Sentence examples for modeling and inference from inspiring English sources

The MLFD is shown to be log-concave and this confers a number of attractive properties for modeling and inference; see Walther (2009) for a good review of statistical modeling and inference with log-concave distributions.

In 1986, there is a rebirth of connectionism at the same time that an emphasis in knowledge modeling and inference, both symbolic and connectionist.

Recent advances in modern physics and biology reveal several scenarios in which top-down effects (Ellis, 2016) and anticipatory systems (Rosen, 1980) indicate processes at work enabling active modeling and inference such that anticipated effects project onto potential causes.

During the past many years, order statistics which is used to deal with properties and applications of ordered random variables and of functions of these variables appears in many statistical applications and are widely used in statistical modeling and inference based on some suitable functions of the order statistics.

Among these methods, Bayesian networks have been used since the advent of microarray technologies for GRN modeling and inference [16].

Significant advances have been made with Bayesian approaches, which allow flexible modeling and inference, and provide computational advantages over frequentist analyses via the implementation of Markov chain Monte Carlo (MCMC) methods [17].

Experts debated its value, but their views were largely based on less compelling data that often involved statistical modeling and inferences.

These two steps are referred to as modelling and inference respectively.

Modelling and inference using standard general linear model (GLM) design set-up was accomplished using permutation test (5000 permutation) as implemented in FSL [17].

Modelling and inference can use the empirical Bayesian (EB) approach via penalised likelihood techniques [25].

Modelling and inference use the empirical Bayesian approach via penalized likelihood technique.