Sentence examples for generate convergence from inspiring English sources

This provides predictions about which mechanisms will generate convergence to their efficient equilibrium allocations.

The decision to do this was based on a mixture of beliefs: skepticism toward market-failure type arguments for harmonization; optimism concerning the capacity of the common market to generate convergence on wages and incomes of its own accord; and confidence in the strength of political pressures within member states for the maintenance of effective labor standards and welfare state systems.

Thus, public reason is mixed with a sociological thesis about the ability of spontaneous order processes to generate convergence on a single member of an (optimal) eligible set.

We ran two independent MCMC chains for each analysis, and used the included bpcomp and tracecomp programs to generate convergence diagnostics.

Rather than generating convergence, biological evolution produces diversity.

Several works highlight that the monetary policy followed by EMU could have generated convergence effects also at regional level, due to its effect on expectations and other factors.

There is also a potential link between the gene and ecological function and a potential mechanism generating convergence: selection as a result of demand for high-performance energy metabolism in these lineages.

If nationhood offers the clearest route to generate converging preferences on units, so too competing nationhood offers the clearest route to disrupt that convergence, generating the need for models of multination states that seek to ensure fairness amongst the competing national groups in their ability to enact their national identities (through language rights and self-government powers etc).

On the one hand, it is thought central to the concept of evidence that evidence is by its very nature the kind of thing that can generate rational convergence of opinion in virtue of being shared by multiple individuals.

This method produced the same tree topology, and similar or even stronger support for internal branches, as evaluated by posterior probabilities derived from trees sampled every 500 generations from a 10-million generations Markov Chain Monte Carlo series, with a burn-in time of 250000 generations that removed any trees generated before convergence had been reached.

It's hard to capture customers' demands and grasp their preferences, generating slow convergence speed and heavy user fatigue.