Imprecise reliability: an introductory overview
262 Lev V. Utkin and Frank PA Coolen sources. Some of them may be objective measures
based on relative frequencies or on well-established statistical models. A part of the …
based on relative frequencies or on well-established statistical models. A part of the …
[PDF][PDF] Анализ риска и принятие решений при неполной информации
ЛВ Уткин - 2007 - levutkin.github.io
Практически во всех прикладных областÿх экономики и техники принÿтие оптимальных
решений и анализ риска ÿвлÿютсÿ одними из важнейших этапов реализации проектов …
решений и анализ риска ÿвлÿютсÿ одними из важнейших этапов реализации проектов …
[PDF][PDF] Powerful algorithms for decision making under partial prior information and general ambiguity attitudes.
This paper discusses decision making in the practically important situation where only
partial prior information on the stochastic behavior of the states of nature expressed by …
partial prior information on the stochastic behavior of the states of nature expressed by …
The DS/AHP method under partial information about criteria and alternatives by several levels of criteria
LV Utkin, NV Simanova - International Journal of Information …, 2012 - World Scientific
An extension of the DS/AHP method is proposed in the paper. It takes into account the fact
that the multi-criteria decision problem might have several levels of criteria. Moreover, it is …
that the multi-criteria decision problem might have several levels of criteria. Moreover, it is …
A new ranking procedure by incomplete pairwise comparisons using preference subsets
LV Utkin - Intelligent Data Analysis, 2009 - content.iospress.com
A method for ranking of alternatives or objects and its extensions by incomplete pairwise
comparisons using random set theory are proposed in the paper. The main feature of the …
comparisons using random set theory are proposed in the paper. The main feature of the …
Decision making under incomplete data using the imprecise Dirichlet model
The paper presents an efficient solution to decision problems where direct partial
information on the distribution of the states of nature is available, either by observations of …
information on the distribution of the states of nature is available, either by observations of …
[HTML][HTML] Inference after checking multiple Bayesian models for data conflict and applications to mitigating the influence of rejected priors
DR Bickel - International Journal of Approximate Reasoning, 2015 - Elsevier
Two major approaches have developed within Bayesian statistics to address uncertainty in
the prior distribution and in the rest of the model. First, methods of model checking, including …
the prior distribution and in the rest of the model. First, methods of model checking, including …
Generalized basic probability assignments
T Augustin - International Journal of General Systems, 2005 - Taylor & Francis
Dempster–Shafer theory allows to construct belief functions from (precise) basic probability
assignments. The present paper extends this idea substantially. By considering sets of basic …
assignments. The present paper extends this idea substantially. By considering sets of basic …
[PDF][PDF] Decision Making with Imprecise Second-Order Probabilities.
Decision Making with Imprecise Second-Order Probabilities. Page 555 Decision Making
with Imprecise Second-Order Probabilities LV UTKIN St. Petersburg State Forest Technical …
with Imprecise Second-Order Probabilities LV UTKIN St. Petersburg State Forest Technical …
Blending Bayesian and frequentist methods according to the precision of prior information with applications to hypothesis testing
DR Bickel - Statistical Methods & Applications, 2015 - Springer
The proposed minimax procedure blends strict Bayesian methods with p values and
confidence intervals or with default-prior methods. Two applications to hypothesis testing …
confidence intervals or with default-prior methods. Two applications to hypothesis testing …