scientific article
From MaRDI portal
Publication:3996161
zbMath0732.62088MaRDI QIDQ3996161
No author found.
Publication date: 17 September 1992
Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.
solutionslinear systemsfrequency domaintime domainautoregressive processesstate-space modelsstationary processesexercisesbivariate processes
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Inference from stochastic processes and spectral analysis (62M15) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) Identification in stochastic control theory (93E12)
Related Items (48)
Bayesian analysis of seasonal variation when the sample size and the amplitude are small ⋮ Graphical modelling and partial characteristics for multitype and multivariate-marked spatio-temporal point processes ⋮ Nonparametric Bayesian inference for the spectral density based on irregularly spaced data ⋮ Greater signal regularity may indicate increased system isolation ⋮ Consistent nonlinear dynamics: identifying model inadequacy ⋮ Periodogram analysis with missing observations ⋮ Prediction of sea surface temperature in the tropical Atlantic by support vector machines ⋮ Dependent error regression smoothing: A new method and PC program ⋮ Evaluating forecasting performance for interval data ⋮ Chebyshev similarity match between uncertain time series ⋮ Estimation of reproduction number and non stationary spectral analysis of dengue epidemic ⋮ An extended data envelopment analysis for the decision-making ⋮ A new index for measuring seasonality: a transportation cost approach ⋮ The impact of special days in call arrivals forecasting: a neural network approach to modelling special days ⋮ Wavelet neural networks functional approximation and application ⋮ Analysing Multivariate Spatial Point Processes with Continuous Marks: A Graphical Modelling Approach ⋮ A Bayesian nonparametric approach for time series clustering ⋮ Modeling intensive polytomous time-series eye-tracking data: a dynamic tree-based item response model ⋮ Quantum dissipation and the virial theorem ⋮ Kazantsev model in non-helical 2.5-dimensional flows ⋮ Wireless network capacity management: a real options approach ⋮ Approximate Entropy as an Irregularity Measure for Financial Data ⋮ Approximate Bayesian inference in semi-mechanistic models ⋮ The Wiener-Khinchin theorem and recurrence quantification ⋮ Analyzing growth components in trees ⋮ SPECTRAL ANALYSIS OF A STATIONARY BIVARIATE POINT PROCESS WITH APPLICATIONS TO NEUROPHYSIOLOGICAL PROBLEMS ⋮ The spectral envelope and its applications. ⋮ Efficient data allocation for frequency domain experiments ⋮ On robust forecasting in dynamic vector time series models ⋮ Cross-spectral properties of a spatial point-lattice process ⋮ CLUSTERING FUNCTIONAL DATA USING WAVELETS ⋮ Goodness-of-fit and confidence intervals of approximate models ⋮ Changes in the behavior of output in the United Kingdom, 1856-1990 ⋮ Bifurcation structures and dominant modes near relative equilibria in the one-dimensional discrete nonlinear Schrödinger equation ⋮ State realization with exogenous variables -- a test on blast furnace data ⋮ OPTIMAL QUADRATIC UNBIASED ESTIMATION FOR MODELS WITH LINEAR TOEPLITZ COVARIANCE STRUCTURE ⋮ Learning and approximate inference in dynamic hierarchical models ⋮ Autoregressive generalized linear mixed effect models with crossed random effects: an application to intensive binary time series eye-tracking data ⋮ On the thermal equilibrium state of large-scale flows ⋮ Space-time forecasting using soft geostatistics: a case study in forecasting municipal water demand for Phoenix, Arizona ⋮ Neural networks and some applications to finance ⋮ The application of prediction capability and adaptive target control to the newspaper business ⋮ Time scales in stochastic multiregional models ⋮ Generalized Riemann hypothesis, time series and normal distributions ⋮ Estimation of positive definite \(M\)-matrices and structure learning for attractive Gaussian Markov random fields ⋮ Randomness of Möbius coefficients and Brownian motion: growth of the Mertens function and the Riemann hypothesis ⋮ Vector forecasting and dynamic portfolio selection: Empirical efficiency of recursive multiperiod strategies ⋮ Modeling Dependence in Spatio-Temporal Econometrics
This page was built for publication:
