يعرض 1 - 20 نتائج من 145 نتيجة بحث عن '"Modelo de Markov"', وقت الاستعلام: 1.78s تنقيح النتائج
  1. 1
    Dissertation/ Thesis

    المؤلفون: Fatti, Gianluca

    المساهمون: University/Department: Universitat Internacional de Catalunya. Departament de Medicina

    Thesis Advisors: Antón López, Alfonso

    المصدر: TDX (Tesis Doctorals en Xarxa)

    وصف الملف: application/pdf

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    Academic Journal
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    Academic Journal
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    Academic Journal

    المصدر: Revista de la Facultad de Ciencias; Vol. 10 No. 1 (2021): Revista de la Facultad de Ciencias; 6-19 ; Revista de la Facultad de Ciencias; Vol. 10 Núm. 1 (2021): Revista de la Facultad de Ciencias; 6-19 ; 2357-5549 ; 0121-747X

    وصف الملف: application/pdf

    Relation: https://revistas.unal.edu.co/index.php/rfc/article/view/84237/77823; Abramowitz, M. & Stegun, I. A. (1972). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover Publications, Inc.; Andersen, P. K., Borgan, O., Gill, R. D. & Keiding, N. (1993). Statistical models based on counting processes. Springer - Verlag. New York.; Bhat, U. N. (1984). Elements of applied stochastic processes. 2nd ed. New York: John Wiley and sons.; Cox, D. R. (1972). Regression models and life tables (with discussion). Journal of the Royal Statistical Society 32(Series B), 187-220.; Faddy, M. J. (1976). A note on the general time-dependent stochastic compartmental model. Biometrics 32, 443-448.; Frydman, H. (1992). A Nonparametric estimation procedure for a periodically observed three state Markov process, with application to AIDS. Journal of Royal Statistical Society 4(Series B), 853-866.; Hajihosseini, M., Kazemi, T. & Faradmal, J. (2016). Multistate models for survival analysis of cardiovascular disease process. Revista Española de Cardiología 69(7), 714-715.; Harezlak, J., Gao, S. & Hui, S. L. (2003). An illness-death stochastic model in the analysis of longitudinal dementia data. Statistics in Medicine 22, 1465-1475.; Hedeker, H., Siddiqui, O. & Hu, F. B. (2000). Random-effects regression analysis of correlated group-time survival data. Statistical Methods in Medical Research 9, 161-179.; Joly, P. and Commenges, D. (1999). A penalized likelihood approach for a progressive three-state model with censored and truncated data: Application to AIDS. Biometrics 55, 887-890.; Joly, P., Commenges, D. & Letenneur, L. (1998). A penalized likelihood approach for arbitrarily censored and truncated data: Application to age-specic incidence of dementia. Biometrics 55(1), 185-194.; Kay, R. (1986). A Markov model for analyzing cancer markers and disease states in survival studies. Biometrics 42, 855-865.; Kryscio, R. J., Schmit, F. A., Salazar, J., Mendiondo, M. S. & Markesbery, W. R. (2016). Risk factors for transitions from normal to mild cognitive impairment and dementia. Neurology 66, 828-832.; Van der Vaart, A.W. (2000). Asymptotic statistics. Cambridge Series in Statistical and Probabilistic Mathematics. Cambridge University Press, Cambridge.; Lee, E. T. (1992). Statistical methods for survival data analysis. 2nd Ed. John Wiley & Sons. New York.; Salazar, J. C., Palomino, R., Calvo, E., Rojas, A., Hincapié, M. E., Anaya, J. M. & Díaz, F. (2007). Three state Markov model: Comparing three parameterizations of the transition intensity rate. Application to rheumatoid arthritis data. Revista Colombiana de Estadística, 30(2), 213-229.; Salazar, J. C., Schmitt, F. A., Yu, L., Mendiondo, M. S. & Kryscio, R. J. (2005). Shared random effects analysis of multi-state Markov models: application to a longitudinal study of transitions to dementia. Statistics in Medicine 26(3), 568-580.; Salgado, K., Salazar-Uribe, J. C., Gallo-Villegas, J., Valencia, A., Española-Fernández, D., Mesa, C., de la Calle, J., Montoya, Y.& Aristizábal, D. (2018). Evaluación de la costo-efectividad de un modelo integral de tratamiento ambulatorio en pacientes con síndrome coronario agudo: aplicación de un modelo de Markov probabilístico. Pan American Journal of Public Health 42, 1-9.; SAS Institute Inc. Base SAS R 9.2 (2011). Procedures Guide. Cary, NC: SAS Institute Inc.; Tovar, R. & Salazar, J. C. (2009). A linear mixed model adapted to a markov chain with ordinal state space. Application to data about grade point average (GPA). Revista Colombiana de Estadística 32(2), 213-230.; Wei, S., Xu, L. & Kryscio, R. (2014). Markov transition model to dementia with death as a competing event. Computational Statistics and Data Analysis 80, 78-88.; Yeh H., Chan, W., Symanski, E. & Davis, B. (2010). Estimating transition probabilities for ignorable intermittent missing data in a discrete-time markov chain Communications in Statistics: Simulation and Computation 39(2), 433-448.; https://revistas.unal.edu.co/index.php/rfc/article/view/84237

