The following text field will produce suggestions that follow it as you type.

Home

Barnes and Noble

Fixed Interval Smoothing for State Space Models

Unfortunately, this item is no longer available, but we found some similar items you might like.

You May Also Like

Fixed Interval Smoothing for State Space Models / Edition 1
Barnes and Noble

Fixed Interval Smoothing for State Space Models / Edition 1

From Barnes and Noble
Term Structure Modeling and Estimation in a State Space Framework
Barnes and Noble

Term Structure Modeling and Estimation in a State Space Framework

From Barnes and Noble
Multivariate Time Series With Linear State Space Structure
Barnes and Noble

Multivariate Time Series With Linear State Space Structure

From Barnes and Noble
Testing for Random Walk Coefficients in Regression and State Space Models
Barnes and Noble

Testing for Random Walk Coefficients in Regression and State Space Models

From Barnes and Noble
State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications
Barnes and Noble

State-Space Models with Regime Switching: Classical and Gibbs-Sampling Approaches with Applications

From Barnes and Noble
Periodic Time Series Models
Barnes and Noble

Periodic Time Series Models

From Barnes and Noble
Discrete-Time and Discrete-Space Dynamical Systems
Barnes and Noble

Discrete-Time and Discrete-Space Dynamical Systems

From Barnes and Noble
Time Series Analysis by State Space Methods: Second Edition / Edition 2
Barnes and Noble

Time Series Analysis by State Space Methods: Second Edition / Edition 2

From Barnes and Noble
Finite-Time Stability Tools for Control and Estimation
Barnes and Noble

Finite-Time Stability Tools for Control and Estimation

From Barnes and Noble
Event-based state-feedback control
Barnes and Noble

Event-based state-feedback control

From Barnes and Noble
Recursive Streamflow Forecasting: A State Space Approach / Edition 1
Barnes and Noble

Recursive Streamflow Forecasting: A State Space Approach / Edition 1

From Barnes and Noble
Linearization Methods for Stochastic Dynamic Systems
Barnes and Noble

Linearization Methods for Stochastic Dynamic Systems

From Barnes and Noble
Linear Stochastic Systems with Constant Coefficients: A Statistical Approach
Barnes and Noble

Linear Stochastic Systems with Constant Coefficients: A Statistical Approach

From Barnes and Noble
Tracking with Particle Filter for High-dimensional Observation and State Spaces / Edition 1
Barnes and Noble

Tracking with Particle Filter for High-dimensional Observation and State Spaces / Edition 1

From Barnes and Noble
Estimation and Prediction for Certain Models of Spatial Time Series
Barnes and Noble

Estimation and Prediction for Certain Models of Spatial Time Series

From Barnes and Noble
Fluctuations Markov Processes: Time Symmetry and Martingale Approximation
Barnes and Noble

Fluctuations Markov Processes: Time Symmetry and Martingale Approximation

From Barnes and Noble
Powered by Adeptmind