We develop a new method for stochastic optimization using the Bayesian statistics approach. More precisely, we optimize parameters of chess engines as those data are available to us, but should apply all situations where want certain gain/loss function which has no analytical form and thus cannot be measured directly only by comparison two parameter sets. also experimentally compare with famous...

Photon conversion embodies a range of promising possibilities in pushing the theoretical Shockley–Queisser efficiency model classical solar cells. Luminescent down-conversion, despite its potential, is held back practical applications due to difficulty proper characterization no small part because concurrent luminescent downshifting events. Recent advances have demonstrated opportunity provided...

Bayesian evidence is a key tool in model selection, allowing comparison of models with different numbers parameters. Its use the analysis cosmological has been limited by difficulties calculating it, current numerical algorithms requiring supercomputers. In this paper we give exact formulae for case Gaussian likelihoods arbitrary correlations and top-hat priors, approximate likelihood distribut...