Relevant bibliographies by topics / Expected-rate constraints

Contents

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

Academic literature on the topic 'Expected-rate constraints'

Author: Grafiati
Published: 1 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Expected-rate constraints"

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Guan, Jinying, Jiawei He, Sisi Peng, and Tiantian Xue. "Comparisons to Investment Portfolios under Markowitz Model and Index Model based on US’s Stock Market." BCP Business & Management 26 (September 19, 2022): 905–15. http://dx.doi.org/10.54691/bcpbm.v26i.2053.

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In order to construct an investment portfolio, it is crucial to select risky assets and arrange the weights to each asset. This article selects 6 stocks to compose the portfolio and compare their performances under 5 constraints that are always considered in real life by using Markowitz Model and Index Model. These two models would produce different investment portfolios as they take different factors of stock into account. By calculating the maximal return rate determined by Sharpe ratio, and the minimal risk rate determined by standard deviation, comparing the two models and conclude which m
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Kiendrebeogo, R. Weizmann, Amanda M. Farah, Emily M. Foley, et al. "Updated Observing Scenarios and Multimessenger Implications for the International Gravitational-wave Networks O4 and O5." Astrophysical Journal 958, no. 2 (2023): 158. http://dx.doi.org/10.3847/1538-4357/acfcb1.

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Abstract An advanced LIGO and Virgo’s third observing run brought another binary neutron star merger (BNS) and the first neutron-star black hole mergers. While no confirmed kilonovae were identified in conjunction with any of these events, continued improvements of analyses surrounding GW170817 allow us to project constraints on the Hubble Constant (H 0), the Galactic enrichment from r-process nucleosynthesis, and ultra-dense matter possible from forthcoming events. Here, we describe the expected constraints based on the latest expected event rates from the international gravitational-wave net
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Kundu, Soumita, Tripti Chakrabarti, and Dipak Kumar Jana. "Optimal Manufacturing-Remanufacturing Production Policy for a Closed-Loop Supply Chain under Fill Rate and Budget Constraint in Bifuzzy Environments." International Journal of Mathematics and Mathematical Sciences 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/690435.

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We study a closed-loop supply chain involving a manufacturing facility and a remanufacturing facility. The manufacturer satisfies stochastic market demand by remanufacturing the used product into “as-new” one and producing new products from raw material in the remanufacturing facility and the manufacturing facility, respectively. The remanufacturing cost depends on the quality of used product. The problem is maximizing the manufacturer’s expected profit by jointly determining the collected quantity of used product and the ordered quantity of raw material. Following that we analyze the model wi
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Wen, Yuzhen, and Chuancun Yin. "Optimal Expected Utility of Dividend Payments with Proportional Reinsurance under VaR Constraints and Stochastic Interest Rate." Journal of Function Spaces 2020 (August 11, 2020): 1–13. http://dx.doi.org/10.1155/2020/4051969.

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In this paper, we consider the problem of maximizing the expected discounted utility of dividend payments for an insurance company taking into account the time value of ruin. We assume the preference of the insurer is of the CRRA form. The discounting factor is modeled as a geometric Brownian motion. We introduce the VaR control levels for the insurer to control its loss in reinsurance strategies. By solving the corresponding Hamilton-Jacobi-Bellman equation, we obtain the value function and the corresponding optimal strategy. Finally, we provide some numerical examples to illustrate the resul
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Cameron, Richard. "Ambiguous agreement, functional compensation, and nonspecific tú in the Spanish of San Juan, Puerto Rico, and Madrid, Spain." Language Variation and Change 5, no. 3 (1993): 305–34. http://dx.doi.org/10.1017/s0954394500001526.

