Neural Network Modeling for Forecasting Tourism Demand in Stopića Cave: A Serbian Cave Tourism Study
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Bajić, Buda, Milićević, Srđan, Antić, Aleksandar, Marković, Slobodan, Tomić, Nemanja |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Forecasting Labor Demand: Predicting JOLT Job Openings using Deep Learning Model
par: Kim, Kyungsu
Publié: (2025)
par: Kim, Kyungsu
Publié: (2025)
Global Neural Networks and The Data Scaling Effect in Financial Time Series Forecasting
par: Liu, Chen, et autres
Publié: (2023)
par: Liu, Chen, et autres
Publié: (2023)
Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand
par: Golden, Dana, et autres
Publié: (2026)
par: Golden, Dana, et autres
Publié: (2026)
A Deep Learning Representation of Spatial Interaction Model for Resilient Spatial Planning of Community Business Clusters
par: Hao, Haiyan, et autres
Publié: (2024)
par: Hao, Haiyan, et autres
Publié: (2024)
From Model Choice to Model Belief: Establishing a New Measure for LLM-Based Research
par: Sun, Hongshen, et autres
Publié: (2025)
par: Sun, Hongshen, et autres
Publié: (2025)
Large Language Models: An Applied Econometric Framework
par: Ludwig, Jens, et autres
Publié: (2024)
par: Ludwig, Jens, et autres
Publié: (2024)
Causal EpiNets: Precision-corrected Bounds on Individual Treatment Effects using Epistemic Neural Networks
par: Patil, Gandharv, et autres
Publié: (2026)
par: Patil, Gandharv, et autres
Publié: (2026)
DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks
par: Shu, Aijie, et autres
Publié: (2026)
par: Shu, Aijie, et autres
Publié: (2026)
Estimating Visual Attribute Effects in Advertising from Observational Data: A Deepfake-Informed Double Machine Learning Approach
par: Liu, Yizhi, et autres
Publié: (2026)
par: Liu, Yizhi, et autres
Publié: (2026)
A Network Simulation of OTC Markets with Multiple Agents
par: Wilkinson, James T., et autres
Publié: (2024)
par: Wilkinson, James T., et autres
Publié: (2024)
Evaluating the Accuracy of Chatbots in Financial Literature
par: Erdem, Orhan, et autres
Publié: (2024)
par: Erdem, Orhan, et autres
Publié: (2024)
Can large language models assist choice modelling? Insights into prompting strategies and current models capabilities
par: Sfeir, Georges, et autres
Publié: (2025)
par: Sfeir, Georges, et autres
Publié: (2025)
AI Assisted Economics Measurement From Survey: Evidence from Public Employee Pension Choice
par: Wang, Tiancheng, et autres
Publié: (2026)
par: Wang, Tiancheng, et autres
Publié: (2026)
Sufficient conditions for a Heuristic Rating Estimation Method application
par: Szybowski, Jacek, et autres
Publié: (2026)
par: Szybowski, Jacek, et autres
Publié: (2026)
Can AI Master Econometrics? Evidence from Econometrics AI Agent on Expert-Level Tasks
par: Chen, Qiang, et autres
Publié: (2025)
par: Chen, Qiang, et autres
Publié: (2025)
A primer on optimal transport for causal inference with observational data
par: Gunsilius, Florian F
Publié: (2025)
par: Gunsilius, Florian F
Publié: (2025)
A Hybrid Framework for Reinsurance Optimization: Integrating Generative Models and Reinforcement Learning
par: Dong, Stella C.
Publié: (2025)
par: Dong, Stella C.
