標題: Titlebook: Probabilistic Risk Analysis and Bayesian Decision Theory; Marcel van Oijen,Mark Brewer Book 2022 The Author(s), under exclusive license to [打印本頁] 作者: estradiol 時間: 2025-3-21 18:31
書目名稱Probabilistic Risk Analysis and Bayesian Decision Theory影響因子(影響力)
書目名稱Probabilistic Risk Analysis and Bayesian Decision Theory影響因子(影響力)學科排名
書目名稱Probabilistic Risk Analysis and Bayesian Decision Theory網(wǎng)絡公開度
書目名稱Probabilistic Risk Analysis and Bayesian Decision Theory網(wǎng)絡公開度學科排名
書目名稱Probabilistic Risk Analysis and Bayesian Decision Theory被引頻次
書目名稱Probabilistic Risk Analysis and Bayesian Decision Theory被引頻次學科排名
書目名稱Probabilistic Risk Analysis and Bayesian Decision Theory年度引用
書目名稱Probabilistic Risk Analysis and Bayesian Decision Theory年度引用學科排名
書目名稱Probabilistic Risk Analysis and Bayesian Decision Theory讀者反饋
書目名稱Probabilistic Risk Analysis and Bayesian Decision Theory讀者反饋學科排名
作者: 含糊其辭 時間: 2025-3-21 23:18 作者: 忍耐 時間: 2025-3-22 01:23
PRA vs. BDT in the Spatial Example,use irrigation in those locations where it increases the expectation for utility .[.], calculated from the 19 years of data. We aim to show that locations where irrigation increases .[.] are also the locations where it decreases the ... that we defined in Chap. ..作者: Adenoma 時間: 2025-3-22 06:54 作者: 易受刺激 時間: 2025-3-22 12:31
Sampling-Based Single-Threshold PRA,es .[.] are then replaced by normalised frequencies, but we shall denote those with .[.] too. Say the total number of (., .) observations is . of which .. have .-values that are below a threshold .. We then write, as before, .[.?.]?=?.[.] and estimate this as ..∕..作者: LOPE 時間: 2025-3-22 16:31 作者: temperate 時間: 2025-3-22 17:28 作者: Myosin 時間: 2025-3-23 01:04
Sampling-Based Single-Threshold PRA: Uncertainty Quantification (UQ),Uncertainty in sampling-based expectations may be quantified as the standard deviations of the sample means, see Eq. (4.1).作者: ectropion 時間: 2025-3-23 02:25
Density Estimation to Move from Sampling- to Distribution-Based PRA,Our approach to sampling-based single-threshold PRA with UQ in Chap. . was to take a collection of . data pairs (., .), define a hazardous region ., and estimate .[.], .? and . as, respectively, .∕.., . and .. The approach was completed with UQ using Eqs. (.)–(.).作者: 殺死 時間: 2025-3-23 08:10
Bayesian Model-Based PRA,In practice, given a particular data set we will want to model the relationship between outcome/response variables and associated explanatory variables. We can then use this model to conduct our PRA. We will illustrate this using the existing linear (bivariate Gaussian) and nonlinear examples.作者: Terminal 時間: 2025-3-23 12:53 作者: orthopedist 時間: 2025-3-23 16:00 作者: omnibus 時間: 2025-3-23 20:39 作者: VOC 時間: 2025-3-24 01:43 作者: 耕種 時間: 2025-3-24 03:35
Implementation of BDT Using Bayesian Networks,This chapter provides details on the implementation of BDT. As examples, we use similarly simple models as in Chap. ., but now show explicitly how we extract information from them.作者: 殘忍 時間: 2025-3-24 08:22
A Spatial Example: Forestry in Scotland,The main purpose of this example is to show how theory developed in earlier chapters can be applied to a spatial decision problem where model inputs and outputs are maps of a geographical region. We also intend this and the following chapters to be a repository of succinct and efficient R-algorithms for spatial problems in PRA and BDT.作者: 騷動 時間: 2025-3-24 11:17 作者: bioavailability 時間: 2025-3-24 15:09
Three-Component PRA in the Spatial Example,We shall not show any details of a 3-component PRA here—there are no special problems—but just point out that R’s . package makes it easy to calculate a spatially aggregated map for ., defined as the fraction of an area that has experienced drought at least once in the observational record (see Chap. .).作者: Neuralgia 時間: 2025-3-24 21:37
