[PDF] Top 20 Imagen, fotografía y crítica social

... two-phase Monte Carlo sampling procedure, allowing a distinction between knowledge and stochastic ...gives data of fundamental significance for an understanding of the practical design ... See full document

... clinical data was affected by the degree of the surface ...remaining. Surface preparations are necessary to enable the cream to penetrate however the degree of curettage is varied between different ... See full document

... the data sets ...cumulation modelling, and also consideration of appropriate methods for spatially autocorrelated uncertainty ...the response of a system (for example, increases in air tem- ...out ... See full document

... compaction effects. Sources of the variation of the gap width include precision of the lay-up, variability in tow width, presence of unintended gaps between tows and possible measurement errors which stem from the ima- ... See full document

... agree allows us to estimate the difference in size of the fixed- node error in the energy per electron between bulk and slab systems; this is of the order of 1 mHa per electron and does not decrease as s increases 共as ... See full document

... In this paper we present quasirandom approach for ultrafast carrier transport simulation. Due to cor- relation, the direct quasirandom variants of Monte Carlo methods do not give adequate results. Instead ... See full document

... The data analyzed herein present a unique challenge in terms of modeling because there is a strong spatial component to Bd ar- rival time and the traditional proportional hazards assumption is grossly ...chain ... See full document

... One important point is that these methods could be used for resonance range analysis (both resolved and unresolved resonance) as well as higher energy models. In addition, both microscopic integral data ... See full document

... comparing data (full circles) to Monte Carlo (histograms): the presence of three leptons in the final states reduces most of the backgrounds, making possible to relax the lepton p T cuts with respect ... See full document

... a synthetic data study supports the use of the method. The paper also presents two real cases where the method is used. In these cases, it is harder to draw unambiguous conclusions since the true correlation is ... See full document

... chain Monte Carlo methods are often deemed too computationally intensive to be of any practical use for big data applications, and in particular for inference on datasets containing a large number n ... See full document

... behavior. Circuits of the network are translated into Ordinary Differential Equations (ODE). The initial values are educated guesses from what we know about the biological process. For example we know that the ... See full document

... In this 80 context, dosage regimens can be optimised through integration of PK-PD targets, derived from 81 both PK data and exposure-response data, with Monte Carlo simulation to predict[r] ... See full document

... the Monte Carlo error propagation method, ...each data point as the mean of a random variable, then draw a new value for each data point given its distribu- ...the data point and ... See full document

... In addition to traditional design modifications, identification of alternative means and arrangements such as operational measures and emergency response measures gives credit to their benefit based on their ... See full document

... these data using Bayesian probabilistic matrix factorisation (BPMF) (Salakhutdinov and Mnih, 2008), where the preference matrix of user-item ratings is factorised into lower-dimensional matrices representing the ... See full document

... In this paper, we investigate three existing methods for outperforming MC, namely, multilevel Monte Carlo (MLMC) [3], quasi-Monte Carlo (QMC) [4] and multilevel quasi-Monte Carlo ... See full document

... The transition metal 共 TM 兲 oxygen bond appears very prominently throughout chemistry and solid-state physics. Many materials, from biomolecules to ferroelectrics to the components of supernova remnants, contain this ... See full document

... Tracking a group of targets in video sequences has many surveillance applications. It has been used for security monitoring [1], [2], as well as for traffic flow measuring [3], accident detection on high- ways, and ... See full document

... The Bayesian modelling approach gives a rigorous framework for including expert knowledge into the estimation process through prior distributions. Any beliefs regarding the nature of the parameter values, and ... See full document