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Статті в журналах з теми "Multiples priors"
Sbuelz, Alessandro, and Fabio Trojani. "Asset prices with locally constrained-entropy recursive multiple-priors utility." Journal of Economic Dynamics and Control 32, no. 11 (November 2008): 3695–717. http://dx.doi.org/10.1016/j.jedc.2008.03.002.
Повний текст джерелаBlanchard, Romain, and Laurence Carassus. "Short Communication: Super-Replication Prices with Multiple Priors in Discrete Time." SIAM Journal on Financial Mathematics 13, no. 2 (May 16, 2022): SC53—SC65. http://dx.doi.org/10.1137/22m1470013.
Повний текст джерелаEpstein, Larry G., and Martin Schneider. "Recursive multiple-priors." Journal of Economic Theory 113, no. 1 (November 2003): 1–31. http://dx.doi.org/10.1016/s0022-0531(03)00097-8.
Повний текст джерелаGhirardato, Paolo, Peter Klibanoff, and Massimo Marinacci. "Additivity with multiple priors." Journal of Mathematical Economics 30, no. 4 (November 1998): 405–20. http://dx.doi.org/10.1016/s0304-4068(97)00047-5.
Повний текст джерелаChateauneuf, Alain, Fabio Maccheroni, Massimo Marinacci, and Jean-Marc Tallon. "Monotone continuous multiple priors." Economic Theory 26, no. 4 (November 2005): 973–82. http://dx.doi.org/10.1007/s00199-004-0540-2.
Повний текст джерелаD’Andrea, Amanda M. E., Vera L. D. Tomazella, Hassan M. Aljohani, Pedro L. Ramos, Marco P. Almeida, Francisco Louzada, Bruna A. W. Verssani, Amanda B. Gazon, and Ahmed Z. Afify. "Objective bayesian analysis for multiple repairable systems." PLOS ONE 16, no. 11 (November 23, 2021): e0258581. http://dx.doi.org/10.1371/journal.pone.0258581.
Повний текст джерелаMarinacci, Massimo. "Probabilistic Sophistication and Multiple Priors." Econometrica 70, no. 2 (March 2002): 755–64. http://dx.doi.org/10.1111/1468-0262.00303.
Повний текст джерелаAlon, Shiri, and Gabi Gayer. "Utilitarian Preferences With Multiple Priors." Econometrica 84, no. 3 (2016): 1181–201. http://dx.doi.org/10.3982/ecta12676.
Повний текст джерелаAmarante, Massimiliano. "Ambiguity, measurability and multiple priors." Economic Theory 26, no. 4 (November 2005): 995–1006. http://dx.doi.org/10.1007/s00199-004-0559-4.
Повний текст джерелаMadan, Dilip B., and Robert J. Elliott. "Multiple Priors and Asset Pricing." Methodology and Computing in Applied Probability 11, no. 2 (February 28, 2008): 211–29. http://dx.doi.org/10.1007/s11009-007-9051-5.
Повний текст джерелаДисертації з теми "Multiples priors"
Lacaussade, Charles-Thierry. "Evaluation d'actifs financiers et frictions de marché." Electronic Thesis or Diss., Université Paris sciences et lettres, 2024. http://www.theses.fr/2024UPSLD021.
Повний текст джерелаThis thesis aims to provide innovative theoretical and empirical methods for valuing securities to economics researchers, market makers, and participants, including brokers, dealers, asset managers, and regulators. We propose an extension of the Fundamental Theorem of Asset Pricing (FTAP) tailored to markets with financial frictions. Hence, our asset pricing methodologies allow for more tractable bid and ask prices, as observed in the financial market. This thesis provides both theoretical models and an empirical application of the pricing rule with bid-ask spreads.In our first chapter, we introduce two straightforward closed-form pricing expressions for securities in two-date markets, encompassing a variety of frictions (transaction cost, taxes, commission fees). This result relies on a novel absence of arbitrage condition tailored to the market with frictions considering potential buy and sell strategies. Furthermore, these asset pricing models both rely on non-additive probability measures. The first is a Choquet pricing rule, for which we offer a particular case adapted for calibration, and the second is a Multiple Priors pricing rule.In the second chapter, as a step toward generalizing our asset pricing models, we provide the necessary and sufficient conditions for multi-period pricing rules characterized by bid-ask spreads. We extend the multi-period version of the Fundamental Theorem of Asset Pricing by assuming the existence of market frictions. We show that it is possible to model a dynamic multi-period pricing problem with a one-stage pricing problem when the filtration is frictionless, which is equivalent to assuming the martingale property, which is equivalent to assuming price consistency.Finally, in the third chapter, we give the axiomatization of a particular class of Choquet pricing rule, namely Rank-Dependent pricing rules assuming the absence of arbitrage and put-call parity. Rank-dependent pricing rules have the appealing feature of being easily calibrated because the non-additive probability measure takes the form of a distorted objective probability. Therefore, we offer an empirical study of these Rank-Dependent pricing rules through a parametric calibration on market data to explore the impact of market frictions on prices. We also study the empirical validity of the put-call parity. Furthermore, we investigate the impact of time to expiration (time value) and moneyness (intrinsic value) on the shape of the distortion function. The resulting rank-dependent pricing rules always exhibit a greater accuracy than the benchmark (FTAP). Finally, we relate the market frictions to the market's risk aversion
Li, Ang. "Diffuse optical tomography with multiple priors /." Thesis, Connect to Dissertations & Theses @ Tufts University, 2005.
