Results 21 to 30 of about 1,125,987 (281)
Characterization of Predictive Behavior of a Retina by Mutual Information
Frontiers in Computational Neuroscience, 2017 Probing a bullfrog retina with spatially uniform light pulses of correlated stochastic intervals, we calculate the mutual information between the spiking output at the ganglion cells measured with multi-electrode array (MEA) and the interval of the ...
Kevin Sean Chen +4 more
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Stochastic exclusion processes versus coherent transport [PDF]
, 2010 Stochastic exclusion processes play an integral role in the physics of non-equilibrium statistical mechanics. These models are Markovian processes, described by a classical master equation.
Augusiak R +12 more
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Application of Hölder Function to Expansion Intensity of Spatial Phenomena Analysis
Acta Universitatis Lodziensis. Folia Oeconomica, 2018 The development of methods describing time series using stochastic processes took place in the 20th century. Among others, stationary processes were modelled with Hurst exponent, whereas non‑stationary processes with Hölder function.
Adrianna Damiana Mastalerz-Kodzis +1 more
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Mathematics, 2020 Adding a linear trend in regressions is a frequent detrending method in economic literatures. The traditional literatures pointed out that if the variable considered is a difference-stationary process, then it will artificially create pseudo-periodicity ...
Zhiming LONG, Rémy HERRERA
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Sufficient stochastic maximum principle for the optimal control of semi-Markov modulated jump-diffusion with application to Financial optimization [PDF]
, 2014 The finite state semi-Markov process is a generalization over the Markov chain in which the sojourn time distribution is any general distribution. In this article we provide a sufficient stochastic maximum principle for the optimal control of a semi ...
Deshpande, Amogh
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Zhileng xuebao, 2023 Reasonable optimization of the operation strategy is essential for saving energy in the long-term operation of heat pump systems. However, the strategy optimization process is susceptible to load uncertainty, which causes the optimized strategy to save ...
Liu Chengning +3 more
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Long-time convergence of an adaptive biasing force method: Variance reduction by Helmholtz projection [PDF]
, 2015 In this paper, we propose an improvement of the adaptive biasing force (ABF) method, by projecting the estimated mean force onto a gradient. The associated stochastic process satisfies a non linear stochastic differential equation.
Alrachid, Houssam, Lelièvre, Tony
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Quantum stochastic processes III [PDF]
Communications in Mathematical Physics, 1970 We investigate properties of a class of quantum stochastic processes subject to a condition of irreducibility. These processes must be recurrent or transient and an equilibrium state can only exist in the former case. Every finite dimensional process is recurrent and it is possible to establish convergence in time to a unique equilibrium state.
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Quantum Stochastic Processes [PDF]
, 1985 Let ℬ be *-algebra with identity (usually it wil be a C*- or a W*-algebra). A quantum stochastic process over ℬ indexed by ℝ is defined by a triple {A, (jt)t∈ℝ, φ} where A is a *-algebra with identity. jt : ℬ ↪A is an embedding (t∈ℝ). φ is a State on A.
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Entropy Measures for Stochastic Processes with Applications in Functional Anomaly Detection
Entropy, 2018 We propose a definition of entropy for stochastic processes. We provide a reproducing kernel Hilbert space model to estimate entropy from a random sample of realizations of a stochastic process, namely functional data, and introduce two approaches to ...
Gabriel Martos +3 more
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