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State Space Model Approach

A self organizing state space model approach for parameter estimation in Hodgkin Huxley type models of single neurons

A self organizing state space model approach for parameter estimation in Hodgkin Huxley type models of single neurons

... and model output. In this study, we approach the problem of parameter estimation in conductance-based models of single neurons from a different ...self-organizing state-space model, ...

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A semiparametric state space model

A semiparametric state space model

... in state space ...semiparametric state space modelling approach that is closer, and somewhat complementary, to the one taken in the current ...Their approach essentially consists ...

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Linear Switching State Space (LS3) Model for Task Scheduling: An Analytical Approach

Linear Switching State Space (LS3) Model for Task Scheduling: An Analytical Approach

... nonlinear state space equations and then mapped to a linear model, while the stability, controllability, observability and stabilizability of task scheduling problem is analytically ...

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Handling arch effects in wind speed data using state space approach model

Handling arch effects in wind speed data using state space approach model

... dated from January 1 st 1985 to December 31 st 2009 covering ten stations in Peninsular Malaysia only due to unavailability of complete wind speed stations. The unit of wind speed data is meter per second (m/s). However, ...

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The Inflation Aversion of the Bundesbank: A State Space Approach

The Inflation Aversion of the Bundesbank: A State Space Approach

... econometric model is modelled as a function of a real valued discrete unobservable Markov ...which state the system is at an assigned time ...in state j at the time t can be ...switching model ...

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A Learning State-Space Model for Image Retrieval

A Learning State-Space Model for Image Retrieval

... an approach based on a state-space model for learning the user concepts in image ...proposed approach based on a state-space model for interactive image retrieval, ...

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A Flexible State Space Model and its Applications

A Flexible State Space Model and its Applications

... likelihood approach assumes W 0 is conformable with the stationary distribu- tion of ARMA ...TVD state vector, the other mainly resorts to the TVD measurement ...them model 1 and 2 ...

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Spacial Equilibrium in a State Space Approach to Demand Uncertainty

Spacial Equilibrium in a State Space Approach to Demand Uncertainty

... Hotelling model of spatial competition can be thought of as one of the earliest problems in information economics: firms make strategic choices (lo- cations/characteristics and prices) without knowing an ...

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A state space modelling approach to population size estimation

A state space modelling approach to population size estimation

... novel state-space modelling formulation that combines the two independent observation processes, live recaptures and distant re- sightings (RES), with a latent system process describing the demographic ...

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A State Space Approach To The Policymaker's Data Uncertainty Problem

A State Space Approach To The Policymaker's Data Uncertainty Problem

... One model would be to assume that the latest vintage subsumes all earlier estimates - in other words that the statistical agency processes data e¢ ...the approach taken in this paper is to estimate the ...

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Space and the Vision–Language Interface: A Model-Theoretic Approach

Space and the Vision–Language Interface: A Model-Theoretic Approach

... In this case, we can have a certain number of boys involved in the corresponding state of affairs, and each of them is described as moving in direction of a rugby field. Yet, if there are several fields at which ...

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Multi-population mortality model in a state-space framework

Multi-population mortality model in a state-space framework

... regression model which comprises of the single age and time effect ...indicated model does not incorporate the inter- relationship between populations, therefore fails to produce coherent forecast in the ...

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A state space model for exponential smoothing with group seasonality

A state space model for exponential smoothing with group seasonality

... an approach is studied that is based on smoothing of the seasonal ...The approach updates level and trend components at the item level, while the seasonal component is updated using a pooled seasonality ...

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Optimization methods for deadbeat control design: a state space approach

Optimization methods for deadbeat control design: a state space approach

... the model-based design procedure of the compensator, and the fact that in practice all the mathematical models of real physical systems are subject to modelling errors, which can severely compromise the robustness ...

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Optimization methods for deadbeat control design: a state space approach

Optimization methods for deadbeat control design: a state space approach

... the model-based design procedure of the compensator, and the fact that in practice all the mathematical models of real physical systems are subject to modelling errors, which can severely compromise the robustness ...

199

An Efficient Filtering Approach to Likelihood Approximation for State-Space Representations

An Efficient Filtering Approach to Likelihood Approximation for State-Space Representations

... While conceptually simple and easy to program, the particle filter suffers two short- comings. First, the density approximations it provides are discrete. As a result, associated likelihood approximations can feature ...

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Machine Tool Dynamics - A constrained state-space substructuring approach

Machine Tool Dynamics - A constrained state-space substructuring approach

... system model identification is ...system model and is more time consuming to ...to model with a finite element model (FEM) approach, since the dynamic properties at the interface of ...

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One Dimensional State Space Approach to Thermoelastic Interactions with Viscosity

One Dimensional State Space Approach to Thermoelastic Interactions with Viscosity

... mathematical model of fractional heat conduction law in which the generalized Fouriers law of heat conduction is modified by using the new Taylors series expansion of time fractional order developed by Jumarie ...

7

The State-Space Model for the Double Heston Model written on two underlying assets

The State-Space Model for the Double Heston Model written on two underlying assets

... The Black-Scholes model which has been used extensively in the past is considered to be successful in asset pricing both in terms of approach and applicability. With the assumption of geometric brownian ...

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Online State Space Model Parameter Estimation in Synchronous Machines

Online State Space Model Parameter Estimation in Synchronous Machines

... new approach based on the Least Squares Error method for estimating the unknown parameters of the 3 rd order nonlinear model of synchronous generators is ...proposed approach uses the mathematical ...

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