Знайти повний текст джерелаAdvisers: David A. Boas; Yaacov Shapira. Submitted to the Dept. of Physics. Includes bibliographical references (leaves 113-126). Access restricted to members of the Tufts University community. Also available via the World Wide Web;
Blanchard, Romain. "Application du contrôle stochastique en théorie de la décision avec croyances multiples et non dominées en temps." Thesis, Reims, 2017. http://www.theses.fr/2017REIMS006/document.
Повний текст джерелаThis dissertation evolves around the following three general thematic: uncertainty, utility and no-arbitrage.In the first chapter we establish the existence of an optimal portfolio for investor trading in a multi-period and discrete-time financial market without uncertainty and maximising its terminal wealth expected utility. We consider general non-concave and non-smooth random utility function defined on the half real-line. The proof is based on dynamic programming and measure theory tools.In the next three chapters, we introduce the concept of Knightian uncertainty and adopt the multi-prior non dominated and discrete time framework introduced in [25]..In this setting, in the second chapter we study the notion of quasi-sure no-arbitrage introduced in [25] and propose two equivalent definitions: a quantitative and geometric characterisation. We also introduce a stronger no-arbitrage condition that simplifies some of the measurability difficulties.In the third chapter, we build on the results obtained in the previous chapter to study the maximisation of multiple-priors non-dominated worst-case expected utility for investors trading in a multi-period and discrete-time financial for general concave utility functions defined on the half-real line unbounded from above. The proof uses again a dynamic programming framework together with measurable selection.Finally the last chapter formulates a utility indifference pricing model for investor trading in a multi-period and discrete-time financial market. We prove that under suitable condition the multiples-priors utility indifference prices of a contingent claim converge to its multiple-priors superreplication price
Dumont, Julien. "Optimisation conjointe de l'émetteur et du récepteur par utilisation des a priori du canal dans un contexte MIMO." Marne-la-Vallée, 2006. http://www.theses.fr/2006MARN0310.
Повний текст джерелаMcShane, Charlene. "Prior medical history, drug exposure and risk of multiple myeloma." Thesis, Queen's University Belfast, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678815.
Повний текст джерелаNordin, Henrik, and Gustav Klockby. "Bestämningsfaktorer till regionala bostadspriser : En analys av de svenska länen för perioden 1993-2012." Thesis, Linköpings universitet, Nationalekonomi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-111160.
Повний текст джерелаThe housing market is one of the greatest assets markets in a given country. Therefore, changes in housing prices have a big impact on the single household, the financial system and the economic system as a whole. Due to the housing markets vital role in the society, many scientific studies have been done with the purpose of enlighten and discover the dynamics of the Swedish housing market. The focuses in these earlier studies have more than often taken a metropolitan perspective or compared the Swedish housing market with other countries. However, this study divides the Swedish housing market into regional county level with the purpose of analyzing determinants of housing prices due to county specific variables. By analyzing the housing prices due to county specific factors a contributing goal with this study is to deepen the understanding about the dynamics in the Swedish housing market. In this study we have used multiple regressions in order to work with panel data. The Fixed Effect Model fitted our purpose well which is why that kind of model was used in order to estimate the housing prices for every single Swedish county. The conclusions drawn in this study are that disposable income, people density and employment rate are all statistically significant on one percent level in order to explain the housing price at state level. We have also discovered that, during the observed period, the relative differences in housing prices between the different states have increased. Finally, the differences found between the real housing prices and the estimated housing prices, can be explained by the assumption that the housing market is driven by emotions and speculations.
