Results 1 to 10 of about 2,391,904 (247)
Wanted: A population genetic theory of biological noise regulation. [PDF]
Weinreich DM +7 more
europepmc +1 more source
Hyper-mutational processes provide a head-start for weak cancer drivers: Explaining atypical KRAS variants. [PDF]
Nicholson MD, Tomlinson I.
europepmc +1 more source
Some of the next articles are maybe not open access.
Revisiting Almost Second-Degree Stochastic Dominance
Management Science, 2013Leshno 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, 2020In 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, 2021Knowing 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, 2002While “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, 2023Zhanao Xue, Ji-Hua Song
exaly

