Bayesian forecasting of parts demand
Keywords: مدل های فضایی دولتی; Bayesian methods; Demand forecasting; Forecasting practice; State space models; Supply chain
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Incorporating a tracking signal into a state space model
Keywords: مدل های فضایی دولتی; Exponential smoothing; Monitoring forecasts; Structural change; Adjusting forecasts; State space models; Damped trend
Subspace closed loop identification using the integration of MOESP and N4SID methods
Keywords: مدل های فضایی دولتی; Subspace identification; closed loop identification; state space models
Identification of errors-in-variables state space models with observation outliers based on minimum covariance determinant
Keywords: مدل های فضایی دولتی; Subspace system identification; Errors-in-variables; State space models; Outliers; Minimum covariance determinant; Random search algorithm
Vibration analysis diagnostics by continuous-time models: A case study
Keywords: مدل های فضایی دولتی; Condition monitoring; Vibration analysis; Continuous time; State space models; Kalman filter
Dynamic linkages among equity markets in the Middle East and North African countries
Keywords: مدل های فضایی دولتی; F36; G15Emerging markets; MENA capital markets; State space models
Business cycle analysis and VARMA models
Keywords: مدل های فضایی دولتی; E32; C15; C52; Structural VARs; VARMA; State space models; Business cycles;
Forecasting time series with multiple seasonal patterns
Keywords: مدل های فضایی دولتی; Forecasting; Time series; Exponential smoothing; Seasonality; State space models
Asymptotic properties of particle filter-based maximum likelihood estimators for state space models
Keywords: مدل های فضایی دولتی; primary, 62M09; secondary, 62F12Asymptotic normality; Consistency; Hidden Markov model; Maximum likelihood; Particle filter; Sequential Monte Carlo methods; State space models
SSWN LEARNING ALGORITHMS WITH APPLICATION TO WWTP
Keywords: مدل های فضایی دولتی; Learning algorithms; Global optimization; Neural network models; State space models
Dimensionally reduced Krylov subspace model reduction for large scale systems
Keywords: مدل های فضایی دولتی; Krylov subspace; Oblique projection; Principal component analysis; State space models
Bayesian statistical data assimilation for ecosystem models using Markov Chain Monte Carlo
Keywords: مدل های فضایی دولتی; Marine ecosystem models; Data assimilation; State space models; Monte Carlo; Prediction; MCMC; Ensemble Kalman filter; Sequential importance resampling; Ecological statistics; Stochastic models; Particle filters; Non-Gaussian; Differential equations
Auxiliary mixture sampling with applications to logistic models
Keywords: مدل های فضایی دولتی; Binary data; Categorical data; Markov chain Monte Carlo; Random-effects models; State space models; Utilities
Signal extraction and filtering by linear semiparametric methods
Keywords: مدل های فضایی دولتی; Linear mixed models; Penalised least squares; State space models; Smoothing
Single source of error state space approach to the Beveridge Nelson decomposition
Keywords: مدل های فضایی دولتی; C22; C51; E32; Beveridge Nelson decomposition; Long-run multiplier; Single source of error; State space models;
Model-based predictive anti-jerk control
Keywords: مدل های فضایی دولتی; Automotive control; Torque control; State space models; Root locus; Observers; System identification; Time varying systems
An overview of subspace identification
Keywords: مدل های فضایی دولتی; Subspace identification; Closed-loop identification; Overview; State space models; Causal model; Practice
Controllable, observable and stable state space representations of a generalized order-up-to policy
Keywords: مدل های فضایی دولتی; Observability; Controllability; Order-up-to policy; Production and inventory control; State space models; Bullwhip;
Modulated cycles, an approach to modelling periodic components from rapidly sampled data
Keywords: مدل های فضایی دولتی; Unobserved components models; State space models; Periodicity; Seasonality; Kalman Filter; Fixed Interval Smoothing; Noise variance ratio; Modulation
The inflation aversion of the Bundesbank: A state space approach
Keywords: مدل های فضایی دولتی; C22; E58; Taylor rule; State space models; Markov switching models; Kalman filter;
Multivariate discount weighted regression and local level models
Keywords: مدل های فضایی دولتی; Time series; Dynamic linear models; Kalman filter; State space models; Discount weighted regression; Bayesian forecasting; Local level models