Relevant bibliographies by topics / Uncertainty

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Uncertainty'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Uncertainty"

1

Corder, Matthew, and Martin Weale. "Uncertain Uncertainty." British Actuarial Journal 17, no. 3 (2012): 542–61. http://dx.doi.org/10.1017/s1357321712000323.

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Shelley, Charles J. "Uncertain about Uncertainty." Journal of Services Marketing 5, no. 4 (1991): 39–47. http://dx.doi.org/10.1108/08876049110035648.

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Jones, Caitlin. "Managing uncertainty, in uncertain times." InnovAiT: Education and inspiration for general practice 13, no. 10 (2020): 625. http://dx.doi.org/10.1177/1755738020937727.

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WONG., KAM L. "Uncertainty! Uncertainty!" Quality and Reliability Engineering International 3, no. 1 (1987): 1–2. http://dx.doi.org/10.1002/qre.4680030102.

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Wang, Lihui, Yufu Ning, Xiumei Chen, Shukun Chen, and Hong Huang. "Conditional Uncertainty Distribution of Two Uncertain Variables and Conditional Inverse Uncertainty Distribution." Symmetry 15, no. 8 (2023): 1592. http://dx.doi.org/10.3390/sym15081592.

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It is noted that some uncertain variables are independent while others are not. In general, there is a symmetrical relationship between independence and dependence among uncertain variables. The utilization of conditional uncertain measures as well as conditional uncertainty distributions proves highly efficacious in resolving uncertainties pertaining to an event subsequent to the acquisition of knowledge about other events. In this paper, the theorem about the conditional uncertainty distribution of two uncertain variables is proposed. It is demonstrated that the theorem holds regardless of w
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Ridler, Nick, Yeou-Song Lee, and David Blackham. "Feeling uncertain about uncertainty? [Member Benefits]." IEEE Microwave Magazine 9, no. 4 (2008): 132–33. http://dx.doi.org/10.1109/mmm.2008.924785.

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Ekman, Ulrik, Daniela Agostinho, Nanna Bonde Thylstrup, and Kristin Veel. "The uncertainty of the uncertain image." Digital Creativity 28, no. 4 (2017): 255–64. http://dx.doi.org/10.1080/14626268.2017.1391848.

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Johnson, Steven, and Anja Einseln. "An Uncertain Approach to Measurement Uncertainty." Forensic Science International: Synergy 1 (August 2019): S2. http://dx.doi.org/10.1016/j.fsisyn.2019.06.008.

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Thompson, Michael. "Editorial. Uncertainty in an uncertain world." Analyst 120, no. 9 (1995): 117N. http://dx.doi.org/10.1039/an995200117n.

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Kothapalli, Priya R., and Moritz C. Wyler von Ballmoos. "Uncertainty in Uncertainty." JACC: Cardiovascular Interventions 13, no. 16 (2020): 1964–65. http://dx.doi.org/10.1016/j.jcin.2020.06.046.

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Dissertations / Theses on the topic "Uncertainty"

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ONGARO, MALVINA. "Uncertainty for uncertain decision makers." Doctoral thesis, Università degli studi di Genova, 2022. https://hdl.handle.net/11567/1100017.

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First Chapter - While mainstream decision theory only allows for variations in the severity of uncertainty, the plurality of labels with which uncertainty has been referred to in the literature and the variety of doubts that decision makers can have seem to suggest that there are different types of uncertainty. Given the importance that uncertainty has in almost any decision, understanding this plurality can be helpful to decide effectively. I propose an account of uncertainty as based on a disagreement between reasons supporting alternative mental attitudes. Under this account, dealing with
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Abdullah, Johari. "Uncertainty and uncertainty tolerance in service provisioning." Thesis, University of Newcastle upon Tyne, 2014. http://hdl.handle.net/10443/2467.

