Results 31 to 40 of about 2,786 (129)

An original and additional mathematical model characterizing a Bayesian approach to decision theory [PDF]

open access: yes, 2019
We propose an original mathematical model according to a Bayesian approach explaining uncertainty from a point of view connected with vector spaces. A parameter space can be represented by means of random quantities by accepting the principles of the ...
Angelini, Pierpaolo
core  

The CONEstrip algorithm [PDF]

open access: yes, 2013
Uncertainty models such as sets of desirable gambles and (conditional) lower previsions can be represented as convex cones. Checking the consistency of and drawing inferences from such models requires solving feasibility and optimization problems.
D. Avis   +7 more
core   +2 more sources

Modelling stomatal mechanics: a critical review

open access: yesNew Phytologist, EarlyView.
Summary The biomechanics of stomatal movements have fascinated scientists for almost 150 yr, yet we still lack a conclusive and coherent mechanistic understanding of the process. In this review, we present a framework that allows critical insight into the state of knowledge of stomatal biomechanics, with a focus on modelling approaches.
Nathanael Y. H. Tan   +3 more
wiley   +1 more source

The Popular Economy and Its Critics: Cooperation and Contradiction in the Sandinista Welfare‐Developmentalist State

open access: yesAntipode, Volume 58, Issue 2, 2026.
ABSTRACT The popular economy is a subjective economic community in Nicaragua. It is sustained by the imaginative and material labors of worker‐producers organized in households, cooperatives, and other self‐managing associations. This article demonstrates the popular economy's importance to the format of work, wealth, and welfare in contemporary ...
Jonah Walters
wiley   +1 more source

Preference orderings represented by coherent upper and lower conditional previsions

open access: yesTheory and Decision, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

The Goodman-Nguyen Relation within Imprecise Probability Theory

open access: yes, 2014
The Goodman-Nguyen relation is a partial order generalising the implication (inclusion) relation to conditional events. As such, with precise probabilities it both induces an agreeing probability ordering and is a key tool in a certain common extension ...
Pelessoni, Renato, Vicig, Paolo
core   +1 more source

Weak consistency for imprecise conditional previsions [PDF]

open access: yes, 2015
In this paper we explore relaxations of (Williams) coherent and convex conditional previsions that form the families of n-coherent and n-convex conditional previsions, at the varying of n. We investigate which such previsions are the most general one may
Pelessoni, Renato, Vicig, Paolo
core   +1 more source

The Political Determination of Gaza's Health System Destruction and Reconstruction and the Limitations of International Medical Deployments

open access: yesThe International Journal of Health Planning and Management, Volume 41, Issue 1, Page 259-275, January 2026.
ABSTRACT Gaza's health system has been devastated by a confluence of political determinants that long predated the 2023–25 Israeli military assault and were dramatically intensified during it. Using historical, political economy, ethical, and health systems lenses, this article argues that settler colonialism, military occupation, and a protracted ...
Bilal Irfan   +19 more
wiley   +1 more source

Sklar's theorem in an imprecise setting [PDF]

open access: yes, 2015
Sklar's theorem is an important tool that connects bidimensional distribution functions with their marginals by means of a copula. When there is imprecision about the marginals, we can model the available information by means of p-boxes, that are pairs ...
Miranda, Enrique   +3 more
core   +2 more sources

Perspectives on Systematic Cloud Microphysics Scheme Development With Machine Learning

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 1, January 2026.
Abstract Cloud microphysics—the collection of processes that govern the small‐scale formation, evolution, and interactions of liquid droplets and ice crystals in clouds and precipitation—remains a major source of uncertainty in weather and climate models.
Kara D. Lamb   +9 more
wiley   +1 more source

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