Introduction to imprecise probabilities / by Augustin, Thomas

Reasoning with Imprecise Probabilities by Cano, A, Cozman, F, Lukasiewicz, T

Logical Approaches to Imprecise Probabilities by Lukasiewicz, T

Imprecise probability for non-commuting observables by Armen E Allahverdyan

Subjects: “…imprecise probability…”
Get full text

Reaching Consensus with Imprecise Probabilities over a Network by Bertuccelli, Luca F., How, Jonathan P.

Subjects: Get full text

Reaching Consensus with Imprecise Probabilities Over a Network by How, Jonathan P., Bertuccelli, Luca F., Fraser, Cameron S.

Get full text
Get full text

Imprecise probability assessment of tipping points in the climate system by Hall, J

A risk-based decision framework for policy analysis of societal pandemic effects by Mats Danielson, Mats Danielson, Love Ekenberg, Love Ekenberg, Nadejda Komendantova, Adriana Mihai

Subjects: Get full text

Improving the Naive Bayes Classifier via a Quick Variable Selection Method Using Maximum of Entropy by Joaquín Abellán, Javier G. Castellano

Subjects: Get full text

A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information by Meizhu Li, Shaoguang Huang, Jasper De Bock, Gert de Cooman, Aleksandra Pižurica

Subjects: Get full text

Associated Probabilities in Insufficient Expert Data Analysis by Gia Sirbiladze, Janusz Kacprzyk, Tinatin Davitashvili, Bidzina Midodashvili

Subjects: Get full text

Systems of Precision: Coherent Probabilities on Pre-Dynkin Systems and Coherent Previsions on Linear Subspaces by Rabanus Derr, Robert C. Williamson

“…In the literature on imprecise probability, little attention is paid to the fact that imprecise probabilities are precise on a set of events. …”
Get full text

A Fuzzy-Random Extension of Jamshidian’s Bond Option Pricing Model and Compatible One-Factor Term Structure Models by Jorge de Andrés-Sánchez

“…To do so, we use the possibility distribution functions capability to quantify imprecise probability distributions. Furthermore, this paper presents an application to the term structure of fixed-income bonds with the highest credit rating in the Euro area. …”
Get full text

Improving the Results in Credit Scoring by Increasing Diversity in Ensembles of Classifiers by Serafin Moral-Garcia, Joaquin Abellan

“…Some works have highlighted that DTs that employ imprecise probability models, called Credal Decision Trees (CDTs), improve the results of ensembles in credit scoring. …”
Get full text

Weak Nonmonotonic Probabilistic Logics by Lukasiewicz, T

“…Interestingly, probabilistic entailment in System <em>P</em> coincides with probabilistic entailment under g-coherence from imprecise probability assessments. We then analyze the semantic and nonmonotonic properties of the new formalisms. …”

Predicting forest fire spots using nonparametric predictive inference with parametric copula: Malaysia case study by Noryanti, Muhammad, Amirah Hazwani, Roslin, Hanita, Daud, Kadir, Evizal Abdul, Maharani, Warih

“…The four copulae integrated with the proposed method generated imprecise probabilities with a minimal gap showing the forecasting accuracy. …”
Get full text
Get full text

Upgrading the Fusion of Imprecise Classifiers by Serafín Moral-García, María D. Benítez, Joaquín Abellán

“…For imprecise classification, a mode called an Imprecise Credal Decision Tree (ICDT) that uses imprecise probabilities and maximum of entropy as the information measure has been presented. …”
Get full text

A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions by Joaquín Abellán, Alejandro Pérez-Lara, Serafín Moral-García

“…Evidence theory (TE), based on imprecise probabilities, is often more appropriate than the classical theory of probability (PT) to apply in situations with inaccurate or incomplete information. …”
Get full text