Results 31 to 40 of about 741,544 (321)

WEIGHTING IMPORTANCE SAMPLING METHOD FOR STRUCTURAL TIME-DEPENDENT FAILURE PROBABILITY FUNCTION ESTIMATION

open access: yesJixie qiangdu, 2023
Time-dependent failure probability function(TDFPF) of parameters is one of the key problems of structural time-dependent reliability-based optimization.
QIAN YuGeng, YUAN XiuKai, CHEN JingQiang
doaj  

Discriminating among probability weighting functions using adaptive design optimization [PDF]

open access: yesJournal of Risk and Uncertainty, 2013
Probability weighting functions relate objective probabilities and their subjective weights, and play a central role in modeling choices under risk within cumulative prospect theory. While several different parametric forms have been proposed, their qualitative similarities make it challenging to discriminate among them empirically.
Daniel R, Cavagnaro   +3 more
openaire   +2 more sources

Prospect theory: A parametric analysis of functional forms in Brazil

open access: yesRAE: Revista de Administração de Empresas, 2017
This study aims to analyze risk preferences in Brazil based on prospect theory by estimating the risk aversion parameter of the expected utility theory (EUT) for a select sample, in addition to the value and probability function parameter, assuming ...
Robert Eugene Lobel   +3 more
doaj   +3 more sources

Music-evoked incidental happiness modulates probability weighting during risky lottery choices

open access: yesFrontiers in Psychology, 2014
We often make decisions with uncertain consequences. The outcomes of the choices we make are usually not perfectly predictable but probabilistic and the probabilities can be known or unknown.
Stefan eSchulreich   +6 more
doaj   +1 more source

Risk Attitude in the DuLong Minority Ethnicity of China

open access: yesFrontiers in Psychology, 2021
Prospect theory predicts a four-fold risk attitude, which means that people are risk seeking for low-probability gain and high-probability loss and risk averse for low-probability loss and high-probability gain because they overweight probability when it
Lili Tan, Siyuan Li, Xiaomin Zhang
doaj   +1 more source

Feedback Influences Discriminability and Attractiveness Components of Probability Weighting in Descriptive Choice Under Risk

open access: yesFrontiers in Psychology, 2019
Our understanding of the decisions made under scenarios where both descriptive and experience-based information are available is very limited. Underweighting of small probabilities was observed in the gain domain when both description and experience were
Shruti Goyal, Krishna P. Miyapuram
doaj   +1 more source

Polypharmacy Associated with Cognitive Decline in Newly Diagnosed Parkinson’s Disease: A Cross-Sectional Study

open access: yesDementia and Geriatric Cognitive Disorders Extra, 2019
Aims: Polypharmacy is well known to affect cognitive function in community-dwelling older adults. However, the effect of polypharmacy on cognitive function in patients with newly diagnosed Parkinson’s disease remains unknown.
Nobuyuki Ishii   +5 more
doaj   +1 more source

A Testing Method of Probability Weighting Functions From an Axiomatic Perspective

open access: yesFrontiers in Applied Mathematics and Statistics, 2018
This study presents a testing approach to examine various models of probability weighting functions that are considered nonlinear functions of probability in behavioral decision theory, such as prospect theory.
Kazuhisa Takemura   +2 more
doaj   +1 more source

A shocking experiment [PDF]

open access: yesJudgment and Decision Making, 2007
We study whether probability weighting is observed when individuals are presented with a series of choices between lotteries consisting of real non-monetary adverse outcomes, electric shocks.
Gregory S. Berns   +3 more
doaj  

Leaf segmentation and tracking using probabilistic parametric active contours [PDF]

open access: yes, 2011
Active contours or snakes are widely used for segmentation and tracking. These techniques require the minimization of an energy function, which is generally a linear combination of a data fit term and a regularization term.
C. Xu   +12 more
core   +2 more sources

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