Cover Image

Probability Bracket Notation: Markov Sequence Projector of Visible and Hidden Markov Models in Dynamic Bayesian Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Wang, Xing M.
Format:	Preprint
Published:	2012
Subjects:	Artificial Intelligence Probability 62F15 G.3; I.2.3
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Probability Bracket Notation: Multivariable Systems and Static Bayesian Networks
by: Wang, Xing M.
Published: (2012)

Theoretical Foundations of Latent Posterior Factors: Formal Guarantees for Multi-Evidence Reasoning
by: Alege, Aliyu Agboola
Published: (2026)

Probability Bracket Notation, Wick-Matsubara Relation, Density Operators, and Microscopic Probability Modeling
by: Wang, Xing M.
Published: (2009)

From Noisy News Sentiment Scores to Interpretable Temporal Dynamics: A Bayesian State-Space Model
by: Casals, Ian Carbó
Published: (2026)

Consistent model selection for the Degree Corrected Stochastic Blockmodel
by: Cerqueira, Andressa, et al.
Published: (2023)

Forecasting Oncology Demand Trends with Boosting-Based Bayesian Conjugate Models
by: Neto, Ademir Batista dos Santos, et al.
Published: (2026)

Empirical Decision Theory
by: Jansen, Christoph, et al.
Published: (2025)

Distribution-Free Uncertainty Quantification for Continuous AI Agent Evaluation
by: Gao, Yuxuan, et al.
Published: (2026)

Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data
by: Cabral, Rafael, et al.
Published: (2024)

Constant-Target Energy Matching: A Unified Framework for Continuous and Discrete Density Estimation
by: Zeng, Zhijun, et al.
Published: (2026)

Theory: Multidimensional Space of Events
by: Kavun, Sergii
Published: (2025)

metabeta -- A fast neural model for Bayesian mixed-effects regression
by: Kipnis, Alex, et al.
Published: (2025)

Central Limit Theorems for Transition Probabilities of Controlled Markov Chains
by: Su, Ziwei, et al.
Published: (2025)

Reasoning and Planning with Dynamically Changing Norms
by: Olson, Taylor, et al.
Published: (2026)

Projectivity revisited
by: Weitkämper, Felix
Published: (2022)

I Know What I Don't Know: Latent Posterior Factor Models for Multi-Evidence Probabilistic Reasoning
by: Alege, Aliyu Agboola
Published: (2026)

On consistency of Bayesian parameter estimations for a class of ergodic Markov models
by: Nurieva, A. I., et al.
Published: (2022)

Bayesian Knowledge Transfer for a Kalman Fixed-Lag Interval Smoother
by: Skalský, Ondřej, et al.
Published: (2025)

Bayesian Optimality of In-Context Learning with Selective State Spaces
by: Zhang, Di, et al.
Published: (2026)

The Good, the Bad, and the Ugly of Markov Boundary for Tabular Prediction
by: Wan, Shu, et al.
Published: (2026)

Dynamic Bayesian Networks with Conditional Dynamics in Edge Addition and Deletion
by: Chan, Lupe S. H., et al.
Published: (2024)

Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks
by: Høyheim, Eirik, et al.
Published: (2025)

From Tail Universality to Bernstein-von Mises: A Unified Statistical Theory of Semi-Implicit Variational Inference
by: Plummer, Sean
Published: (2025)

Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
by: Wu, Hao, et al.
Published: (2023)

Bayesian Modeling of Collatz Stopping Times: A Probabilistic Machine Learning Perspective
by: Bonacorsi, Nicolò, et al.
Published: (2026)

Revisiting Unbiased Implicit Variational Inference
by: Pielok, Tobias, et al.
Published: (2025)

Algorithmic Trading Strategy Development and Optimisation
by: Yuan, Owen Nyo Wei, et al.
Published: (2026)

A logical alarm for misaligned binary classifiers
by: Corrada-Emmanuel, Andrés, et al.
Published: (2024)

Yanasse: Finding New Proofs from Deep Vision's Analogies, Part 1
by: Linhares, Alexandre
Published: (2026)

Neural Methods for Multiple Systems Estimation Models
by: Marsh, Joseph, et al.
Published: (2026)

Conformal Prediction Sets for Next-Token Prediction in Large Language Models: Balancing Coverage Guarantees with Set Efficiency
by: Kotla, Yoshith Roy, et al.
Published: (2025)

Prediction-Based Markov Violation Scores for Detecting Non-Markovian Observations in Reinforcement Learning
by: Mysore, Naveen
Published: (2026)

Formal Conjectures: An Open and Evolving Benchmark for Verified Discovery in Mathematics
by: Firsching, Moritz, et al.
Published: (2026)

The Attribution Impossibility: No Feature Ranking Is Faithful, Stable, and Complete Under Collinearity
by: Caraker, Drake, et al.
Published: (2026)

Directional Asymmetry in Edge BasedSpatial Models via a Skew Normal Prior
by: Cruz-Reyes, Danna L., et al.
Published: (2026)

Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
by: Wibbeke, Jelke, et al.
Published: (2025)

Bayesian Inference for Non-Conjugate Distance Dependent Chinese Restaurant Process Models
by: Marsh, Joseph, et al.
Published: (2026)

Ontological Trajectory Forecasting via Finite Semigroup Iteration and Lie Algebra Approximation in Geopolitical Knowledge Graphs
by: Wu, Qihang
Published: (2026)

ICE: Intervention-Consistent Explanation Evaluation with Statistical Grounding for LLMs
by: Basu, Abhinaba, et al.
Published: (2026)

Forecasting intermittent time series with Gaussian Processes and Tweedie likelihood
by: Damato, Stefano, et al.
Published: (2025)