Gustafsson, Alexander, and Sebastian Wogenius. "Modelling Apartment Prices with the Multiple Linear Regression Model." Thesis, KTH, Matematisk statistik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146735.
Повний текст джерелаDenna uppsats undersöker faktorer som är av störst statistisk signifikans för priset vid försäljning av lägenheter i Stockholms innerstad. Faktorer som undersöks är adress, yta, balkong, byggår, hiss, kakelugn, våningsnummer, etage, månadsavgift, vindsvåning och antal rum. Utifrån denna undersökning konstrueras en modell för att predicera priset på lägenheter. För att avgöra vilka faktorer som påverkar priset på lägenheter analyseras försäljningsstatistik. Den matematiska metoden som används är multipel linjär regressionsanalys. I en mindre litteratur- och fallstudie, inkluderad i denna uppsats, undersöks sambandet mellan närhet till kollektivtrafik och priset på läagenheter i Stockholm. Resultatet av denna uppsats visar att det är möjligt att konstruera en modell, utifrån de faktorer som undersöks, som kan predicera priset på läagenheter i Stockholms innerstad med en förklaringsgrad på 91 % och ett två miljoner SEK konfidensintervall på 95 %. Vidare dras en slutsats att modellen preciderar lägenheter med ett lägre pris noggrannare. I litteratur- och fallstudien indikerar resultatet stöd för hypotesen att närhet till kollektivtrafik är positivt för priset på en lägenhet. Detta skall dock betraktas med försiktighet med anledning av syftet med modelleringen vilket skiljer sig mellan en individuell tillämpning och en samhällsekonomisk tillämpning.
Clapham, Eric S. "Picture priming multiple primes under conditions of normal and limited awareness /." abstract and full text PDF (UNR users only), 2009. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3355576.
Повний текст джерелаFranciscani, Juliana de Fátima [UNESP]. "Consenso Iterativo: geração de implicantes primos para minimização de funções booleanas com múltiplas saídas." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/144517.
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Com a evolução e difusão do desenvolvimento de equipamentos utilizando microtecnologia e nanotecnologia, circuitos cada vez menores, mais eficientes e que consomem menos energia, são necessários. Os métodos de minimização de funções booleanas tornam-se relevantes por possibilitarem a otimização de circuitos lógicos, através da geração de circuitos que possuam a mesma funcionalidade, porém, minimizados. Estudos na área de minimização de funções booleanas são realizados há muito tempo, e estão sendo adaptados às novas tecnologias. A geração de implicantes primos de uma função booleana é um dos passos para a cobertura dos mintermos da função e, consequentemente, para a obtenção da função de custo mínimo. Neste trabalho, a Primeira Fase do Método de Quine-McCluskey para Funções Booleanas com Múltiplas Saídas (QMM) foi implementada para posterior comparação com os Métodos Propostos GPMultiplo e MultiGeraPlex (baseados na filosofia do algoritmo GeraPlex). Os métodos propostos geram os implicantes primos de uma função booleana com múltiplas saídas e utilizam a operação de consenso iterativo para comparar dois termos. Os resultados obtidos, através da comparação do GPMultiplo, MultiGeraPlex e da Primeira Fase do Método de QMM, puderam comprovar que a aplicação dos métodos propostos torna-se mais viável e vantajosa por permitir menor tempo de execução e uso de memória, menor quantidade de implicantes gerados e de comparações entre os termos.
With the evolution and spread of the development of equipment using microtechnology and nanotechnology, circuits in need are smaller, more efficient and consume less power. Methods of Minimizing Boolean Functions become important as they allow optimization of logic circuits by generating circuits having the same functionality, but minimized. Studies in Minimizing Boolean Functions area are carried out long ago, and are being adapted to new technologies. The generation of prime implicants of a Boolean function is one of the steps for covering the function of the minterms, and consequently to obtain the minimum cost function. In this work, the first phase of the Quine-McCluskey Method for Booleans Functions with Multiple Output (QMM) was implemented for comparison with Proposed Methods GPMultiplo and MultiGeraPlex (based on the philosophy of GeraPlex algorithm). The proposed methods generates the prime implicants of a Boolean Function with Multiple Output and using the iterative consensus operation to compare two terms. The results obtained by comparing the GPMultiplo, MultiGeraPlex and the first phase of the QMM Method, were able to prove that the application of the proposed methods becomes more feasible and advantageous, by allowing smaller execution time, number of implicants and number of comparisons.