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    Academic Journal
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    Dissertation/ Thesis

    المؤلفون: Fatti, Gianluca

    المساهمون: Antón López, Alfonso, Universitat Internacional de Catalunya. Departament de Medicina

    المصدر: TDX (Tesis Doctorals en Xarxa)

    Time: 61

    وصف الملف: 226 p.; application/pdf

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    Academic Journal

    المؤلفون: Gil Puerta, Andrés Santiago

    المساهمون: Gómez Vélez, César Augusto, Universidad Nacional de Colombia - Sede Medellín

    وصف الملف: application/pdf

    Relation: Abate and Whitt, 1999] Abate, J. and Whitt, W. (1999). Computing laplace transforms for numerical inversion via continued fractions. INFORMS Journal on Computing, 11(4):394- 405.; [Asmussen, 2003] Asmussen, S. (2003). Applied Probability and Queues. Applications of mathematics : stochastic modelling and applied probability. Springer.; [Asmussen, 2008] Asmussen, S. (2008). Applied probability and queues, volume 51. Springer Science & Business Media.; [Bosq and Limnios, 2012] Bosq, D. and Limnios, N. (2012). Mathematical statistics and stochastic processes. Wiley Online Library.; [Bouchaud et al., 2008] Bouchaud, J.-P., Farmer, J. D., and Lillo, F. (2008). How markets slowly digest changes in supply and demand. Fabrizio, How Markets Slowly Digest Changes in Supply and Demand (September 11, 2008).; [Bouchaud et al., 2002] Bouchaud, J.-P., M ezard, M., Potters, M., et al. (2002). Statistical properties of stock order books: empirical results and models. Quantitative nance, 2(4):251-256.; [Bovier et al., 2006] Bovier, A., Cern y, J., and Hryniv, O. (2006). The opinion game: Stock price evolution from microscopic market modeling. International Journal of Theoretical and Applied Finance, 9(01):91-111.; [Clinet, 2015] Clinet, S. (2015). Statistical inference for ergodic point processes and applications to limit order book.; [Connor and Woo, 2004] Connor, G. and Woo, M. (2004). An introduction to hedge funds.; [Cont et al., 2010] Cont, R., Stoikov, S., and Talreja, R. (2010). A stochastic model for order book dynamics. Operations research, 58(3):549-563.; [Dobrow, 2016] Dobrow, R. P. (2016). Introduction to stochastic processes with R. John Wiley & Sons.; [Doyne Farmer 5 et al., 2004] Doyne Farmer 5, J., Gillemot, L., Lillo, F., Mike, S., and Sen, A. (2004). What really causes large price changes? Quantitative nance, 4(4):383-397.; [Eisler et al., 2012] Eisler, Z., Bouchaud, J.-P., and Kockelkoren, J. (2012). The price impact of order book events: market orders, limit orders and cancellations. Quantitative Finance, 12(9):1395-1419.; [Engle et al., 2006] Engle, R. F., Ferstenberg, R., and Russell, J. R. (2006). Measuring and modeling execution cost and risk.; [Foucault et al., 2005] Foucault, T., Kadan, O., and Kandel, E. (2005). Limit order book as a market for liquidity. Review of Financial Studies, 18(4):1171-1217.; [Giraldo, 2016] Giraldo, N. (2016). Econometría fi nanciera aplicada a series de tiempo. Universidad Nacional de Colombia.; [Gould et al., 2013] Gould, M. D., Porter, M. A., Williams, S., McDonald, M., Fenn, D. J., and Howison, S. D. (2013). Limit order books. Quantitative Finance, 13(11):1709-1742.; [Gu et al., 2016] Gu, G.-F., Xiong, X., Zhang, Y.-J., Chen, W., Zhang, W., and Zhou, W.