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Service, in general term is a type of economic activity where the consumers utilize labour and/or expertise of others to perform a specific task. The birth and continued growth of the Internet provide a new medium for services to be delivered, and enable services to become widely and readily available. In recent years, the Internet has become an important platform to provide services to the end users. Service provisioning, In the context of computing, is the process of providing users with access to data and technology resources. In a perfect operating environment, the entities involved can exp
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Willquist, André. "Uncertainty Discretization for Motion Planning Under Uncertainty." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-170496.

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In this thesis, the problem of motion planning under uncertainty is explored. Motion planning under uncertainty is important since even with noise during the execution of the plan, it is desirable to keep the collision risk low. However, for the motion planning to be useful it needs to be possible to perform it in a reasonable time. The introduction of state uncertainty leads to a substantial increase in search time due to the additional dimensions it adds to the search space. In order to alleviate this problem, different approaches to pruning of the search space are explored. The initial appr
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Woolley, Richard. "Living uncertain lives : a study in the sociology of uncertainty /." View thesis, 2002. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030721.144500/index.html.

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Thesis (Ph.D.) -- University of Western Sydney, 2002.<br>"Dissertation submitted in fulfillment of the requirements for the award of the degree of Doctor of Philosophy, September 2002." Bibliography: p. 445 - 466.
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Vergaray, Alfonso Ruben. "Rethinking Uncertainty: Spinoza and Hume on Shaping Uncertain Secular Futures." Diss., Virginia Tech, 2014. http://hdl.handle.net/10919/70844.

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This dissertation extends contemporary views about uncertainty. It does so through a reading of the role of uncertainty in the political thought of two modern philosophers, Baruch Spinoza and David Hume. Despite uncertainty's notable and multi-disciplinary appeal in the academic literature, the frame in which most scholars think about social and political uncertainty is one-sided. On the whole, contemporary scholars consider uncertainty as a problem in need of a remedy. In the social sciences uncertainty is transformed into risk in order to empirically calculate risk probabilities. The hope
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MacAskill, William. "Normative uncertainty." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:8a8b60af-47cd-4abc-9d29-400136c89c0f.

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Very often, we are unsure about what we ought to do. Under what conditions should we help to improve the lives of distant strangers rather than those of our family members? At what point does an embryo or foetus become a person, with all the rights that that entails? Is it ever permissible to raise and kill non-human animals in order to use their meat for food? Sometimes, this uncertainty arises out of empirical uncertainty: we might not know to what extent non-human animals feel pain, or how much we are really able to improve the lives of distant strangers compared to our family members. But
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Boopathy, Komahan. "Uncertainty Quantification and Optimization Under Uncertainty Using Surrogate Models." University of Dayton / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1398302731.

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Fiorito, Luca. "Nuclear data uncertainty propagation and uncertainty quantification in nuclear codes." Doctoral thesis, Universite Libre de Bruxelles, 2016. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/238375.

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Uncertainties in nuclear model responses must be quantified to define safety limits, minimize costs and define operational conditions in design. Response uncertainties can also be used to provide a feedback on the quality and reliability of parameter evaluations, such as nuclear data. The uncertainties of the predictive model responses sprout from several sources, e.g. nuclear data, model approximations, numerical solvers, influence of random variables. It was proved that the largest quantifiable sources of uncertainty in nuclear models, such as neutronics and burnup calculations, are the nucl
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Simangunsong, Eliot Sation. "Supply chain uncertainty : linking sources of uncertainty and management practices." Thesis, Lancaster University, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556682.

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Supply chain uncertainty is a key issue that affects firm competitiveness (1993; Yang et al., 2004); and, therefore, identifying the major sources of uncertainty within supply chains and developing strategies to manage them is an important challenge (Sabri & Beamon, 2000). There is an emerging literature on supply chain uncertainty but additional empirical research is required to further develop understanding of this phenomenon. This leads to an important research question to explore what sources of uncertainty can be identified in practice, what are the dimensions of these sources, and how ca
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Cheng, Haiyan. "Uncertainty Quantification and Uncertainty Reduction Techniques for Large-scale Simulations." Diss., Virginia Tech, 2009. http://hdl.handle.net/10919/28444.