Franciscani, Juliana de Fátima. "Consenso Iterativo : geração de implicantes primos para minimização de funções booleanas com múltiplas saídas /." Ilha Solteira, 2016. http://hdl.handle.net/11449/144517.
Повний текст джерелаResumo: Com a evolução e difusão do desenvolvimento de equipamentos utilizando microtecnologia e nanotecnologia, circuitos cada vez menores, mais eficientes e que consomem menos energia, são necessários. Os métodos de minimização de funções booleanas tornam-se relevantes por possibilitarem a otimização de circuitos lógicos, através da geração de circuitos que possuam a mesma funcionalidade, porém, minimizados. Estudos na área de minimização de funções booleanas são realizados há muito tempo, e estão sendo adaptados às novas tecnologias. A geração de implicantes primos de uma função booleana é um dos passos para a cobertura dos mintermos da função e, consequentemente, para a obtenção da função de custo mínimo. Neste trabalho, a Primeira Fase do Método de Quine-McCluskey para Funções Booleanas com Múltiplas Saídas (QMM) foi implementada para posterior comparação com os Métodos Propostos GPMultiplo e MultiGeraPlex (baseados na filosofia do algoritmo GeraPlex). Os métodos propostos geram os implicantes primos de uma função booleana com múltiplas saídas e utilizam a operação de consenso iterativo para comparar dois termos. Os resultados obtidos, através da comparação do GPMultiplo, MultiGeraPlex e da Primeira Fase do Método de QMM, puderam comprovar que a aplicação dos métodos propostos torna-se mais viável e vantajosa por permitir menor tempo de execução e uso de memória, menor quantidade de implicantes gerados e de comparações entre os termos.
Mestre
Книги з теми "Multiples priors"
Koop, Gary. Prior elicitation in multiple change-point models. [New York, N.Y.]: Federal Reserve Bank of New York, 2004.
Знайти повний текст джерелаOldenburg, Claes. Claes Oldenburg: Prints and multiples. New York: Susan Sheehan Gallery, 1990.
Знайти повний текст джерелаIndo-US Print Exhibition (1st 2004-2006 Indira Gandhi National Centre for the Arts). Multiple encounters: Indo-US Print Exhibition in India : 2004-2006. New Delhi: K.R. Subbanna, 2004.
Знайти повний текст джерелаHashem, Pesaran M. Forecasting time series subject to multiple structural breaks. Bonn, Germany: IZA, 2004.
Знайти повний текст джерелаHubbard, R. Glenn. Long-term contracting and multiple-price systems. Cambridge, MA: National Bureau of Economic Research, 1991.
Знайти повний текст джерелаMünchen, Haus der Kunst, ed. Made in Munich: Editionen von 1968 bis 2008. Köln: Verlag der Buchhandlung Walther König, 2011.
Знайти повний текст джерелаBayer, Galerie, Ida Kerkovius Archiv, and Museum im Kleihues-Bau, eds. Ida Kerkovius: 1879-1970 : Werkverzeichnis der Serigraphien, Lithographien, Multiples. Kornwestheim: Museen der Stadt Kornwestheim, Museum im Kleihues-Bau, 2012.
Знайти повний текст джерелаDonald, Judd. Donald Judd, prints and works in editions: A catalogue raisonné. 2nd ed. Munich: Edition Schellmann, 1996.
Знайти повний текст джерелаDonald, Judd. Donald Judd, prints and works in editions: A catalogue raisonné. Cologne: Edition Schellmann, 1993.
Знайти повний текст джерелаEngle, R. F. A multiple indicators model for volatility using intra-daily data. Cambridge, Mass: National Bureau of Economic Research, 2003.
Знайти повний текст джерелаЧастини книг з теми "Multiples priors"
Madrigal, Francisco, Mariano Rivera, and Jean-Bernard Hayet. "Multiple Target Tracking with Motion Priors." In Advances in Soft Computing, 407–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25330-0_36.
