Sentence examples for inverse inference from inspiring English sources

A view about chance which does not include this connection will have a very difficult time explaining why the principles of direct and inverse inference (i.e., inference from actual statistics of outcomes to chance, and vice versa) in statistical hypothesis testing work at all (Hacking, 1965; Ismael, 1996; Eells, 1983).

The current models of active Structure-from-Motion (SfM) are based on the Helmholtzian account of perception as inverse inference [1] [5].

This study relies on inverse inference in some degrees in interpreting the brain activations during this process.

From the rth (r = 1,2,..., R) macro-replication, a one-sided 95% CI was constructed for BMD(c q ), q = 1,2,3, following the bootstrapping resampling method (Inverse Estimation and Inference); the lower bound of the one-sided CI is called BMDL.

In active inference, this inverse process occurs in the spinal cord in optimal control, this inversion is assigned to the cortex.

Based on this free-energy principle, simulations have demonstrated how spatially selective attention can be understood as a function of precision (confidence or inverse uncertainty) during perceptual inference: attentional selection serves to increase the precision of sensory channels, enabling faster responses to attended stimuli (Feldman and Friston 2010).

Under normality, one formulation of SSBR yields results identical to SS-BLUP, but does not require computing G or its inverse and provides richer inferences.

In this review article, we propose to use the Bayesian inference approach for inverse problems in signal and image processing, where we want to infer on sparse signals or images.

Furthermore, the observation that GSK opened the wild-type channel completely allows inference from the inverse of the ensemble GSK-activated responses (See Discusion).

Another approach from the causal inference literature is inverse probability of treatment (or propensity score) weighting [ 48, 49].

The key aspect of the problem of inference which is an inverse problem, that is, to infer value parameters based on measurements, resides on being able to make explicit any available a priori information about the system being modeled.