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Related Concept Videos

Probability Distributions01:32

Probability Distributions

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 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
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A random variable is a single numerical value that indicates the outcome of a procedure. The concept of random variables is fundamental to the probability theory and was introduced by a Russian mathematician, Pafnuty Chebyshev, in the mid-nineteenth century.
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Regression Toward the Mean01:52

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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Related Experiment Videos

Variations on a theme by Rachlin: Probability discounting.

Peter R Killeen1

  • 1Arizona State University.

Journal of the Experimental Analysis of Behavior
|December 20, 2022
PubMed
Summary
This summary is machine-generated.

This study critiques the equivalence of probabilistic and delayed goods discounting, proposing a new model. The research introduces a conjoint measurement approach to better understand probability discounting in intertemporal choice.

Keywords:
additive utility theorydelay discountingprobability discountingsubjective probabilityutility

Related Experiment Videos

Area of Science:

  • Behavioral Economics
  • Decision Science
  • Cognitive Psychology

Background:

  • Previous research treated discounting of probabilistic goods as equivalent to discounting of delayed goods.
  • This approach, while influential, has been identified as problematic in its original formulation.

Purpose of the Study:

  • To critically evaluate the established framework for probabilistic goods discounting.
  • To develop and validate a more accurate model for understanding probability discounting in intertemporal choice.

Main Methods:

  • The study re-examines the conversion of probability to delay, identifying the omission of trial duration.
  • It employs conjoint measurement, treating discounting as a psychophysical matching experiment.
  • A model is proposed where utility of amount is multiplied by the weight of probability.

Main Results:

  • The proposed model, incorporating a logarithmic transform for amount and a Prelec function for probability, accurately accounts for diverse probability discounting data.
  • Empirical evidence suggests probability and delay discounting are distinct, differing in their functional relationships with variables like outcome magnitude.

Conclusions:

  • The findings challenge the direct subsumption of probability discounting under delay discounting.
  • A refined model offers a parsimonious and effective account of probabilistic intertemporal choice.
  • Integrating this probabilistic model with delay discounting theory provides a comprehensive framework for intertemporal decision-making.