Повний текст джерелаShah, Abhay, Junjie Bai, Zhihong Hu, Srinivas Sadda, and Xiaodong Wu. "Multiple Surface Segmentation Using Truncated Convex Priors." In Lecture Notes in Computer Science, 97–104. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24574-4_12.
Повний текст джерелаQuenez, Marie-Claire. "Optimal Portfolio in a Multiple-Priors Model." In Seminar on Stochastic Analysis, Random Fields and Applications IV, 291–321. Basel: Birkhäuser Basel, 2004. http://dx.doi.org/10.1007/978-3-0348-7943-9_18.
Повний текст джерелаWickner, Reed B., Herman K. Edskes, Moonil Son, Songsong Wu, and Madaleine Niznikiewicz. "Yeast Prions Are Folded, In-Register Parallel Amyloids Subject to Multiple Anti-prion Systems." In Prions and Diseases, 599–618. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20565-1_29.
Повний текст джерелаDmochowski, Roger. "Severe Incontinence After Multiple Prior Procedures." In Female Urology, 387–90. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-368-4_34.
Повний текст джерелаSeo, Fumiko, and Masatoshi Sakawa. "Imputation of Dual Prices." In Multiple Criteria Decision Analysis in Regional Planning, 350–90. Dordrecht: Springer Netherlands, 1988. http://dx.doi.org/10.1007/978-94-009-4035-2_10.
Повний текст джерелаSouvenir, Richard, Jeremy Buhler, Gary Stormo, and Weixiong Zhang. "Selecting Degenerate Multiplex PCR Primers." In Lecture Notes in Computer Science, 512–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39763-2_36.
Повний текст джерелаBrown, Jennifer, Sarah Miller, Sara Northey, and Darragh O’Neill. "Attachments: The Multiple Sorting Task Procedure." In What Works in Therapeutic Prisons, 139–59. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137306210_8.
Повний текст джерелаKontorovich, Alex V. "A Pseudo Twin Primes Theorem." In Multiple Dirichlet Series, L-functions and Automorphic Forms, 287–98. Boston, MA: Birkhäuser Boston, 2012. http://dx.doi.org/10.1007/978-0-8176-8334-4_12.
Повний текст джерелаvan Ginkel, Joost R. "Handling Missing Data in Principal Component Analysis Using Multiple Imputation." In Essays on Contemporary Psychometrics, 141–61. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-10370-4_8.
Повний текст джерелаТези доповідей конференцій з теми "Multiples priors"
Lu, Jingjing, Yunchuan Qin, Fan Wu, Zhizhong Liu, Kenli Li, and Ruihui Li. "DeformingNet: Deforming Multiple Uniform 3D Priors for 3D Point Cloud Completion." In 2024 IEEE International Conference on Multimedia and Expo (ICME), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/icme57554.2024.10687458.
Повний текст джерелаMETOLINA, PATRÍCIA, ALEXANDER ARIYOSHI ZERWAS, ANDRÉ LUIZ NUNIS DA SILVA, and ROBERTO GUARDANI. "CFD MULTISCALE SIMULATION OF MULTIPLE GAS-SOLID REACTIONS IN THE INDUSTRIAL IRONMAKING PROCESS*." In 52º Seminário de Redução de Minérios e Matérias-Primas, 410–22. São Paulo: Editora Blucher, 2024. http://dx.doi.org/10.5151/2594-357x-41257.
Повний текст джерелаWang, Yiwen. "Research on Housing Prices Forecasts Based on A Multiple Linear Regression Model." In International Conference on Innovations in Applied Mathematics, Physics and Astronomy, 53–59. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012991000004601.
Повний текст джерелаHuo, Qiang, and Bin Ma. "Robust speech recognition based on off-line elicitation of multiple priors and on-line adaptive prior fusion." In 6th International Conference on Spoken Language Processing (ICSLP 2000). ISCA: ISCA, 2000. http://dx.doi.org/10.21437/icslp.2000-853.
Повний текст джерелаNakashizuka, Makoto. "Image regularization with multiple morphological gradient priors." In 2016 IEEE International Conference on Image Processing (ICIP). IEEE, 2016. http://dx.doi.org/10.1109/icip.2016.7532973.
Повний текст джерелаMaohua Dai, Xiaohai He, Zhengyong Wang, Honggang Chen, and Qingchuan Tao. "Video super-resolution using multiple complementary priors." In 2017 2nd International Conference on Image, Vision and Computing (ICIVC). IEEE, 2017. http://dx.doi.org/10.1109/icivc.2017.7984608.