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Modeling and simulations of large-scale systems are used extensively to not only better understand a natural phenomenon, but also to predict future events. Accurate model results are critical for design optimization and policy making. They can be used effectively to reduce the impact of a natural disaster or even prevent it from happening. In reality, model predictions are often affected by uncertainties in input data and model parameters, and by incomplete knowledge of the underlying physics. A deterministic simulation assumes one set of input conditions, and generates one result without cons
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Books on the topic "Uncertainty"

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Dow, Sheila C. Uncertainty about uncertainty. Dept. of Economics, University of Stirling, 1993.

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Briggs, William. Uncertainty. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6.

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Michael, Larsen. Uncertainty. Sceptre, 1997.

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Esst, Garrison. Uncertainty. Denver Center Theatre Company, 1992.

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Sanz, Yolanda Ortega. Uncertainty. Edited by International Architectural Exhibition (17th : 2021 : Venice, Italy). Fundación Arquia, 2021.

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MacAskill, Michael. Moral Uncertainty. Oxford University Press, 2020.

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Garvey, Bruce, Dowshan Humzah, and Storm Le Roux. Uncertainty Deconstructed. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08007-4.

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Jeschke, Sabina, Eva-Maria Jakobs, and Alicia Dröge, eds. Exploring Uncertainty. Springer Fachmedien Wiesbaden, 2013. http://dx.doi.org/10.1007/978-3-658-00897-0.

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Osman, Magda. Controlling Uncertainty. Wiley-Blackwell, 2010. http://dx.doi.org/10.1002/9781444328226.

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Rautzenberg, Markus. Framing Uncertainty. Palgrave Macmillan UK, 2020. http://dx.doi.org/10.1057/978-1-137-59521-8.

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Book chapters on the topic "Uncertainty"

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Dow, Sheila C. "Uncertainty about Uncertainty." In Foundations for New Economic Thinking. Palgrave Macmillan UK, 2012. http://dx.doi.org/10.1057/9781137000729_5.

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Ferrero, Alessandro. "Uncertainty and Uncertainty Propagation." In Realizing Complex System Design. CRC Press, 2025. https://doi.org/10.1201/9781003188377-29.

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Briggs, William. "Truth, Argument, Realism." In Uncertainty. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_1.

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Briggs, William. "Modelling Goals, Strategies, and Mistakes." In Uncertainty. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_10.

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Briggs, William. "Logic." In Uncertainty. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_2.

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Briggs, William. "Induction and Intellection." In Uncertainty. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_3.

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Briggs, William. "What Probability Is." In Uncertainty. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_4.

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Briggs, William. "What Probability Is Not." In Uncertainty. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_5.

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Briggs, William. "Chance and Randomness." In Uncertainty. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_6.

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Briggs, William. "Causality." In Uncertainty. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39756-6_7.

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Conference papers on the topic "Uncertainty"

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Arafat, Naheed Anjum, Ehsan Bonabi Mobaraki, Arijit Khan, Yllka Velaj, and Francesco Bonchi. "Estimate and Reduce Uncertainty in Uncertain Graphs." In 2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA). IEEE, 2024. http://dx.doi.org/10.1109/dsaa61799.2024.10722821.

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Chen, Junyu, Yihao Liu, Shuwen Wei, Zhangxing Bian, Aaron Carass, and Yong Du. "From Registration Uncertainty to Segmentation Uncertainty." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635251.

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Kantz, Benedikt, Sophie Steger, Clemens Staudinger, et al. "Input Uncertainty Attribution by Uncertainty Propagation." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10890257.

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Yang, Yongjin, Haneul Yoo, and Hwaran Lee. "MAQA: Evaluating Uncertainty Quantification in LLMs Regarding Data Uncertainty." In Findings of the Association for Computational Linguistics: NAACL 2025. Association for Computational Linguistics, 2025. https://doi.org/10.18653/v1/2025.findings-naacl.325.