- X. (2016). Stylized facts of price gaps in limit order books. Chaos, Solitons & Fractals, 88:48-58.; [Harris and Hasbrouck, 1996] Harris, L. and Hasbrouck, J. (1996). Market vs. limit orders: the superdot evidence on order submission strategy. Journal of Financial and Quantitative analysis, 31(02):213-231.; [Hendriks, 2014] Hendriks, S. (2014). Building a model for the limit order book.; [Holli eld et al., 2004] Holli eld, B., Miller, R. A., and Sand as, P. (2004). Empirical analysis of limit order markets. The Review of Economic Studies, 71(4):1027-1063.; [Huang, 2015] Huang, W. (2015). Dynamics of limit order book: statistical analysis, modelling and prediction. PhD thesis.; [Kirilenko et al., 2015] Kirilenko, A. A., Kyle, A. S., Samadi, M., and Tuzun, T. (2015). The flash crash: The impact of high frequency trading on an electronic market. Available at SSRN 1686004.; [Ladeira, 2010] Ladeira, J. (2010). Stochastic modeling of order book dynamics.; [Luckock et al., 2003] Luckock, H. et al. (2003). A steady-state model of the continuous double auction. Quantitative Finance, 3(5):385-404.; [Lux and Marchesi, 1999] Lux, T. and Marchesi, M. (1999). Scaling and criticality in a stochastic multi-agent model of a nancial market. Nature, 397(6719):498-500.; [Martínez, 2008] Martínez, F. V. (2008). Riesgos financieros y económicos/Financial and economical risks: Productos derivados y decisiones económicas bajo incertidumbre. Cengage Learning Editores.; [Maslov and Mills, 2001] Maslov, S. and Mills, M. (2001). Price fluctuations from the order book perspective%7Cempirical facts and a simple model. Physica A: Statistical Mechanics and its Applications, 299(1):234-246.; [Meudt et al., 2016] Meudt, F., Schmitt, T. A., Sch afer, R., and Guhr, T. (2016). Equilibrium pricing in an order book environment: Case study for a spin model. Physica A: Statistical Mechanics and its Applications, 453:228-235.; [Obizhaeva and Wang, 2013] Obizhaeva, A. A. and Wang, J. (2013). Optimal trading strategy and supply/demand dynamics. Journal of Financial Markets, 16(1):1-32.; [Ortega and Rivero, 2015] Ortega, J. and Rivero, V. (2015). Modelos Estocásticos. Cimat A.C.; [Parlour, 1998] Parlour, C. A. (1998). Price dynamics in limit order markets. Review of Financial Studies, 11(4):789-816.; [Rosu, 2009] Rosu, I. (2009). A dynamic model of the limit order book. Review of Financial Studies, 22(11):4601-4641.; [Smith et al., 2003] Smith, E., Farmer, J. D., Gillemot, L. s., Krishnamurthy, S., et al. (2003). Statistical theory of the continuous double auction. Quantitative nance, 3(6):481-514.; [Wrenn, 2012] Wrenn, F. (2012). General birth-death processes: probabilities, inference, and applications.; https://repositorio.unal.edu.co/handle/unal/78226

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    Academic Journal

    المصدر: Mavengere, Heidi; Mattox, Kathleen; Teixeira, Marcus M.; Sepúlveda, Victoria E.; Gómez, Óscar M.; Hernández, Orville; McEwen, Juan Guillermo & Matute; Daniel R. (2020). Paracoccidioides genomes reflect high levels of species divergence and little interspecific gene flow. MBio, 11(6), 1999-2020

    وصف الملف: application/pdf

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    Dissertation/ Thesis
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    Academic Journal
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    Dissertation/ Thesis

    المؤلفون: Ortiz Reyes, Cristina Nathaly

    المساهمون: Rosero Jiménez, Diana Andrea

    Relation: Ortiz Reyes, Cristina Nathaly (2023). Modelo de gestión de riesgo de crédito para la toma de decisiones en instituciones financieras. Ecuador: Ambato; https://repositorio.pucesa.edu.ec/handle/123456789/4257

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    Academic Journal
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    Academic Journal
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    Conference

    المساهمون: Secretaría de Ciencia y Tecnología. Facultad de Ciencias Económicas y Estadística. Universidad Nacional de Rosario

    وصف الملف: application/pdf

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    Academic Journal