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ABSTRACTRichness of subject-verb agreement is implicit in the functional compensation interpretation of variable second person /-s/ in Puerto Rican Spanish (PRS). Because /-s/ is not variable in Madrid Spanish (MS), richer agreement is assumed, and a lower rate of pronominal expression is expected. Central to this interpretation are effects associated with ambiguous marking of person on finite singular verbs. Although an increase of pronominal expression correlates to ambiguous marking for PRS speakers, a similar result has not been reported for MS speakers. Nonetheless, a varbrul analysis yie
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Yamani, Ehab, and David Rakowski. "Cash Flow and Discount Rate Risk in the Investment Effect: A Downside Risk Approach." Quarterly Journal of Finance 08, no. 03 (2018): 1850002. http://dx.doi.org/10.1142/s2010139218500027.

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We examine whether sensitivities to cash flow and discount rate risk in down markets explain the investment effect, in which low-investment stocks earn higher expected returns than high-investment stocks. We show how productivity and financing constraints asymmetrically impact the systematic risk of low-investment and high-investment firms, conditional on market state. Our evidence is consistent with both productivity constraints and financing constraints as explanations for the investment effect, but, contrary to expectations, more when prices are rising than falling.
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Dang, Yinglong, Xiaoguang Gao, and Zidong Wang. "A Novel Hyper-Heuristic Algorithm with Soft and Hard Constraints for Causal Discovery Using a Linear Structural Equation Model." Entropy 27, no. 1 (2025): 38. https://doi.org/10.3390/e27010038.

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Artificial intelligence plays an indispensable role in improving productivity and promoting social development, and causal discovery is one of the extremely important research directions in this field. Acyclic directed graphs (DAGs) are the most commonly used tool in causal modeling because of their excellent interpretability and structural properties. However, in the face of insufficient data, the accuracy and efficiency of DAGs learning are greatly reduced, resulting in a false perception of causality. As intuitive expert knowledge, structural constraints control DAG learning by limiting the
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Chava, Sudheer, and Alex Hsu. "Financial Constraints, Monetary Policy Shocks, and the Cross-Section of Equity Returns." Review of Financial Studies 33, no. 9 (2019): 4367–402. http://dx.doi.org/10.1093/rfs/hhz140.

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Abstract We analyze the impact ofa unanticipated monetary policy changes on the cross-section of U.S. equity returns. Financially constrained firms earn a significantly lower (higher) return following surprise interest rate increases (decreases) as compared to unconstrained firms. This differential return response between constrained and unconstrained firms appears after a delay of 3 to 4 days. Further, unanticipated Federal funds rate increases are associated with a larger decrease in expected cash flow news, but not discount rate news, for constrained firms relative to unconstrained firms. A
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Schiffer, Benjamin, and Shirley Zhang. "Improved Regret Bounds for Online Fair Division with Bandit Learning." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 13 (2025): 14079–86. https://doi.org/10.1609/aaai.v39i13.33541.

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We study online fair division when there are a finite number of item types and the player values for the items are drawn randomly from distributions with unknown means. In this setting, a sequence of indivisible items arrives according to a random online process, and each item must be allocated to a single player. The goal is to maximize expected social welfare while maintaining that the allocation satisfies proportionality in expectation. When player values are normalized, we show that it is possible to with high probability guarantee proportionality constraint satisfaction and achieve O(√T)
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Marafico, Sullivan, Jonathan Biteau, Antonio Condorelli, Olivier Deligny, and Quentin Luce. "Observational constraints on accelerators of ultra-high energy cosmic rays." Journal of Physics: Conference Series 2429, no. 1 (2023): 012012. http://dx.doi.org/10.1088/1742-6596/2429/1/012012.

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Abstract We explore two generic hypotheses for tracing the sources of ultra-high energy cosmic rays (UHECRs) in the Universe: star formation rate density or stellar mass density. For each scenario, we infer a set of constraints for the emission mechanisms in the accelerators, for their energetics and for the abundances of elements at escape from their environments. From these constraints, we generate sky maps above 40 EeV expected from a catalog that comprises 410,761 galaxies out to 350 Mpc and provides a near-infrared flux-limited sample to map both stellar mass and star formation rate over
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Dissertations / Theses on the topic "Expected-rate constraints"

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Hamad, Mustapha. "Sharing resources for enhanced distributed hypothesis testing." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAT029.

