Extreme Values in Uniformly Mixing Stationary Stochastic Processes
, 1965 R. M. Loynes
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Stationary measures for certain stochastic processes [PDF]
Pacific Journal of Mathematics, 1958 John Lamperti
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Application of the Hellinger integrals to q-variate stationary stochastic processes [PDF]
, 1968 Habib Salehi
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Density regulation amplifies environmentally induced population fluctuations [PDF]
PeerJ, 2023 Background Density-dependent regulation is ubiquitous in population dynamics, and its potential interaction with environmental stochasticity complicates the characterization of the random component of population dynamics. Yet, this issue has not received
Crispin M. Mutshinda +3 more
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Learning Theory Estimates with Observations from General Stationary Stochastic Processes [PDF]
Neural Computation, 2016 This letter investigates the supervised learning problem with observations drawn from certain general stationary stochastic processes. Here by general, we mean that many stationary stochastic processes can be included.
H. Hang +3 more
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Characterization of ground oscillations induced by underground mining [PDF]
Podzemni Radovi, 2022 We examine ground acceleration during M1.5 and M2.0 seismic events induced by underground mining at Upper Silesian coal basin and Legnica Glogow copper mine, respectively, using methods of nonlinear time series analysis, in order to confirm its ...
Kostić Srđan, Vasović Nebojša
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Fisher information of correlated stochastic processes [PDF]
New Journal of Physics, 2022 Many real-world tasks include some kind of parameter estimation, i.e. the determination of a parameter encoded in a probability distribution. Often, such probability distributions arise from stochastic processes.
Marco Radaelli +3 more
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Trends and random walks in macroeconomics time series: The unit root test considerations [PDF]
اقتصاد باثبات, 2022 In the time series econometric literature, data generation and stationary are important issues in model selection and estimation method. Difference Stationary and Trend Stationary processes are data generation procedures.
Mehdi Fathabadi
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Mutual information rate between stationary Gaussian processes
Results in Applied Mathematics, 2020 Mutual information rate is an extension of the notion of mutual information to pairs of stationary stochastic processes. This quantity is defined as the time-averaged mutual information between corresponding segments of a pair of stationary stochastic ...
Arash Komaee
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Hierarchical method for mathematical modeling of stochastic thermal processes in complex electronic systems [PDF]
Компьютерные исследования и моделирование, 2019 A hierarchical method of mathematical and computer modeling of interval-stochastic thermal processes in complex electronic systems for various purposes is developed.
Alexander Georgievitch Madera
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