Cover Image

Explainable AI in Spatial Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Li, Ziqi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Econometrics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Moran Eigenvectors Improve Machine Learning of Spatial Data? Insights from Synthetic Data Validation
by: Li, Ziqi, et al.
Published: (2025)

Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances
by: Balzer, Michael
Published: (2025)

Enhancing Poverty Targeting with Spatial Machine Learning: An application to Indonesia
by: Martinez, Rolando Gonzales, et al.
Published: (2025)

From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
by: Shmueli, Galit, et al.
Published: (2025)

Bootstrapping with AI/ML-generated labels
by: Christensen, Timothy, et al.
Published: (2026)

Inference for Regression with Variables Generated by AI or Machine Learning
by: Battaglia, Laura, et al.
Published: (2024)

Probabilistic Quantile Factor Analysis
by: Korobilis, Dimitris, et al.
Published: (2022)

Welfare Analysis in Dynamic Models
by: Chernozhukov, Victor, et al.
Published: (2019)

The Post Double LASSO for Efficiency Analysis
by: Parmeter, Christopher, et al.
Published: (2025)

Bayesian Neural Networks for Macroeconomic Analysis
by: Hauzenberger, Niko, et al.
Published: (2022)

An Auditable AI Agent Loop for Empirical Economics: A Case Study in Forecast Combination
by: Shin, Minchul
Published: (2026)

Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction
by: Zeng, Hao, et al.
Published: (2024)

Applied Causal Inference Powered by ML and AI
by: Chernozhukov, Victor, et al.
Published: (2024)

Spatially Robust Inference with Predicted and Missing at Random Labels
by: Salerno, Stephen, et al.
Published: (2026)

Fast Response or Silence: Conversation Persistence in an AI-Agent Social Network
by: Eziz, Aysajan
Published: (2026)

From Many Models, One: Macroeconomic Forecasting with Reservoir Ensembles
by: Ballarin, Giovanni, et al.
Published: (2025)

Predicting NVIDIA's Next-Day Stock Price: A Comparative Analysis of LSTM, MLP, ARIMA, and ARIMA-GARCH Models
by: Xing, Yiluan, et al.
Published: (2024)

Mining Causality: AI-Assisted Search for Instrumental Variables
by: Han, Sukjin
Published: (2024)

Weak instrumental variables due to nonlinearities in panel data: A Super Learner Control Function estimator
by: Avila-Marquez, Monika
Published: (2025)

Unemployment Dynamics Forecasting with Machine Learning Regression Models
by: Kim, Kyungsu
Published: (2025)

Individual and group fairness in geographical partitioning
by: Ryzhov, Ilya O., et al.
Published: (2025)

High-dimensional censored MIDAS logistic regression for corporate survival forecasting
by: Miao, Wei, et al.
Published: (2025)

Beating the Winner's Curse via Inference-Aware Policy Optimization
by: Bastani, Hamsa, et al.
Published: (2025)

From Reviews to Actionable Insights: An LLM-Based Approach for Attribute and Feature Extraction
by: Boughanmi, Khaled, et al.
Published: (2025)

Type 2 Tobit Sample Selection Models with Bayesian Additive Regression Trees
by: O'Neill, Eoghan
Published: (2025)

A Projection-Based ARIMA Framework for Nonlinear Dynamics in Macroeconomic and Financial Time Series: Closed-Form Estimation and Rolling-Window Inference
by: Liu, Haojie, et al.
Published: (2025)

SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement
by: Cho, Brian, et al.
Published: (2025)

How Do Consumers Really Choose: Exposing Hidden Preferences with the Mixture of Experts Model
by: Vallarino, Diego
Published: (2025)

Identification and Estimation of Simultaneous Equation Models Using Higher-Order Cumulant Restrictions
by: Jiang, Ziyu
Published: (2025)

Macroeconomic Forecasting and Machine Learning
by: Chi, Ta-Chung, et al.
Published: (2025)

Policy-Oriented Binary Classification: Improving (KD-)CART Final Splits for Subpopulation Targeting
by: Wang, Lei Bill, et al.
Published: (2025)

Scale-Insensitive Neural Network Significance Tests
by: Fallahgoul, Hasan
Published: (2025)

A Unifying Framework for Robust and Efficient Inference with Unstructured Data
by: Carlson, Jacob, et al.
Published: (2025)

Bellman Calibration for $V$-Learning in Offline Reinforcement Learning
by: van der Laan, Lars, et al.
Published: (2025)

Making Interpretable Discoveries from Unstructured Data: A High-Dimensional Multiple Hypothesis Testing Approach
by: Carlson, Jacob
Published: (2025)

ReLU-Based and DNN-Based Generalized Maximum Score Estimators
by: Chen, Xiaohong, et al.
Published: (2025)

Double Machine Learning for Causal Inference under Shared-State Interference
by: Hays, Chris, et al.
Published: (2025)

Admissibility of Completely Randomized Trials: A Large-Deviation Approach
by: Imbens, Guido, et al.
Published: (2025)

Estimation in high-dimensional linear regression: Post-Double-Autometrics as an alternative to Post-Double-Lasso
by: Hué, Sullivan, et al.
Published: (2025)

Model-Estimation-Free, Dense, and High Dimensional Consistent Precision Matrix Estimators
by: Stojnic, Mehmet Caner Agostino Capponi Mihailo
Published: (2025)