Results 1 to 10 of about 2,391,904 (247)

Wanted: A population genetic theory of biological noise regulation. [PDF]

open access: yesPLoS Genet
Weinreich DM   +7 more
europepmc   +1 more source
Some of the next articles are maybe not open access.

Revisiting Almost Second-Degree Stochastic Dominance

Management Science, 2013
Leshno and Levy [Leshno M, Levy H (2002) Preferred by “all” and preferred by “most” decision makers: Almost stochastic dominance. Management Sci. 48(8):1074–1085] established almost stochastic dominance to reveal preferences for most rather than all decision makers with an increasing and concave utility function.
Rachel J Huang
exaly   +4 more sources

Almost Stochastic Dominance for Most Risk-Averse Decision Makers

Decision Analysis, 2020
In this paper, we propose a new concept of almost second-degree stochastic dominance (ASSD), which we term almost risk-averse stochastic dominance (ARSD). Compared with existing ASSD conditions, ARSD can exclude extremely risk-averse utility functions.
Chunling LUO, Chin Hon Tan
exaly   +3 more sources

Estimating the Critical Parameter in Almost Stochastic Dominance from Insurance Deductibles

Management Science, 2021
Knowing how small a violation of stochastic dominance rules would be accepted by most individuals is a prerequisite to applying almost stochastic dominance criteria. Unlike previous laboratory-experimental studies, this paper estimates an acceptable violation of stochastic dominance rules with 939,690 real world data observations on a choice of ...
Kamhon Kan, Larry Tzeng, Yi-Chieh Huang
exaly   +2 more sources

Preferred by “All” and Preferred by “Most” Decision Makers: Almost Stochastic Dominance

Management Science, 2002
While “most” decision makers may prefer one uncertain prospect over another, stochastic dominance rules as well as other investment criteria, will not reveal this preference due to some extreme utility functions in the case of even a very small violation of these rules.
Haim Levy, Moshe Leshno
exaly   +2 more sources

Intuitionistic fuzzy three-way transfer learning based on rough almost stochastic dominance

Engineering Applications of Artificial Intelligence, 2023
Zhanao Xue, Ji-Hua Song
exaly  

Generalized Almost Stochastic Dominance

Operations Research, 2015
Rachel J Huang, Larry Tzeng
exaly  

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