Publié: (2025)
Scaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis
par: Casadei, Alessandro, et autres
Publié: (2025)
par: Casadei, Alessandro, et autres
Publié: (2025)
Semiparametric Preference Optimization: Your Language Model is Secretly a Single-Index Model
par: Kallus, Nathan
Publié: (2025)
par: Kallus, Nathan
Publié: (2025)
Automated Demand Forecasting in small to medium-sized enterprises
par: Gaertner, Thomas, et autres
Publié: (2024)
par: Gaertner, Thomas, et autres
Publié: (2024)
Multi-Agent Influence Diagrams to Hybrid Threat Modeling
par: Vonk, Maarten C., et autres
Publié: (2026)
par: Vonk, Maarten C., et autres
Publié: (2026)
Auditing and Fixing Economic Validity in Tabular Foundation Models for Discrete Choice
par: Wang, Yingshuo, et autres
Publié: (2026)
par: Wang, Yingshuo, et autres
Publié: (2026)
An Empirical Risk Minimization Approach for Offline Inverse RL and Dynamic Discrete Choice Model
par: Kang, Enoch H., et autres
Publié: (2025)
par: Kang, Enoch H., et autres
Publié: (2025)
Diffolio: A Diffusion Model for Multivariate Probabilistic Financial Time-Series Forecasting and Portfolio Construction
par: Cho, So-Yoon, et autres
Publié: (2025)
par: Cho, So-Yoon, et autres
Publié: (2025)
How Well Do LLMs Predict Human Behavior? A Measure of their Pretrained Knowledge
par: Gao, Wayne, et autres
Publié: (2026)
par: Gao, Wayne, et autres
Publié: (2026)
Fast Forecasting of Unstable Data Streams for On-Demand Service Platforms
par: Hu, Yu Jeffrey, et autres
Publié: (2023)
par: Hu, Yu Jeffrey, et autres
Publié: (2023)
Simulation-Based Benchmarking of Reinforcement Learning Agents for Personalized Retail Promotions
par: Xia, Yu, et autres
Publié: (2024)
par: Xia, Yu, et autres
Publié: (2024)
Management Decisions in Manufacturing using Causal Machine Learning -- To Rework, or not to Rework?
par: Schwarz, Philipp, et autres
Publié: (2024)
par: Schwarz, Philipp, et autres
Publié: (2024)
Optimal Text-Based Time-Series Indices
par: Ardia, David, et autres
Publié: (2024)
par: Ardia, David, et autres
Publié: (2024)
Generating density nowcasts for U.S. GDP growth with deep learning: Bayes by Backprop and Monte Carlo dropout
par: Németh, Kristóf, et autres
Publié: (2024)
par: Németh, Kristóf, et autres
Publié: (2024)
Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators
par: Huang, Yiyan, et autres
Publié: (2024)
par: Huang, Yiyan, et autres
Publié: (2024)
LLM Personas as a Substitute for Field Experiments in Method Benchmarking
par: Kang, Enoch Hyunwook
Publié: (2025)
par: Kang, Enoch Hyunwook
Publié: (2025)
Foundation Priors
par: Misra, Sanjog
Publié: (2025)
par: Misra, Sanjog
Publié: (2025)
Deep Learning Enhanced Multivariate GARCH
par: Wang, Haoyuan, et autres
Publié: (2025)
par: Wang, Haoyuan, et autres
Publié: (2025)
GDP nowcasting with artificial neural networks: How much does long-term memory matter?
par: Németh, Kristóf, et autres
Publié: (2023)
par: Németh, Kristóf, et autres
Publié: (2023)
LLM-Generated Counterfactual Stress Scenarios for Portfolio Risk Simulation via Hybrid Prompt-RAG Pipeline
par: Soleimani, Masoud
Publié: (2025)
par: Soleimani, Masoud
Publié: (2025)
Structural Estimation of Markov Decision Processes in High-Dimensional State Space with Finite-Time Guarantees
par: Zeng, Siliang, et autres
Publié: (2022)
par: Zeng, Siliang, et autres
Publié: (2022)
A Double Machine Learning Approach to Combining Experimental and Observational Data
par: Parikh, Harsh, et autres
Publié: (2023)
par: Parikh, Harsh, et autres
Publié: (2023)
The Challenge of Using LLMs to Simulate Human Behavior: A Causal Inference Perspective
par: Gui, George, et autres
Publié: (2023)
par: Gui, George, et autres
Publié: (2023)
$ρ$-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows
par: Balgi, Sourabh, et autres
Publié: (2022)
par: Balgi, Sourabh, et autres
Publié: (2022)
Documents similaires
-
Forecasting Labor Demand: Predicting JOLT Job Openings using Deep Learning Model
par: Kim, Kyungsu
Publié: (2025) -
Global Neural Networks and The Data Scaling Effect in Financial Time Series Forecasting
par: Liu, Chen, et autres
Publié: (2023) -
Certificates without Electrons? Theory and Evidence on Impacts from AI-Driven Power Demand
par: Golden, Dana, et autres
Publié: (2026) -
A Deep Learning Representation of Spatial Interaction Model for Resilient Spatial Planning of Community Business Clusters
par: Hao, Haiyan, et autres
Publié: (2024) -
From Model Choice to Model Belief: Establishing a New Measure for LLM-Based Research
par: Sun, Hongshen, et autres
Publié: (2025)