Information uncertainty of the future

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Quantifying and reducing statistical uncertainty in sample-based health program costing studies in low- and middle-income countries

SAGE Open Medicine, 2018
Objectives: In many low- and middle-income countries, the costs of delivering public health programs such as for HIV/AIDS, nutrition, and immunization are not routinely tracked.
Claudia L Rivera-Rodriguez, Stephen Resch, Sebastien Haneuse +2 more
doaj +1 more source

How Complexity and Uncertainty Grew with Algorithmic Trading

Entropy, 2020
The machine-learning paradigm promises traders to reduce uncertainty through better predictions done by ever more complex algorithms. We ask about detectable results of both uncertainty and complexity at the aggregated market level.
Martin Hilbert, David Darmon
doaj +1 more source

Does ‘Internet+Sales’ business model help managers improve earnings forecast quality? – Based on the data of e-commerce platforms

China Journal of Accounting Studies, 2021
Based on the data of firms opening stores on e-commerce platforms and DID regression model, we investigate the impacts of ‘Internet+Sales’ on management forecasts.
Bo Peng, Chen He
doaj +1 more source

Statistical and Numerical Study of Asteroid Orbital Uncertainty [PDF]

, 2013
The knowledge of the orbit or the ephemeris uncertainty of asteroid presents a particular interest for various purposes. These quantities are for instance useful for recovering asteroids, for identifying lost asteroids or for planning stellar occultation
Bancelin, David +3 more
core +4 more sources

Using expert elicitation to strengthen future regional climate information for climate services

Climate Services, 2022
Climate change knowledge can inform regional and local adaptation decisions. However, estimates of future climate are uncertain and methods for assessing uncertainties typically rely on the results of climate model simulations, which are constrained by ...
Sam Grainger +4 more
doaj +1 more source

Uncertainty decomposed: Understanding levels of contingency to enable effective decision-making [PDF]

Strategic Management
Background: Uncertainty is a common challenge in managerial decision-making, especially when it comes to predicting future states, establishing cause-effect relationships, and having knowledge about relevant variables.
Grüner Sebastian L.
doaj +1 more source

Uncertainty increases curiosity, but decreases happiness

Scientific Reports, 2021
You probably know what kind of things you are curious about, but can you also explain what it feels like to be curious? Previous studies have demonstrated that we are particularly curious when uncertainty is high and when information provides us with a ...
Lieke L. F. van Lieshout, Floris P. de Lange, Roshan Cools +2 more
doaj +1 more source

Delaying information search [PDF]

Judgment and Decision Making, 2012
In three studies, we examined factors that may temporarily attenuate information search. People are generally curious and dislike uncertainty, which typically encourages them to look for relevant information.
Yaniv Shani, Niels van de Ven, Marcel Zeelenberg +2 more
doaj +3 more sources

Illness Uncertainty in Parents of Children with Juvenile Idiopathic Arthritis

ACR Open Rheumatology, 2021
Objective To gain a better understanding of uncertainty regarding the illness experienced by parents of children with juvenile idiopathic arthritis (JIA).
Caroline Pearce, Stanton Newman, Kathleen Mulligan +2 more
doaj +1 more source

Traditional Media at the Beginning of the Unknown

Галактика медиа: журнал медиа исследований, 2023
The purpose of this research is to find how TV news programs, as part of traditional media source, supply the needs of public within the uncertainty management theory and information-seeking scope during the initial phase of COVID-19 pandemic. A thematic
Ayse Narin +2 more
doaj +1 more source

uncertainty
medicine general
decision making

machine learning
entropy