[PDF] Top 20 A canonical space-time state space model: state and parameter estimation
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A canonical space-time state space model: state and parameter estimation
... itself to systems which are observed at a reasonably small number of observation locations but which are heavily sampled in time. For example, in oesophageal station manometry [10], a small number of pressure ... See full document
10
A self organizing state space model approach for parameter estimation in Hodgkin Huxley type models of single neurons
... the model, given the available experimental data and prior ...the parameter space and they potentially have multiple modes (or local ...the parameter posteriors), which could subsequently be ... See full document
32
Particle Approximations of the Score and Observed Information Matrix for Parameter Estimation in State Space Models With Linear Computational Cost
... density estimation and Rao-Blackwellisation to yield estimates of both the score vector and the observed information matrix which display only linearly increasing variance, which is achieved at a linear computa- ... See full document
32
Online State Space Model Parameter Estimation in Synchronous Machines
... In this paper, the theoretical relation based approach, which uses the known least square error method, has been presented to identify the nonlinear 3 rd order synchronous generator state space model ... See full document
9
Markov chain Monte Carlo methods for state space models with point process observations
... this model, Smith and Brown (2003) derived an approx- imate expectation-maximization (EM) algorithm for parameter estimation and state ...SSPP model that provides a computationally ... See full document
26
Parameter Estimation and Control of Induction Machine using a new Recursive Algorithm
... Two schemes control for induction machine are proposed and com- pared. A new off-line recursive algorithm is used to estimate the parameters of a commercial 1 kW induction motor, which is de- scribed by a multivariable ... See full document
5
A state space modelling approach to population size estimation
... ecology state-space models may be used to model noisy counts of individuals from a population and to explain the temporal dynamics with an underlying species-specific demographic ...the ... See full document
28
State-space estimation of soil organic carbon stock
... prediction, estimation and management of soil within a ...and state-space analysis were conducted on the analyzed soil ...semivariogram model described the structure of soil organic carbon ... See full document
10
Market Risk Beta Estimation using Adaptive Kalman Filter
... autoregressive model of time varying beta and has been explained in the section models for beta ...beta estimation assumes the state noise covariance and measurement noise covariance to be ... See full document
12
Estimation of bubble dynamics in the Chinese real estate market: a state space model
... Xu and Chen (2012) also argue that Chinese monetary policy actions are the key driver of real estate price growth in in China over the period 1998 to 2009. They examine the impact of monetary policy variables which ... See full document
18
State-space modeling and estimation for multivariate brain signals
... better time-frequency ...in time precedence of a signal, while the correlation between regions is ignored [23, ...univariate model to multivriate modeling [25]. Using mutivariate model, the ... See full document
59
Parameter and state estimation with a time-dependent adjoint marine ice sheet model
... steady state of the continuity equation into account. Their forward model contains the full Stokes stress balance without approxima- ...mean state (Gudmundsson, ...a time-evolving adjoint ... See full document
20
Multiplicative State Space Models for Intermittent Time Series
... where α is the smoothing constant. The advantage of filters is in their sim- plicity and the small number of assumptions. For example, SES is very easy to interpret and can be used without assuming normality of the ... See full document
44
Initial Values in Estimation Procedures for State Space Models (SSMs)
... a parameter is not always allocated in the low frequency ...optimal estimation on system parameters utilising the information provided by a histogram diagram indirectly through the grid search approach, it ... See full document
7
Phenomenological modeling of the human tongue and lips
... the estimation of the states and input signals, two different algorithms have been derived and ...is time-consuming and that the matri- ces might become too large in case of high-dimensional ...test ... See full document
96
Fast sequential parameter inference for dynamic state space models
... a time dependent data set. On one hand, one can fit a model for the whole data set and estimate the unknown ...Classical time series developed by Box et ...general state-space models ... See full document
193
Use of Extended Kalman Filter in Estimation of Attitude of a Nano-Satellite
... nonlinear model with Extended Kalman filter ...of state estimation for a satellite determination in the space, based upon the value of readings of Magnetometer and Sun ... See full document
6
Generalized Estimation of Missing Observations in Nonlinear Time Series Model Using State Space Representation
... for estimation of missing ob- servations in time series Analysis, have been limited to the case of one or two consecutive missing ...the state space models which can handle irregularly spaced ... See full document
8
Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering
... to model the temporal correlation of the ...novel time-observation state-space model (TOSSM) that describes the dynamics of the addressed multiuser ... See full document
12
Estimation of Unobserved Inflation Expectations in India Using State Space Model
... longer time period is ...long time series of monthly infla- tion and 91-days treasury bill rate are available for ...longer time series of inflation expectations for ... See full document
9
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