Повний текст джерелаRuiz, Esmeralda, and Marco Reisert. "Image segmentation using normalized cuts with multiple priors." In SPIE Medical Imaging, edited by Sebastien Ourselin and David R. Haynor. SPIE, 2013. http://dx.doi.org/10.1117/12.2000277.
Повний текст джерелаWang, Zhongli, and Guohui Tian. "Salient Object Detection based on Multiple Priors Fusion*." In 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2019. http://dx.doi.org/10.1109/robio49542.2019.8961569.
Повний текст джерелаSong, Chao, Maria V. Sainz de Cea, and David Richmond. "Reading Mammography with Multiple Prior Exams." In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI). IEEE, 2020. http://dx.doi.org/10.1109/isbi45749.2020.9098350.
Повний текст джерелаUzunbas, M. Gokhan, Mujdat Cetin, Gozde Unal, and Aytul Ercil. "segmentation of multiple brain structures using coupled nonparametric shape priors." In 2008 IEEE 16th Signal Processing, Communication and Applications Conference (SIU). IEEE, 2008. http://dx.doi.org/10.1109/siu.2008.4632590.
Повний текст джерелаЗвіти організацій з теми "Multiples priors"
Finan, Frederico, and Demian Pouzo. Reinforcing RCTs with Multiple Priors while Learning about External Validity. Cambridge, MA: National Bureau of Economic Research, February 2022. http://dx.doi.org/10.3386/w29756.
Повний текст джерелаFrydman, Roman, Søren Johansen, Anders Rahbek, and Morten Nyboe Tabor. Asset Prices Under Knightian Uncertainty. Institute for New Economic Thinking Working Paper Series, December 2021. http://dx.doi.org/10.36687/inetwp172.
Повний текст джерелаDiCecio, Riccardo, and Levon Barseghyan. Optimal Monetary Policy, Endogenous Sticky Prices, and Multiple Equilibria. Federal Reserve Bank of St. Louis, 2005. http://dx.doi.org/10.20955/wp.2005.036.
Повний текст джерелаLeeper, Eric, Nora Traum, and Todd Walker. Clearing Up the Fiscal Multiplier Morass: Prior and Posterior Analysis. Cambridge, MA: National Bureau of Economic Research, July 2015. http://dx.doi.org/10.3386/w21433.
Повний текст джерелаBACKHOUSE, Lorna, Vasily DEMYANOV, and Mike CHRISTIE. Integrating prior knowledge through multiple kernel learning for the prediction of petroleum reservoir properties. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0264.
Повний текст джерелаZerbib, Olivier, Yaniv Hadi, Daniel Kovarsky, Gal Sahaf Levin, Tamar Gottesman, Mor Darkhovsky, and Shaul Lev. Multiple Recurrent Pneumothoraces and Thoracic Drain Insertion in a Mechanically Ventilated Patient Suffering from Methadone Induced Cardiomyopathy. Science Repository, January 2023. http://dx.doi.org/10.31487/j.jcmcr.2022.01.02.
Повний текст джерелаBadrinarayanan and Olsen. PR-179-11201-R01 Performance Evaluation of Multiple Oxidation Catalysts on a Lean Burn Natural Gas Engine. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), August 2012. http://dx.doi.org/10.55274/r0010772.
Повний текст джерелаKim, Changmo, Ghazan Khan, Brent Nguyen, and Emily L. Hoang. Development of a Statistical Model to Predict Materials’ Unit Prices for Future Maintenance and Rehabilitation in Highway Life Cycle Cost Analysis. Mineta Transportation Institute, December 2020. http://dx.doi.org/10.31979/mti.2020.1806.
Повний текст джерелаHarter, Rachel M., Pinliang (Patrick) Chen, Joseph P. McMichael, Edgardo S. Cureg, Samson A. Adeshiyan, and Katherine B. Morton. Constructing Strata of Primary Sampling Units for the Residential Energy Consumption Survey. RTI Press, May 2017. http://dx.doi.org/10.3768/rtipress.2017.op.0041.1705.
Повний текст джерелаBrown, Yolanda, Twonia Goyer, and Maragaret Harvey. Heart Failure 30-Day Readmission Frequency, Rates, and HF Classification. University of Tennessee Health Science Center, December 2020. http://dx.doi.org/10.21007/con.dnp.2020.0002.
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