Logistic Regression
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
A statistical method used to predict a binary outcome based on prior observations, modeling the probability of an event as a function of independent variables.
A design approach that uses data, algorithms, and predictive analytics to anticipate user needs and behaviors, creating more personalized and effective experiences.
The study of strategic decision making, incorporating psychological insights into traditional game theory models.
The study of how psychological influences affect financial behaviors and decision-making.
A behavior where users repeatedly bounce back and forth between a search engine results page and individual search results.
A theory that explains how individuals determine the causes of behavior and events, including the distinction between internal and external attributions.
The theory that people adjust their behavior in response to the perceived level of risk, often taking more risks when they feel more protected.
The tendency to overestimate how much our future preferences and behaviors will align with our current preferences and behaviors.
The act of designing and implementing subtle interventions to influence behavior in a predictable way.