborty, Tanujit, et al.
Published: (2025)
A Heteroskedasticity-Robust Overidentifying Restriction Test with High-Dimensional Covariates
by: Fan, Qingliang, et al.
Published: (2022)
by: Fan, Qingliang, et al.
Published: (2022)
Individualized Policy Evaluation and Learning under Clustered Network Interference
by: Zhang, Yi, et al.
Published: (2023)
by: Zhang, Yi, et al.
Published: (2023)
Re-examining Granger Causality with Causal Bayesian Networks and Reichenbachs Principles
by: Adedayo, S. A.
Published: (2025)
by: Adedayo, S. A.
Published: (2025)
Can We Validate Counterfactual Estimations in the Presence of General Network Interference?
by: Shirani, Sadegh, et al.
Published: (2025)
by: Shirani, Sadegh, et al.
Published: (2025)
Fast Response or Silence: Conversation Persistence in an AI-Agent Social Network
by: Eziz, Aysajan
Published: (2026)
by: Eziz, Aysajan
Published: (2026)
Improving the Estimation of Lifetime Effects in A/B Testing via Treatment Locality
by: Chen, Shuze, et al.
Published: (2024)
by: Chen, Shuze, et al.
Published: (2024)
Testing Most Influential Sets
by: Konrad, Lucas Darius, et al.
Published: (2025)
by: Konrad, Lucas Darius, et al.
Published: (2025)
Training and Testing with Multiple Splits: A Central Limit Theorem for Split-Sample Estimators
by: Fava, Bruno
Published: (2025)
by: Fava, Bruno
Published: (2025)
Double Machine Learning at Scale to Predict Causal Impact of Customer Actions
by: More, Sushant, et al.
Published: (2024)
by: More, Sushant, et al.
Published: (2024)
Torch-Choice: A PyTorch Package for Large-Scale Choice Modeling with Python
by: Du, Tianyu, et al.
Published: (2023)
by: Du, Tianyu, et al.
Published: (2023)
Statistical Tests for Replacing Human Decision Makers with Algorithms
by: Feng, Kai, et al.
Published: (2023)
by: Feng, Kai, et al.
Published: (2023)
Identification and Inference in Nonlinear Dynamic Network Models
by: Vallarino, Diego
Published: (2026)
by: Vallarino, Diego
Published: (2026)
A Large-Scale Empirical Comparison of Meta-Learners and Causal Forests for Heterogeneous Treatment Effect Estimation in Marketing Uplift Modeling
by: Singh, Aman
Published: (2026)
by: Singh, Aman
Published: (2026)
Weak instrumental variables due to nonlinearities in panel data: A Super Learner Control Function estimator
by: Avila-Marquez, Monika
Published: (2025)
by: Avila-Marquez, Monika
Published: (2025)
Explainable AI in Spatial Analysis
by: Li, Ziqi
Published: (2025)
by: Li, Ziqi
Published: (2025)
Similar Items
-
High-Dimensional Learning in Finance
by: Fallahgoul, Hasan
Published: (2025) -
Bayesian Neural Networks for Macroeconomic Analysis
by: Hauzenberger, Niko, et al.
Published: (2022) -
Collusion Detection with Graph Neural Networks
by: Gomes, Lucas, et al.
Published: (2024) -
From Reactive to Proactive Volatility Modeling with Hemisphere Neural Networks
by: Coulombe, Philippe Goulet, et al.
Published: (2023) -
Efficient and Scalable Estimation of Distributional Treatment Effects with Multi-Task Neural Networks
by: Hirata, Tomu, et al.
Published: (2025)