Results 251 to 260 of about 124,938 (276)

Predictive modeling of animal-vehicle collisions involving the threatened leopard cat (<i>Prionailurus bengalensis</i>) and Eurasian otter (<i>Lutra lutra</i>), in the Republic of Korea. [PDF]

Anim Cells Syst (Seoul)
Kim K, Kim K, Bliss DA, Jang Y.
europepmc   +1 more source

Genotype-Phenotype Concordance and Ct-Informed Predictive Rules for Antimicrobial Resistance in Adult Patients with Complicated Urinary Tract Infections: Clinical and Stewardship Implications from the NCT06996301 Trial. [PDF]

Diagnostics (Basel)
Kardjadj M, Priestly IP, Chavez R, Derrick D, Huard TK.   +4 more
europepmc   +1 more source

Humans use a dual information-seeking policy to improve noisy inferences outside the explore-exploit tradeoff

Cao Y, Alméras C, Lee JK, Wyart V.
europepmc   +1 more source

Improving a Clinical Prediction Model for Computed Tomography Head Scan Use in Non-Traumatic Seizures: The SeizCT Optimized Model. [PDF]

J Clin Med Res
Sudsanoh K, Lokeskrawee T, Pruksathorn N, Lawanaskol S, Patumanond J, Bumrungpagdee W, Chanlaor S, Lakdee C, Suriyanusorn P.   +8 more
europepmc   +1 more source

Choice-Induced Preference Change under a Sequential Sampling Model Framework

Lee DG, Pezzulo G.
europepmc   +1 more source

Event‐Tree Analysis with Imprecise Probabilities

Risk Analysis, 2011
Novel methods are proposed for dealing with event‐tree analysis under imprecise probabilities, where one could measure chance or uncertainty without sharp numerical probabilities and express available evidence as upper and lower previsions (or expectations) of gambles (or bounded real functions). Sets of upper and lower previsions generate a convex set
You, Xiaomin, Tonon, Fulvio
openaire   +3 more sources

Introduction to Imprecise Probabilities

2020
Since uncertainty is persistent in engineering analyses, this chapter aimed to introduce methods to describe and reason with under uncertainty in various scenarios. Probability theory is the most widely used methodology for uncertainty quantification for a long time and has proven to be a powerful tool for this task.
Daniel Krpelík, Tathagata Basu
openaire   +1 more source

Constructing imprecise probability distributions

International Journal of General Systems, 2005
In this current paper the following problems are addressed: (1) extending the knowledge of a partially known probability distribution function to any point of a continuous sample space, (2) constructing an imprecise probability distribution based on the knowledge of a set of credible or confidence intervals, and (3) computing the lower and upper ...
Igor O. Kozine, Lev V. Utkin
openaire   +1 more source

Imprecise probabilities and scenarios

Futures, 2005
Abstract This paper argues that imprecise probability can be used to describe uncertainty about scenarios. Scenarios are conceptualized as written descriptions of potential future worlds that are based on assessments of economic, political, social, technological, and environmental trends [This description of scenarios follows that provided by Peter ...
openaire   +1 more source

Discounting Imprecise Probabilities

2018
In this paper it is considered the problem of discounting a credal set of probability distributions by a factor \(\alpha \) representing a degree of unreliability of the information source providing the imprecise probabilistic information. An axiomatic approach is followed by giving a set of properties that this operator should satisfy.
openaire   +1 more source