• This paper studies the Michaelis–Menten model (MM), which plays an important role in pharmacokinetics, from a theoretical as well as a computational point of view. An analytical method for the nonlinear least squares estimation of the MM is introduced. It is proved that the MM model has not a unique parameter estimation (through the nonlinear least squares), and there is not a unique optimal ...

0501, 0463) Structural Estimation Using Sequential Monte Carlo Methods

The fixed sample size procedure sometimes fail to deal with the estimation problem in which it is desired to control the combined risk associated with the estimation of parameters of various probability distributions simultaneously. In this paper for a general probabilistic model is proposed an “accelerated” sequential class to minimize the combined risk for simultaneous estimation of parameter...

Sequential state estimation has established itself as one of the essential elements of signal processing and control theory. Typically, we think of its use being confined to dynamic systems, where we are given a set of observables and the requirement is to estimate the hidden state of the system on which the observables are dependant. However, when the issue of interest is that of pattern-class...

In this paper, we address the problem of sequential Bayesian model selection. This problem does not usually admit any closed-form analytical solution. We propose here an original sequential simulation-based method to solve the associated Bayesian computational problems. This method combines sequential importance sampling, a resampling procedure and reversible jump MCMC moves. We describe a gene...

this paper extends the sequential learning algorithm strategy of two different types of adaptive radial basis function-based (rbf) neural networks, i.e. growing and pruning radial basis function (gap-rbf) and minimal resource allocation network (mran) to cater for on-line identification of non-linear systems. the original sequential learning algorithm is based on the repetitive utilization of s...

modern computerized technology enables more complex visual stimuli and test procedures to be in-corporated into conventional perimetry resulting in several developments in automated perimetry that have contributed to more efficient diagnosis and management of eye diseases. this review will cover a number of advances in automated perimetry including frequency doubling technology perimetry, short...

Sequential decision-making is a noticeable feature of strategic interactions among agents. The full estimation of sequential games, however, has been challenging due to the sheer computational burden, especially when the game is large and asymmetric. In this paper, I propose an estimation method for discrete choice sequential games that is computationally feasible, easy-to-implement, and e¢ cie...