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Her main methodological contributions are in statistical finance focusing on stochastic volatility modelling and estimation based on high-frequency data and in spatio-temporal statistics dealing with simulation and inference for ambit fields.
The simulation and inference procedure was carried out 100 times for each of these models.
Fast simulation and inference methods are essential for simulation studies to be computationally feasible.
If phylogenetic inference is statistically consistent in the presence of MSA uncertainty we expect two key properties to hold when the simulation and inference model are the same.
The formulation of the reduced model (5) allows our simulation and inference to be relatively insensitive to the antibody generation process described by μ.
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ABC simulations and inference were identical to those in the simulation study, with the same number of markers (see also File S1).
Hence, STI-GMaS has the potential to facilitate model simulation, parameterisation and inference within the same software package.
Given the divergent outputs obtained in the current study and in other studies, we argue that C cycle simulations and inferences should not be based on any single model but rather on the integration of multiple models with complex simulation design.
Based on the event schema, we have implemented a dynamic model of events capable of simulation and causal inference.
The MOEA was designed to include a hybrid model that combines Monte-Carlo simulation and fuzzy inference.
A new class of discrete random fields designed for quick simulation and covariance inference under inhomogeneous conditions is introduced and studied.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com