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NIH Public Access - e-Repositori UPF
We find that the best-fitting values of the dust temperature, Td, and spectral index, ?d, are significantly biased from the mean/median of the ...
New developments in latent variable panel analyses of longitudinal ...
This research aims to understand the influence of temper- ature on TK?TD processes through GUTS modeling, applied to toxicity data of the ...
Robust Multi-Model Fitting using Density and Preference Analysis
We introduce the Vector Fitting algorithm for the creation of reduced-order models from the sampled response of a linear time-invariant ...
A flexible framework for simulating and fitting generalized drift ...
The researchers state that hybrid model shows the best fit to the behavioral data, however it might me just another (better) model-based method ...
Part I: Model Selection & Model Averaging - UiO
The advantage of TD( ) is its low computational burden per step; the advantage of the classical model-based method is that it makes the most of the available.
A comparison of reinforcement learning models of human spatial ...
The model was constructed using mostly TD finite difference (FD) surfaces/solids. However, some complex geometry could not be reproduced with TD primitives ...
Bayesian measures of model complexity and fit
The two time periods TD and T0 are generally thought to reflect sequential events with additive duration (Ratcliff, 1978; Ratcliff, Smith,.
The Decisive Role of Non-Decision Time for Interpreting the ... - HAL
Title: Model-based Data Fi ng. Summary: This invention is potentially relevant in numerous areas/services. Many services rely upon.