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Les tests d'hypothèses distribués ont de nombreuses applications dans la sécurité, la surveillance de la santé, le contrôle automobile ou la détection d'anomalies. À l'aide de capteurs distribués, les centres de décision de ces systèmes visent à distinguer une situation normale (hypothèse nulle) d'une situation d'alerte (hypothèse alternative). Nous nous concentrons sur la maximisation de la décroissance exponentielle des probabilités d'erreur de type-II (correspondant aux détections manquées), avec un nombre croissant d'observations, tout en maintenant les probabilités d'erreur de type-I (cor
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Wong, Chung To (Charles). "Applications of constrained non-parametric smoothing methods in computing financial risk." Thesis, Queensland University of Technology, 2008. https://eprints.qut.edu.au/20537/1/Chung_To_Wong_Thesis.pdf.

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The aim of this thesis is to improve risk measurement estimation by incorporating extra information in the form of constraint into completely non-parametric smoothing techniques. A similar approach has been applied in empirical likelihood analysis. The method of constraints incorporates bootstrap resampling techniques, in particular, biased bootstrap. This thesis brings together formal estimation methods, empirical information use, and computationally intensive methods. In this thesis, the constraint approach is applied to non-parametric smoothing estimators to improve the estimation or modell
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Wong, Chung To (Charles). "Applications of constrained non-parametric smoothing methods in computing financial risk." Queensland University of Technology, 2008. http://eprints.qut.edu.au/20537/.

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The aim of this thesis is to improve risk measurement estimation by incorporating extra information in the form of constraint into completely non-parametric smoothing techniques. A similar approach has been applied in empirical likelihood analysis. The method of constraints incorporates bootstrap resampling techniques, in particular, biased bootstrap. This thesis brings together formal estimation methods, empirical information use, and computationally intensive methods. In this thesis, the constraint approach is applied to non-parametric smoothing estimators to improve the estimation or modell
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Books on the topic "Expected-rate constraints"

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Jappelli, Tullio, and Luigi Pistaferri. Lifetime Uncertainty. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780199383146.003.0011.

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Lifetime uncertainty represents an additional risk that affects intertemporal choice, because consumers may live longer than expected and run the risk of exhausting the resources accumulated for retirement. Lifetime uncertainty introduces an incentive to consume earlier in life because consumers discount future utility at a higher rate. Second, since in each period there is some positive probability that the consumer will not survive to the next period, the terminal condition on wealth corresponds effectively to a liquidity constraint. Third, with lifetime uncertainty, the decumulation of weal
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Book chapters on the topic "Expected-rate constraints"

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Sandström, Rolf. "Creep with Low Stress Exponents." In Basic Modeling and Theory of Creep of Metallic Materials. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-49507-6_5.

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AbstractPrimary creep models predict that at low stresses a stress exponent of 1 can be obtained for dislocation creep. Also experimentally this has been observed for an austenitic stainless steel. The time dependence of the primary creep verifies that it is dislocation creep. An other example is for Al at very high temperatures (Harper-Dorn creep), where at sufficiently low stresses, the stress exponent approaches 1. For both materials higher stresses give larger stress exponents as expected for dislocation creep. Obviously, diffusion and dislocation creep can be competing processes. The vali
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Chaikalis, Costas, and Felip Riera-Palou. "Efficient Receiver Implementation for Mobile Applications." In Handbook of Research on Heterogeneous Next Generation Networking. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-108-7.ch013.

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Modern and future wireless communication systems such as UMTS and beyond 3G systems (B3G) are expected to support very high data rates to/from mobile users. This poses important challenges on the handset design as they should be able to attain an acceptable operating bit error rate (BER) while employing a limited set of resources (i.e. low complexity, low power) and often, with tight processing delay constraints. In this chapter we study how channel decoding and equalisation, two widely used mechanisms to combat the deleterious channel effects, can be made adaptable in accordance to the instan
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Keerthivasan K and Shibu S. "5G Wireless/Wired Convergence of UFMC Based Modulation for Intensity Modulation Direct Detection." In Advances in Parallel Computing. IOS Press, 2021. http://dx.doi.org/10.3233/apc210094.

