Sentence examples for methods from statistical from inspiring English sources

This paper addresses detection of oestrus in dairy cows using methods from statistical change detection.

We used methods from statistical physics and network theory to identify groups in the network structure that emerge from user interaction, and linked this to word frequencies in the messages generated by each user.

The emerging subfield of econophysics explores the degree to which certain concepts and methods from statistical physics can be appropriately modified and adapted to provide new insights into questions that have been the focus of interest in the economics community.

Using methods from statistical learning theory to develop digital soil maps is much more efficient and precise while regionalising soil diagnostic properties instead of complex entities such as the soil units assigned by the WRB.

Using methods from statistical physics, we can find the distribution of population fitness at equilibrium (shown above), and thus derive a likelihood model that gives the probability of the observed data for each couplet (ne/Q, fref), in which ne is the phenotypic complexity, Q a parameter of the curvature of the fitness surface, and fref the maximum attainable fitness.

Conversely approximate probabilistic approaches decide if a model is valid based on methods from statistical theory using only a finite set of simulations.

A recent breakthrough was achieved by applying methods from statistics and statistical physics that aim at disentangling direct couplings from mere correlations between MSA columns (Ekeberg et al., 2013; Kamisetty et al., 2013; Marks et al., 2011; Weigt et al., 2009).

The effectiveness of the proposed model is validated by comparing to the results of Monte-Carlo method from statistical viewpoint.

Tanaka obtained a formula for the normalized sum capacity by applying the replica method from statistical physics to this problem [39].

In previous work, we employed finite-size scaling, a method from statistical mechanics, to explore the crossover from the SAT regime of K-SAT, where almost all randomly generated expressions are satisfiable, to the UNSAT regime, where almost all are not.

We show by means of simulation experiments on synthetic data that our approach outperforms both regression and a reference method from statistical literature for dealing with incomplete data, multiple imputation (Rubin, 1976 19966).