<p>The parameters , and for a discrete random walk model (fig. 4a), the two parameters describing the inverse Gaussian distribution or the normal distributions were optimised as described in the text. The optimum probability distributions were then used to predict efflux. The results for a representative experiment (R797) are shown.</p
A detailed study of first- and second-order approximations to the first passage time conditional pro...
<p>The filled symbols represent the deterministic prediction and the empty symbols the stochastic pr...
<p>The solid blue line represents the optimal combination of parameter values, whose distribution of...
Three methods for fitting the diffusion model (Ratcliff, 1978) to experimental data are examined. Se...
<p>Subfigures (A)–(C) show the FPT measures mean, median and probabilities of FPT above six hours fo...
RW simulation (a) Scenario I: with , . The ω profile’s mean and standard deviation for the 10,000 si...
<p>Each sampled training set is optimised over to determine the necessary extent of smoothing, and ...
This paper develops tests for comparing the accuracy of predictive densities derived from (possibly ...
A procedure is indicated to estimate first-passage-time p.d.f.'s through varying boundaries for a cl...
As the strength of a stimulus increases, the proportions of correct binary responses increases, whic...
This article makes two contributions. First, we outline a simple simulation-based framework for cons...
The inverse Gaussian distribution is investigated as a basis for statistical analyses of skewed and ...
<p>Here, we show an example-distribution for a persistent random walk scenario with the parameters ...
Correlation measures are used in a range of applications to quantify the similarity between time-ser...
In this paper, we discuss the issue of the choice of distribution in MMNL models in the absence of a...
A detailed study of first- and second-order approximations to the first passage time conditional pro...
<p>The filled symbols represent the deterministic prediction and the empty symbols the stochastic pr...
<p>The solid blue line represents the optimal combination of parameter values, whose distribution of...
Three methods for fitting the diffusion model (Ratcliff, 1978) to experimental data are examined. Se...
<p>Subfigures (A)–(C) show the FPT measures mean, median and probabilities of FPT above six hours fo...
RW simulation (a) Scenario I: with , . The ω profile’s mean and standard deviation for the 10,000 si...
<p>Each sampled training set is optimised over to determine the necessary extent of smoothing, and ...
This paper develops tests for comparing the accuracy of predictive densities derived from (possibly ...
A procedure is indicated to estimate first-passage-time p.d.f.'s through varying boundaries for a cl...
As the strength of a stimulus increases, the proportions of correct binary responses increases, whic...
This article makes two contributions. First, we outline a simple simulation-based framework for cons...
The inverse Gaussian distribution is investigated as a basis for statistical analyses of skewed and ...
<p>Here, we show an example-distribution for a persistent random walk scenario with the parameters ...
Correlation measures are used in a range of applications to quantify the similarity between time-ser...
In this paper, we discuss the issue of the choice of distribution in MMNL models in the absence of a...
A detailed study of first- and second-order approximations to the first passage time conditional pro...
<p>The filled symbols represent the deterministic prediction and the empty symbols the stochastic pr...
<p>The solid blue line represents the optimal combination of parameter values, whose distribution of...