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Simulation methods --- Stochastic processes --- Simulation, Méthodes de --- Processus stochastiques --- 519.246 --- #WWIS:STAT --- Random processes --- Probabilities --- Simulation techniques --- System simulation --- Operations research --- Systems engineering --- Models and modelmaking --- Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Simulation methods. --- Stochastic processes. --- Méthodes de simulation --- 519.246 Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- System theory --- Systèmes, Théorie des --- Statistical methods. --- Méthodes statistiques --- Méthodes statistiques --- Simulation, Méthodes de --- Systèmes, Théorie des

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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank.

Stochastic processes

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In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrange interpolation; methods of system representation subject to constraints associated with concepts of causality, memory and stationarity; methods of system representation with an accuracy that is the best within a given class of models; methods of covariance matrix estimation;methods for low-rank

Simulation methods. --- Stochastic processes.