Results 21 to 30 of about 95,544 (266)

To be(t) or not to be(t): A Bayesian approach to statistical data analysis [PDF]

open access: yesEPJ Web of Conferences
The process of learning from observation is the founding step of Science. When it goes in the direction of collecting empyrical observations and getting to general rules it is called “induction”, and it has the goal to infer from the effects of a given ...
Pisano Silvia
doaj   +1 more source

Distribution Statistics Preserving Post-Processing Method With Plot Level Uncertainty Analysis for Remotely Sensed Data-Based Forest Inventory Predictions

open access: yesRemote Sensing, 2018
Remotely sensed data-based models used in operational forest inventory usually give precise and accurate predictions on average, but they often suffer from systematic under- or over-estimation of extreme attribute values resulting in too narrow or skewed
Virpi Junttila, Tuomo Kauranne
doaj   +1 more source

Theoretical characterization of uncertainty in high-dimensional linear classification

open access: yesMachine Learning: Science and Technology, 2023
Being able to reliably assess not only the accuracy but also the uncertainty of models’ predictions is an important endeavor in modern machine learning. Even if the model generating the data and labels is known, computing the intrinsic uncertainty after ...
Lucas Clarté   +3 more
doaj   +1 more source

Limitations of Deep Learning Attention Mechanisms in Clinical Research: Empirical Case Study Based on the Korean Diabetic Disease Setting

open access: yesJournal of Medical Internet Research, 2020
BackgroundDespite excellent prediction performance, noninterpretability has undermined the value of applying deep-learning algorithms in clinical practice.
Kim, Junetae   +8 more
doaj   +1 more source

Uncertainty in mass-balance estimates of regional irrigation-induced return flows and pollutant loads to a river

open access: yesJournal of Hydrology: Regional Studies, 2018
Study region: Arkansas River in Colorado, east of the Rocky Mountains. Study focus: Nonpoint source (NPS) flows and solute loads from irrigated lands can markedly shape the water environment.
Timothy K. Gates   +2 more
doaj   +1 more source

Eliciting opinions of experts using uncertainty

open access: yesLietuvos Matematikos Rinkinys, 2015
Multiple criteria decision-making (MCDM) methods designed for evaluation of attractiveness of available alternatives, whenever used in decision-aid systems, imply active participation of experts.
Valentinas Podvezko, Askoldas Podviezko
doaj   +1 more source

Quantitative Framework for Astrobiology Strategies and in situ Biogenic Assessments

open access: yesFrontiers in Astronomy and Space Sciences, 2022
In July 2020, NASA’s Perseverance (Mars 2020) mission was launched. The rover sent to the surface of Mars will not only perform in situ analyses, but will also collect rock and regolith samples that will be returned to Earth by future missions for ...
Julie Hartz, Simon C. George
doaj   +1 more source

Using Small Area Estimation to Produce Official Statistics

open access: yesStats, 2022
The USDA National Agricultural Statistics Service (NASS) and other federal statistical agencies have used probability-based surveys as the foundation for official statistics for over half a century.
Linda J. Young, Lu Chen
doaj   +1 more source

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin   +2 more
wiley   +1 more source

The Role of the Subjectivist Position in the Probabilization of Forensic Science

open access: yesJournal of Forensic Science and Medicine, 2015
This paper is concerned with the contribution of forensic science to the legal process by helping reduce uncertainty. Although it is now widely accepted that uncertainty should be handled by probability because it is a safeguard against incoherent ...
Alex Biedermann
doaj   +1 more source

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