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Faster data speeds, shorter end-to-end latencies, improved end-user service efficiency, and a wider range of multi-media applications are expected with the new 5G wireless services. The dramatic increase in the number of base stations required to meet these criteria, which undermines the low-cost constraints imposed by operators, demonstrates the need for a paradigm shift in modern network architecture. Alternative formats will be required for next-generation architectures, where simplicity is the primary goal. The number of connections is expected to increase rapidly, breaking the inherent co
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Cyr, Hélène. "Individual Energy Use and the Allometry of Population Density." In Scaling in Biology. Oxford University PressNew York, NY, 2000. http://dx.doi.org/10.1093/oso/9780195131413.003.0015.

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Abstract Physiologists have known for a long time that the rate at which organisms function, for example how fast they eat, grow, or respire, is related exponentially to their body mass (i.e., physiological rate ex (body mass)b). The exponents of these relationships (b) are remarkably constant, around 0.75 [15, 103]. Therefore, physiological rates in an individual (e.g., rates of feeding or growth) increase less than proportionately with increases in its body mass. In other words, per unit biomass (e.g., per kg of organisms) small organisms have higher physiological rates than larger organisms
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Belli, Laura, Simone Cirani, Luca Davoli, Gianluigi Ferrari, Lorenzo Melegari, and Marco Picone. "Applying Security to a Big Stream Cloud Architecture for the Internet of Things." In Securing the Internet of Things. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9866-4.ch057.

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The Internet of Things (IoT) is expected to interconnect billions (around 50 by 2020) of heterogeneous sensor/actuator-equipped devices denoted as “Smart Objects” (SOs), characterized by constrained resources in terms of memory, processing, and communication reliability. Several IoT applications have real-time and low-latency requirements and must rely on architectures specifically designed to manage gigantic streams of information (in terms of number of data sources and transmission data rate). We refer to “Big Stream” as the paradigm which best fits the selected IoT scenario, in contrast to
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Chen Siqi and Weiss Gerhard. "An Efficient and Adaptive Approach to Negotiation in Complex Environments." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-098-7-228.

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This paper studies automated bilateral negotiation among self-interested agents in complex application domains which consist of multiple issues and real-time constraints and where the agents have no prior knowledge about their opponents' preferences and strategies. We describe a novel negotiation approach called OMAC (standing for “Opponent Modeling and Adaptive Concession”) which combines efficient opponent modeling and adaptive concession making. Opponent modeling is achieved through standard wavelet decomposition and cubic smoothing spline, and concession adaptivity is a
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Zverovich, Vadim. "Graph Models for Backbone Sets and Limited Packings in Networks." In Modern Applications of Graph Theory. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198856740.003.0004.

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Here, a graph-theoretic approach is applied to some problems in networks, for example in wireless sensor networks (WSNs) where some sensor nodes should be selected to behave as a backbone/dominating set to support routing communications in an efficient and fault-tolerant way. Four different types of multiple domination (k-, k-tuple, α‎- and α‎-rate domination) are considered and recent upper bounds for cardinality of these types of dominating sets are discussed. Randomized algorithms are presented for finding multiple dominating sets whose expected size satisfies the upper bounds. Limited pack
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Heiser, Willem J., and Jacqueline J. Meulman. "Nonlinear Methods for the Analysis of Homogeneity and Heterogeneity." In Recent Advances In Descriptive Multivariate Analysis. Oxford University PressOxford, 1995. http://dx.doi.org/10.1093/oso/9780198522850.003.0004.

