Sentence examples for Prior outcomes from inspiring English sources

Training data matches historical sensor data with prior outcomes to calibrate the algorithms at the heart of the prediction machine.

Ignoring prior outcomes, no overall changes in risk-taking were observed.

Here, AI can enable forecasting based on underlying causal drivers of demand rather than prior outcomes, improving forecasting accuracy by 10-20%.

The information provider needs to be able to refine or reformulate her search in order to quickly follow new directions based on prior outcomes.

Indeed, the literature suggests that prior outcomes often play a critical role in the plausibility of a "selection on observed variables" identification strategy.

It compared closed and welcoming school students' mobility, attendance, suspensions, core GPA, and test scores after the closings to their prior outcomes and to those of students in similar schools to understand the effect of the closings.

When we introduced a forced sale intervention that is designed to close the mental account for a prior outcome, Americans showed greater adaptation toward the new price than their Asian counterparts.

One well-known class of such process are Markov chains, which produce a discrete sequence of outcomes with the property that the value of an outcome is dependent on the value of the immediately prior outcome (but that immediately prior outcome screens off the rest of the history).

γ is, therefore, expected to be higher when information about probabilities and outcomes are ambiguous or not readily available, or when a very severe negative prior outcome is recalled [ 2, 32, 33].

Risk adjustment, overall betting, and decision latencies in active-choice trials were calculated trials after a win and after a loss separately, and analyzed using a 2 (prior outcome) × 3 (group) mixed-model ANOVA.

The main analytic methodology for the primary outcomes, GLMMs via maximum likelihood estimation, implicitly accommodates missingness when it is due either to treatment, to prior outcome, or to other baseline covariates included in the model, defined as 'missing at random' [ 53].