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Hoelting, C. "Ten Years of Becoming Less Uncertain About the Uncertainty of Our Uncertainty Estimates…" In 81st EAGE Conference and Exhibition 2019 Workshop Programme. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201901990.

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Gilbert, Robert B., Fulvio Tonon, Juliana Freire, Claudio T. Silva, and David R. Maidment. "Visualizing Uncertainty with Uncertainty Multiples." In GeoCongress 2006. American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40803(187)101.

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Schmidt, Joanna N., Ben D. Phillips, Robert D. Falck, and Eliot Aretskin-Hariton. "Design Under Uncertainty With Design-Dependent Uncertain Variables." In AIAA SCITECH 2025 Forum. American Institute of Aeronautics and Astronautics, 2025. https://doi.org/10.2514/6.2025-2296.

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Mkrtchyan, Ka'ren. "Elimination LArTPC Simulation Uncertainty." In Elimination LArTPC Simulation Uncertainty. US DOE, 2024. http://dx.doi.org/10.2172/2427337.

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Mkrtchyan, Ka'ren. "Elimination LArTPC Simulation Uncertainty." In Elimination LArTPC Simulation Uncertainty. US DOE, 2024. http://dx.doi.org/10.2172/2426577.

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Vemulapalli, G. K., and A. S. Marathay. "Minimizing the uncertainty about the uncertainty principle." In Education and Training in Optics and Photonics. OSA, 2003. http://dx.doi.org/10.1364/etop.2003.emd3.

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Reports on the topic "Uncertainty"

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Makaruk, Hanna. Uncertainty about the Uncertainty. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1631555.

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Hansen, Clifford, and Aaron Scheiner. Uncertainty in annual energy resulting from uncertain irradiance measurements. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1959813.

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Enke, Benjamin, and Thomas Graeber. Cognitive Uncertainty. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26518.

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Jurado, Kyle, Sydney Ludvigson, and Serena Ng. Measuring Uncertainty. National Bureau of Economic Research, 2013. http://dx.doi.org/10.3386/w19456.

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Fajgelbaum, Pablo, Edouard Schaal, and Mathieu Taschereau-Dumouchel. Uncertainty Traps. National Bureau of Economic Research, 2014. http://dx.doi.org/10.3386/w19973.

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Cieslak, Anna, Stephen Hansen, Michael McMahon, and Song Xiao. Policymakers' Uncertainty. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31849.

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Silgado-Gómez, Edgar. Sovereign uncertainty. Banco de España, 2024. http://dx.doi.org/10.53479/36875.

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This paper investigates the impact and the transmission of uncertainty regarding the future path of government finances on economic activity. I first employ a data-rich approach to extract a novel proxy that captures uncertainty surrounding public finances, which I refer to as sovereign uncertainty, and demonstrate that the estimated measure exhibits distinct fluctuations from macro-financial and economic policy uncertainty indices. Next, I analyse the behaviour of sovereign uncertainty shocks and detect the presence of significant and long-lasting negative effects in the financial and macroec
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Croft, Stephen, and Andrew Nicholson. OR14-V-Uncertainty-PD2La Uncertainty Quantification Workshop Report. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1784220.

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Afonso, Gara, Gabriele La Spada, Thomas M. Mertens, and John C. Williams. The Optimal Supply of Central Bank Reserves under Uncertainty. Federal Reserve Bank of New York, 2023. http://dx.doi.org/10.59576/sr.1077.

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This paper provides an analytically tractable theoretical framework to study the optimal supply of central bank reserves when the demand for reserves is uncertain and nonlinear. We fully characterize the optimal supply of central bank reserves and associated market equilibrium. We find that the optimal supply of reserves under uncertainty is greater than that absent uncertainty. With a sufficient degree of uncertainty, it is optimal to supply a level of reserves that is abundant (on the flat portion of the demand curve) absent shocks. The optimal mean spread between the market interest rate an
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McKay, M. D. Evaluating prediction uncertainty. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/29432.

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