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Abstract Although nonlinear phenomena are ubiquitous in science and technology, the majority of methods for analysing statistical data is linear. Part of an answer to the puzzling question of how such a discrepancy could have come into existence would seem to be that first approximations are hard to beat. Statistics often enters the stage when the subject of study is badly understood, and then it is sensible to use linear approximation as a first try. If linear approximation does reasonably well, not infrequently after being aided by quite some effort on data cleaning and readjustment of resid
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Zhai, Yongning, and Weiwei Li. "The Optimal Checkpoint Interval for the Long-Running Application." In Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5339-8.ch125.

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For the distributed computing system, excessive or deficient checkpointing operations would result in severe performance degradation. To minimize the expected computation execution of the long-running application with a general failure distribution, the optimal equidistant checkpoint interval for fault tolerant performance optimization is analyzed and derived in this paper. More precisely, the optimal checkpointing period to determine the proper checkpoint sequence is proposed, and the derivation of the expected effective rate of the defined computation cycle is introduced. Corresponding to th
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Tatar, Marc. "Senescence." In Evolutionary Ecology. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195131543.003.0015.

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At all taxonomic levels, there exists tremendous variation in life expectancy. A field mouse Peromyscus may live 1.2 years, while the African elephant may persist for 60 years, and even a mousesized bat such as Corynorhinus rafinesquei lives a healthy 20 years (Promislow 1991). Part of this variance is caused by differences in ecological risks, rodents being perhaps the most susceptible to predation, and to vagaries of climate and resources. Another portion is caused by differences in senescence, the intrinsic degeneration of function that produces progressive decrement in age-specific surviva
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Conference papers on the topic "Expected-rate constraints"

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Yarbrough, Mark E., and Lon C. Brouse. "Cooling Tower Blowdown Reduction at Palo Verde Nuclear Generating Station." In CORROSION 1993. NACE International, 1993. https://doi.org/10.5006/c1993-93650.

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Abstract Palo Verde Nuclear Generating Station, operated by Arizona Public Service Company, is comprised of three 1,270 MW pressurized water reactors. The plant site is 55 miles west of Phoenix, Arizona, in the Sonoran desert. The Water Reclamation Facility is an on-site, 90 million gallon per day tertiary treatment plant, that receives secondary treated sewage from the cities of Phoenix and Tolleson. The plant operating license requires zero water discharge from the site. Evaporation ponds collect and detain tower blowdown and other non-radioactive wastewater streams. Original guidelines for
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Bryan, C. R., and E. J. Schindelholz. "Properties of Brines Formed by Deliquescence of Sea-Salt Aerosols." In CORROSION 2018. NACE International, 2018. https://doi.org/10.5006/c2018-10516.

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Abstract For long-term dry storage, most spent nuclear fuel in the United States is placed in welded 304 SS or 316 SS canisters that are stored within passively ventilated overpacks. As the canisters cool, sea-salt aerosols deposited on the canister surfaces will deliquesce to form potentially corrosive brines. We have used thermodynamic modeling to predict the chemical composition of the brines that form by deliquescence of sea-salt aerosols, and to estimate brine volumes and salt/brine volume ratios as a function of temperature and atmospheric relative humidity. We have also mixed representa
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Hamad, Mustapha, Michele Wigger, and Mireille Sarkiss. "Optimal Exponents in Cascaded Hypothesis Testing under Expected Rate Constraints." In 2021 IEEE Information Theory Workshop (ITW). IEEE, 2021. http://dx.doi.org/10.1109/itw48936.2021.9611470.

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Hamad, Mustapha, Michele Wigger, and Mireille Sarkiss. "Two-Hop Network with Multiple Decision Centers under Expected-Rate Constraints." In GLOBECOM 2021 - 2021 IEEE Global Communications Conference. IEEE, 2021. http://dx.doi.org/10.1109/globecom46510.2021.9685750.

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Toktas, Omer Lutfu, Quang Minh Nguyen, Mustafa Onur, and Faruk Omer Alpak. "Nonlinearly Constrained Life-Cycle Production Optimization Under Geological Uncertainty: A Realistic Application." In SPE Annual Technical Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/220821-ms.

