Image de couverture de livre

Hidden Markov Models for Stock Market Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Catello, Luigi, Ruggiero, Ludovica, Schiavone, Lucia, Valentino, Mario
Format:	Preprint
Publié:	2023
Sujets:	Systems and Control
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Sparse shepherding control of large-scale multi-agent systems via Reinforcement Learning
par: Catello, Luigi, et autres
Publié: (2025)

Differentiable Filtering for Learning Hidden Markov Models
par: Chen, Reginald Zhiyan, et autres
Publié: (2025)

Hidden Markov Models and the Bayes Filter in Categorical Probability
par: Fritz, Tobias, et autres
Publié: (2024)

Data-Driven Privacy-Preserving Modeling and Frequency Regulation with Aggregated Electric Vehicles via Bilinear Hidden Markov Model
par: Liu, Yiping, et autres
Publié: (2026)

Artificial Potential Field and Sliding Mode Control for Spacecraft Attitude Maneuver with Actuation and Pointing Constraints
par: Mancini, Mauro, et autres
Publié: (2025)

Dual Filter: A Transformer-like Inference Architecture for Hidden Markov Models
par: Chang, Heng-Sheng, et autres
Publié: (2025)

Alpha-Beta HMM: Hidden Markov Model Filtering with Equal Exit Probabilities and a Step-Size Parameter
par: Sui, Dongyan, et autres
Publié: (2025)

Economic Model Predictive Control as a Solution to Markov Decision Processes
par: Reinhardt, Dirk, et autres
Publié: (2024)

On the Relation of State Space Models and Hidden Markov Models
par: Ghojogh, Aydin, et autres
Publié: (2026)

Feasibility-Guided Safety-Aware Model Predictive Control for Jump Markov Linear Systems
par: Laouar, Zakariya, et autres
Publié: (2023)

Robust Model Predictive Control Exploiting Monotonicity Properties
par: Heinlein, Moritz, et autres
Publié: (2024)

A Feedback Linearized Model Predictive Control Strategy for Input-Constrained Self-Driving Cars
par: Tiriolo, Cristian, et autres
Publié: (2024)

Adaptive Navigation Strategy for Low-Thrust Proximity Operations in Circular Relative Orbit
par: Ruggiero, Dario, et autres
Publié: (2025)

Long-term Hydrothermal Bid-based Market Simulator
par: Garcia, Joaquim Dias, et autres
Publié: (2024)

Predictive Compensation in Finite-Horizon LQ Games under Gauss-Markov Deviations
par: Mojahed, Navid, et autres
Publié: (2025)

Should Small-Scale Data Centers Participate in the Day-Ahead Electricity Market?
par: Figini, Enea, et autres
Publié: (2026)

Resilient Model Predictive Control of Distributed Systems Under Attack Using Local Attack Identification
par: Braun, Sarah, et autres
Publié: (2023)

Methods for Multi-objective Optimization PID Controller for quadrotor UAVs
par: Vaiuso, Andrea, et autres
Publié: (2025)

Market Implications of Alternative Operating Reserve Modeling in Wholesale Electricity Markets
par: Davoudi, Hamid, et autres
Publié: (2024)

A Markov Decision Process Model for Intrusion Tolerance Problems
par: Kreidl, Patrick
Publié: (2025)

Interactive Trajectory Planning with Learning-based Distributionally Robust Model Predictive Control and Markov Systems
par: Börve, Erik, et autres
Publié: (2026)

Minimal positive Markov realizations
par: Taghavian, Hamed, et autres
Publié: (2025)

Techno-Economic Modelling and Component Sizing in Renewable Energy Communities: A Participant Perspective
par: Kachhad, Vishal, et autres
Publié: (2025)

Robust Proximity Operations using Probabilistic Markov Models
par: Parikh, Deep, et autres
Publié: (2024)

An Analysis of Market-to-Market Coordination
par: Ren, Weihang, et autres
Publié: (2024)

A Comparison between Markov Chain and Koopman Operator Based Data-Driven Modeling of Dynamical Systems
par: Tafazzol, Saeid, et autres
Publié: (2023)

Embedded Model Predictive Control for EMS-type Maglev Vehicles
par: Kargl, Arnim, et autres
Publié: (2026)

Empowering Prosumers: Incentive Design for Local Electricity Markets Under Generalized Uncertainty and Grid Constraints
par: Austnes, Pål Forr, et autres
Publié: (2025)

Convex Approximations of Random Constrained Markov Decision Processes
par: Varagapriya, V, et autres
Publié: (2025)

Operator Splitting for Convex Constrained Markov Decision Processes
par: Grontas, Panagiotis D., et autres
Publié: (2024)

Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy Optimization
par: Brandner, Dean, et autres
Publié: (2024)

Hidden Convexity-Based Distributed Operation of Integrated Electricity-Gas Systems
par: Liu, Rong-Peng, et autres
Publié: (2024)

Steady-State Initialization of Object-Oriented Advanced Thermal Power Generation System Models with Application to the Case of the SOS-CO2 Cycle
par: De Pascali, Matteo Luigi, et autres
Publié: (2024)

Set-Theoretic Direct Data-driven Predictive Control
par: Bajelani, Mohammad, et autres
Publié: (2024)

A Model-free Biomimetics Algorithm for Deterministic Partially Observable Markov Decision Process
par: Yu, Yide, et autres
Publié: (2024)

A Power Market Model with Hypersaclers and Modular Datacenters
par: Chen, Yihsu, et autres
Publié: (2026)

Model Predictive Control of Non-Holonomic Vehicles: Beyond Differential-Drive
par: Rosenfelder, Mario, et autres
Publié: (2022)

Context-Aware Stochastic Modeling of Consumer Energy Resource Aggregators in Electricity Markets
par: Sankalpa, Chatum, et autres
Publié: (2025)

Structural Monotonicity in Transmission Scheduling for Remote State Estimation with Hidden Channel Mode
par: Sasahara, Hampei
Publié: (2026)

Aggregating Large-Scale Generalized Energy Storages to Participate in Energy Market and Regulation Market
par: Yao, Yao, et autres
Publié: (2019)