Results 91 to 100 of about 20,945 (297)

A GENERALIZED STOCHASTIC DOMINANCE PROGRAM FOR THE IBM PC [PDF]

open access: yes
A microcomputer program to perform Generalized Stochastic Dominance (GSD), Quasi-Second Degree Dominance (SSD), and Quasi-First Degree Stochastic Dominance (FSD) is described.
Cochran, Mark J.   +3 more
core   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

Stochastic Efficiency Analysis of Community-Supported Agriculture Core Management Options

open access: yesJournal of Agricultural and Resource Economics, 2001
The continued decline in both the number of and the acreage in small-scale farms and rural communities, as well as food safety and environmental concerns, has heightened interest in the community-supported agriculture (CSA) concept.
Njundu Sanneh   +2 more
doaj   +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

open access: yesAdvanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee   +21 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Pseudo Stochastic Dominance. Applications Cuasi dominancia estocástica. Aplicaciones

open access: yesRevista Colombiana de Estadística, 2011
The aim of this work is to show that on certain ocasions classic decision rules used in the context of options (Stochastic Dominance criteria and Mean-Variance rules) do not provide a selection of one specific option over the other, therefore, the need ...
ELENA ALMARAZ-LUENGO
doaj  

Stochastic multi-criteria decision-making: an overview to methods and applications

open access: yesBeni-Suef University Journal of Basic and Applied Sciences, 2019
Background The alternatives selection problem with multi-criteria in stochastic form variables is called as stochastic multi-criteria decision-making. The stochasticity of the criteria is considered using stochastic dominance, prospect theory, and regret
Erkan Celik   +3 more
doaj   +1 more source

Probabilistic choice and stochastic dominance [PDF]

open access: yesEconomic Theory, 2008
This paper presents an axiomatic model of probabilistic choice under risk. In this model, when it comes to choosing one lottery over another, each alternative has a chance of being selected, unless one lottery stochastically dominates the other. An individual behaves as if he compares lotteries to a reference lottery—a least upper bound or a greatest ...
openaire   +2 more sources

Improved Portfolio Choice using Second-Order Stochastic Dominance [PDF]

open access: yes
We examine the use of second-order stochastic dominance as both a way to measure performance and also as a technique for constructing portfolios. Using in-sample data, we construct portfolios such that their second-order stochastic dominance over a ...
James E. Hodder   +2 more
core  

Multivariate stochastic dominance for multivariate normal distribution [PDF]

open access: yes, 2018
summary:Stochastic dominance is widely used in comparing two risks represented by random variables or random vectors. There are general approaches, based on knowledge of distributions, which are dedicated to identify stochastic dominance.
Petrová, Barbora
core   +1 more source

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