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Abstract The objective of this study is to present a realistic application of our previously developed nonlinearly constrained stochastic gradient-based optimization framework that can efficiently solve nonlinearly constrained robust production optimization problems. We apply the optimization framework to a synthetic, yet realistic, field optimization problem using multiple history-matched realizations of the geologic model. For the synthetic realistic field example, the reservoir is assumed to undergo production for several years. Well controls (BHPs for producers and water injection rates fo
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Jialin He and Dinesh Rajan. "Expected rate of slow-fading channel with partial CSIT under computational and transmit power constraints." In 2013 IEEE Global Communications Conference (GLOBECOM 2013). IEEE, 2013. http://dx.doi.org/10.1109/glocom.2013.6831352.

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Li, James C. F., and Subhrakanti Dey. "Optimum Power Allocation for Expected Achievable Rate Maximization with Outage Constraints in Cooperative Relay Networks." In 2009 IEEE Wireless Communications and Networking Conference. IEEE, 2009. http://dx.doi.org/10.1109/wcnc.2009.4917873.

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Ugarte, Sergio, Mohamad Metghalchi, and James C. Keck. "Methanol Oxidation Induction Times Using the Rate-Controlled Constrained-Equilibrium Method." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-55289.

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Methanol oxidation has been modeled using the Rate-Controlled Constrained-Equilibrium method (RCCE). In this method, composition of the system is determined by constraints rather than by species. Since the number of constraints can be much smaller than the number of species present, the number of rate equations required to describe the time evolution of the system can be considerably reduced. In the present paper, C1 chemistry with 29 species and 140 reactions has been used to investigate the oxidation of stoichiometric methanol/oxygen mixture at constant energy and volume. Three fixed element
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Nguyen, Quang, Mustafa Onur, and Faruk Omer Alpak. "Nonlinearly Constrained Life-Cycle Production Optimization Using Sequential Quadratic Programming (SQP) With Stochastic Simplex Approximated Gradients (StoSAG)." In SPE Reservoir Simulation Conference. SPE, 2023. http://dx.doi.org/10.2118/212178-ms.

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Summary Life-cycle production optimization is a crucial component of closed-loop reservoir management, referring to optimizing a production-driven objective function via varying well controls during a reservoir's lifetime. When nonlinear-state constraints (e.g., field liquid production rate and field gas production rate) at each control step need to be honored, solving a large-scale production optimization problem, particularly in geological uncertainty, becomes significantly challenging. This study presents a stochastic gradient-based framework to efficiently solve a nonlinearly constrained d
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Mogensen, K., S. Samajpati, L. Kunakbayeva, A. H. Danardatu, and M. AlZaabi. "Detailed Integrated Asset Model Boosts Water Injection Potential in Giant Fields." In SPE Water Lifecycle Management Conference and Exhibition. SPE, 2024. http://dx.doi.org/10.2118/219047-ms.

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Abstract Integrated asset models for the water injection networks have been developed to complement the optimization of oil production while honoring system constraints and balancing offtake across the reservoirs. A well-calibrated asset model enables operation closer to the system constraints leading to higher water injection rate potential and the ability to better allocate water to the right drainage regions. The integrated model comprises individual well models linked to a surface network model. While the well modeling itself is uncomplicated due to single-phase flow conditions, complicati
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Reports on the topic "Expected-rate constraints"

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Monetary Policy Report, January 2025. Banco de la República, 2025. https://doi.org/10.32468/inf-pol-mont-eng.tr1-2025.

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While inflation fell significantly in 2024, it continues above the 3% target. However, monetary policy measures and corrections in particular factors that exert upward price pressures have helped direct inflation toward the objective. Economic activity continues to recover and is expected to continue growing. The monetary policy interest rate is compatible with the convergence of inflation to its 3% target and the gradual recovery of economic growth toward more sustainable levels. Inflation has fallen significantly, from 9.3% in 2023 to 5.2% in 2024. During this year and into the next, inflati
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