Image de couverture de livre

Pre-Training Estimators for Structural Models: Application to Consumer Search

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wei, Yanhao 'Max', Jiang, Zhenling
Format:	Preprint
Publié:	2025
Sujets:	Econometrics Machine Learning Computation G.3; J.4; I.2
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Estimating Parameters of Structural Models Using Neural Networks
par: Yanhao, et autres
Publié: (2025)

A Benchmark of Classical and Deep Learning Models for Agricultural Commodity Price Forecasting on A Novel Bangladeshi Market Price Dataset
par: Muhammad, Tashreef, et autres
Publié: (2026)

Auditing Marketing Budget Allocation with Hindsight Regret
par: Pathak, Nilavra, et autres
Publié: (2026)

Aligning Language Models with Observational Data: Opportunities and Risks from a Causal Perspective
par: Loghmani, Erfan
Publié: (2025)

Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy
par: Agarwal, Anish, et autres
Publié: (2021)

Hierarchical Dual-Head Model for Suicide Risk Assessment via MentalRoBERTa
par: Yang, Chang, et autres
Publié: (2025)

Heterogeneous Variational Inference for Markov Degradation Hazard Models: Discretized Mixture with Interpretable Clusters
par: Yasuno, Takato
Publié: (2026)

The geometry of online conversations and the causal antecedents of conflictual discourse
par: Santagiustina, Carlo, et autres
Publié: (2026)

Predicting the descent into extremism and terrorism
par: Lane, R. O., et autres
Publié: (2025)

Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
par: Lai, Shanyan
Publié: (2025)

Learning What Evaluators Value: A Reliable Approach to Modeling Evaluator Preferences
par: Kitch, Madeline Celi, et autres
Publié: (2026)

GeMA: Learning Latent Manifold Frontiers for Benchmarking Complex Systems
par: Li, Jia Ming, et autres
Publié: (2026)

Decision Traces: What Multi-System Data Fusion Reveals About Institutional Knowledge in Enterprise Hiring
par: Shafiq, Saad Bin
Publié: (2026)

Economic Causal Inference Based on DML Framework: Python Implementation of Binary and Continuous Treatment Variables
par: Yao, Shunxin
Publié: (2025)

Prediction of Usage Probabilities of Shopping-Mall Corridors Using Heterogeneous Graph Neural Networks
par: Barakathullah, Malik M, et autres
Publié: (2025)

Understanding Deterioration Random Effects for Causal Discovery in Infrastructure Management
par: Yasuno, Takato
Publié: (2026)

The Structural Bite: A Methodological Framework for Minimum Wage Studies using Spanish Administrative Data
par: Lacasa-Cazcarra, Marcos
Publié: (2026)

Machine Collaboration
par: Liu, Qingfeng, et autres
Publié: (2021)

Context-dependent Causality (the Non-Nonotonic Case)
par: Billfeld, Nir, et autres
Publié: (2024)

SplitWise Regression: Stepwise Modeling with Adaptive Dummy Encoding
par: Kurbucz, Marcell T., et autres
Publié: (2025)

A Model and Estimation of the Bitcoin Transaction Fee
par: Aronoff, Daniel, et autres
Publié: (2026)

Robust X-Learner: Breaking the Curse of Imbalance and Heavy Tails via Robust Cross-Imputation
par: Uehara, Eichi
Publié: (2026)

Mechanism Learning: reverse causal inference in the presence of multiple unknown confounding through causally weighted Gaussian mixture models
par: Mao, Jianqiao, et autres
Publié: (2024)

Capturing Multivariate Dependencies of EV Charging Events: From Parametric Copulas to Neural Density Estimation
par: Výboh, Martin, et autres
Publié: (2026)

Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models
par: Klein, Guido, et autres
Publié: (2024)

A new mapping of technological interdependence
par: Colladon, A. Fronzetti, et autres
Publié: (2023)

Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification
par: Philps, Ben, et autres
Publié: (2024)

Latent Space Representation of Electricity Market Curves: Maintaining Structural Integrity
par: Výboh, Martin, et autres
Publié: (2025)

A Big Data Approach to Understand Sub-national Determinants of FDI in Africa
par: Colladon, A. Fronzetti, et autres
Publié: (2024)

kendallknight: An R Package for Efficient Implementation of Kendall's Correlation Coefficient Computation
par: Sepúlveda, Mauricio Vargas
Publié: (2024)

Consumer Research with Projective Techniques: A Mixed Methods-Focused Review and Empirical Reanalysis
par: France, Stephen L.
Publié: (2024)

Estimating Treatment Effects under Algorithmic Interference: A Structured Neural Networks Approach
par: Zhan, Ruohan, et autres
Publié: (2024)

tempdisagg: A Python Framework for Temporal Disaggregation of Time Series Data
par: Vera-Jaramillo, Jaime
Publié: (2025)

Stroke Lesions as a Rosetta Stone for Language Model Interpretability
par: Fridriksson, Julius, et autres
Publié: (2026)

Counterfactual Causal Inference in Natural Language with Large Language Models
par: Gendron, Gaël, et autres
Publié: (2024)

Multi-Stage Segmentation and Cascade Classification Methods for Improving Cardiac MRI Analysis
par: Slobodzian, Vitalii, et autres
Publié: (2024)

Assessing the Performance-Efficiency Trade-off of Foundation Models in Probabilistic Electricity Price Forecasting
par: Lettner, Jan Niklas, et autres
Publié: (2026)

Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab
par: Maczuga, Paweł, et autres
Publié: (2023)

Physics-informed neural network estimation of active material properties in time-dependent cardiac biomechanical models
par: Höfler, Matthias, et autres
Publié: (2025)

Robust and Clinically Reliable EEG Biomarkers: A Cross Population Framework for Generalizable Parkinson's Disease Detection
par: Rasmussen, Nicholas R., et autres
Publié: (2026)