Marcel van Oijen,Mark BrewerIntroduces a new theory of probabilistic risk analysis that is rigorous and versatile.Explains how risk analysis is related to Bayesian decision theory.Provides many examples, all with R-code作者: 盡管 時間: 2025-3-24 23:24
https://doi.org/10.1007/978-3-031-16333-3Bayesian Methods; Decision Theory; Hazards; Probability Theory; Risk Analysis; System Vulnerability; Uncer作者: Enteropathic 時間: 2025-3-25 06:57
Three-Component PRA,ts because .[.] is a dimensionless probability. For example, in forestry both . and .? would typically be quantified in units of productivity such as ....... These units imply that . and .? are . properties of the system, as they do not account for the size of the forest that is at risk.作者: 絕種 時間: 2025-3-25 11:07
Linkages Between PRA and BDT,ation (BDT) equates to minimising a ‘corrected’ form of risk. For discussion of the linkages between older (discrete and less comprehensively probabilistic) forms of PRA and BDT, see Borgonovo et al. (Eur J Oper Res 264:280–293, 2018).作者: Decongestant 時間: 2025-3-25 12:49
Discussion, That was followed by alternatives or extensions for all those PRA-qualifiers. Mathematical equations and R-code were given for all the new types of PRA, as well as examples of their application to virtual data sets. We also presented equations and code for uncertainty quantification for risk and its components.作者: 西瓜 時間: 2025-3-25 18:37
978-3-031-16332-6The Author(s), under exclusive license to Springer Nature Switzerland AG 2022作者: 減震 時間: 2025-3-25 23:02
Probabilistic Risk Analysis and Bayesian Decision Theory978-3-031-16333-3Series ISSN 2191-544X Series E-ISSN 2191-5458 作者: 掃興 時間: 2025-3-26 02:33
Probabilistic Risk Analysis and Bayesian Decision Theory作者: pacific 時間: 2025-3-26 08:09
Book 2022nd many examples with full computer code. The approach is based on straightforward use of probability theory which brings rigour and clarity. Only a moderate knowledge and understanding of probability theory is expected from the reader.作者: 清唱劇 時間: 2025-3-26 11:22
Marcel van Oijen,Mark Brewer, J.A. Wisniewski:Numerically effective vector bundles with small Chernclasses.- C.A.M. Peters: On the rank of non-rigidperiodmaps in the weight one and two cas978-3-540-55235-2978-3-540-46786-1Series ISSN 0075-8434 Series E-ISSN 1617-9692 作者: Ebct207 時間: 2025-3-26 14:08 作者: notion 時間: 2025-3-26 19:17
Marcel van Oijen,Mark Brewertribution are estimated, and then evaluated to verify whether aggregate regularities emerge on the whole. In short, not only micro, but also meso and macro empirical validation are employed. Moreover, it shows 978-3-030-06731-1978-3-319-93858-5Series ISSN 2039-411X Series E-ISSN 2039-4128 作者: 粗魯?shù)娜?nbsp; 時間: 2025-3-26 23:21
Marcel van Oijen,Mark Brewerents of . represent isomorphic polarized abelian varieties with endomorphism structure. It turns out that, given (., .), there is a group .(., .) acting properly and discontinuously on ., such that the quotient .(., .) = .(., .) is a moduli space (in the sense of Chapter 8) for the polarized abelian作者: Creatinine-Test 時間: 2025-3-27 02:59
Marcel van Oijen,Mark Brewerents of . represent isomorphic polarized abelian varieties with endomorphism structure. It turns out that, given (., .), there is a group .(., .) acting properly and discontinuously on ., such that the quotient .(., .) = .(., .) is a moduli space (in the sense of Chapter 8) for the polarized abelian作者: 和諧 時間: 2025-3-27 08:14 作者: Orgasm 時間: 2025-3-27 12:58 作者: 忙碌 時間: 2025-3-27 15:59 作者: contradict 時間: 2025-3-27 19:41
Marcel van Oijen,Mark Brewertive ideal of an abelian variety. In its detailed discussion of the cohomology of invertible sheaves, the book incorporates material previously found only in research articles. Also, several examples where abelian varieties arise in various branches of geometry are given as a conclusion of the book.