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A multi-step APT attack detection using hidden Markov models by molecular magnetic sensors
Numerous attacks have targeted government agencies and industrial companies, making cybersecurity a global issue. When combined with a wide range of...
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Shannon Entropy Rate of Hidden Markov Processes
Hidden Markov chains are widely applied statistical models of stochastic processes, from fundamental physics and chemistry to finance, health, and...
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Invariance of State Estimate for a Finite Markov Chain with Discrete Time
AbstractThis study is devoted to solution of the problem of construction of the state estimate for a finite Markov chain with discrete time. The...
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Concentration Inequalities for Output Statistics of Quantum Markov Processes
We derive new concentration bounds for time averages of measurement outcomes in quantum Markov processes. This generalizes well-known bounds for...
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Reflected entropy and Markov gap in Lifshitz theories
We study the reflected entropy in (1+1)-dimensional Lifshitz field theory whose groundstate is described by a quantum mechanical model. Starting from...
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A Hidden Markov Model Characterizing Fish Escape in Response to a Bird Attack
A fish school scatters rapidly when it encounters a predator and then returns to schooling once the predator passed by. Many theoretical researchers...
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Derivation of a nonequilibrium Markov six-state model in the presence of a time-reversal antisymmetric variable
A Markov model that does not satisfy the detailed balance condition is often used for modeling a system continuously driven out of equilibrium by an...
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An Introduction to Imprecise Markov Chains
Stochastic processes in general provide a popular framework for modelling uncertainty about the evolution of dynamical systems. The theory of Markov...
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Quantum Theory in Finite Dimension Cannot Explain Every General Process with Finite Memory
Arguably, the largest class of stochastic processes generated by means of a finite memory consists of those that are sequences of observations...
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Logistics Route Planning in Agent-Based Simulation and Its Optimization Represented in Higher-Order Markov-Chain Networks
Route planning in logistics, in which multiple pickup and delivery positions exist in a road network, is a complicated task with many choices in a...
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Large Deviations of Return Times and Related Entropy Estimators on Shift Spaces
We prove the large deviation principle for several entropy and cross entropy estimators based on return times and waiting times on shift spaces over...
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Bayesian Estimation of Laser Linewidth From Delayed Self-Heterodyne Measurements
We present a statistical inference approach to estimate the frequency noise characteristics of ultra-narrow linewidth lasers from delayed...
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A Sub-GeV Low Mass Hidden Dark Sector of SU(2)H × U(1)X
We present a detailed study of the non-abelian vector dark matter candidate W t with a MeV–GeV low mass range, accompanied by a dark photon A ′ and a...
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Estimation of the Radial Tungsten Concentration Profiles from Soft X-ray Measurements at WEST with Bayesian Integrated Data Analysis
The accumulation of heavy impurities like tungsten in the plasma core of fusion devices can cause significant radiative power losses or even lead to...
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Baryonic dark forces in electron-beam fixed-target experiments
New GeV-scale dark forces coupling predominantly to quarks offer novel signatures that can be produced directly and searched for at high-luminosity...
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Optical network modelling-based data analytics for network monitoring and security analysis using hybrid computing models
With the ever-increasing complexity and scale of optical networks, efficient network monitoring and robust security analysis have become paramount....
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Response and Sensitivity Using Markov Chains
Dynamical systems are often subject to forcing or changes in their governing parameters and it is of interest to study how this affects their...
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Chain Rule Optimal Transport
We define a novel class of distances between statistical multivariate distributions by modeling an optimal transport problem on their marginals with...
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Analyzing volatility patterns in the Chinese stock market using partial mutual information-based distances
AbstractThis study examines the dynamic range of financial networks in the Chinese stock market between 2019 and 2021. It provides an objective...
