referencias_tesis_ACT.bib

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author = {Betancourt, Michael},
title = {How the Shape of a Weakly Informative Prior Affects Inferences},
year = {2017},
url = {https://betanalpha.github.io/assets/case_studies/weakly_informative_shapes.html},
}

@Online{BetancourtRStanWorkflow,
author = {Betancourt, Michael},
title = {Robust Statistical Workflow with RStan},
year = {2017},
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}

@Online{BlogAntithetical,
author = {Carpenter, Bob},
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}

@Online{BlogSimpson,
author = {Simpson, Dan},
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@Online{NUTS11,
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title = {The No-U-Turn Sampler},
subtitle = {Adaptively Setting Path Lengths
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year = {2011},
url = {https://arxiv.org/pdf/1111.4246},
note = {ArXiv e-print},
}

@Online{Vehtari16,
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note = {ArXiv e-print},
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@Online{Betancourt16,
author = {Betancourt, Michael},
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year = {2016},
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note = {ArXiv e-print},
}

@Online{Rogozhnikov16,
author = {Rogozhnikov, Alex},
title = {Hamiltonian Monte Carlo explained},
year = {2016},
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}

@Online{Betancourt17,
author = {Betancourt, Michael},
title = {A Conceptual Introduction to Hamiltonian Monte Carlo},
year = {2017},
url = {https://arxiv.org/abs/1701.02434},
note = {ArXiv e-print},
}

@Online{McElreath17,
author = {McElreath, Richard},
title = {Markov Chains: Why Walk When You Can Flow?},
year = {2017},
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}

@Online{Betancourt18,
author = {Betancourt, Michael},
title = {The Convergence of Markov chain Monte Carlo Methods},
subtitle = {From the Metropolis method to Hamiltonian Monte Carlo},
year = {2018},
url = {https://arxiv.org/abs/1706.01520v2},
note = {ArXiv e-print},
}

@Online{Lambert18,
author = {Lambert, Ben},
title = {The intuition behind the Hamiltonian Monte Carlo algorithm},
organization = {Youtube},
year = {2018},
url = {https://www.youtube.com/watch?v=a-wydhEuAm0},
}

@Online{TuitSimpson18,
author = {Simpson, Dan},
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@Article{GemanGeman84,
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note = {Special issue dedicated to Stan Ulam},
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author = {Eckhardt, Roger},
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note = {Special issue dedicated to Stan Ulam},
}

@Article{GelfandSmith90,
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}

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author = {Smith, A.F.M. and Gelfand, A.E.},
title = {Bayesian Statistics without Tears},
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}

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issue = {4},
pages = {457-472},
}

@Article{SmithRoberts93,
author = {Smith, A.F.M. and Roberts, G.O.},
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}

@Article{ChibGreenberg95,
author = {Chib, Siddhartha and Greenberg, Edward},
title = {Understanding the Metropolis-Hastings Algorithm},
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}


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author = {Gubernatis, J.E.},
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journal = {Physics of Plasmas},
year = {2005},
volume = {12},
issue = {57303},
}

@Article{RobertCasella11,
author = {Robert, Christian and Casella, George},
title = {A Short History of Markov Chain Monte Carlo},
subtitle = {Subjective Recollections from Incomplete Data},
journal = {Statistical Science},
year = {2011},
volume = {26},
issue = {1},
pages = {102-115},
}

@Article{Seneta13,
author = {Seneta, Eugene},
title = {A Tricentenary history of the Law of Large Numbers},
journal = {Bernoulli},
year = {2013},
volume = {19},
issue = {4},
pages = {1088-1121},
url = {https://arxiv.org/pdf/1309.6488.pdf},
}

@Article {YangRdz13,
author = {Yang, Ziheng and Rodríguez, Carlos E.},
title = {Searching for efficient Markov chain Monte Carlo proposal kernels},
journal = {Proceedings of the National Academy of Sciences},
year = {2013},
publisher = {National Academy of Sciences},
url = {https://www.pnas.org/content/early/2013/11/06/1311790110},
}

@Article{Haigh14,
author = {Haigh, Thomas and Priestley, Mark and Rope, Crispin},
title = {Los Alamos Bets on ENIAC}, 
subtitle = {Nuclear Monte Carlo Simulations, 1947–1948},
journal = {IEEE Annals of the History of Computing},
year = {2014},
volume = {36},
issue = {3},
pages = {42-63},
}

@Article{Robert15,
author = {Robert, Christian P.},
title = {The Metropolis-Hastings algorithm},
journal = {ArXiv e-prints},
eprint = {1504.01896},
year = {2015},
month = {4},
url = {https://arxiv.org/abs/1504.01896},
}

@Article{Zepeda15,
author = {Zepeda Herrera, Fernando Antonio},
title = {Sobre la conexión estadística de Gauss y Galton},
journal = {Laberintos e Infinitos},
publisher = {ITAM},
year = {2015},
volume = {2},
issue = {37},
pages = {26-30},
}

@Article{PriorLikelihood17,
author = {Gelman, Andrew and Simpson, Daniel and Betancourt, Michael},
title = {The Prior Can Often Only Be Understood in the Context of the Likelihood},
journal = {Entropy},
publisher = {ITAM},
year = {2017},
volume = {19},
issue = {10},
pages = {26-30},
}

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}

@Book{Bernardo81,
author = {Bernardo, José Miguel},
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subtitle = {Una {P}erspectiva {B}ayesiana},
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}

@Book{TaylorKarlin84,
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}

@Book{Ross96,
author = {Ross, Sheldon M.},
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@Book{Dobson01,
author = {Dobson, Annette J.},
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@Book{Congdon06,
author = {Congdon, Peter},
title = {Bayesian Statistical Modelling},
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author = {Gelman, Andrew and {$ $}Hill, Jennifer},
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}

@Book{Robert07,
	author = {Robert, Christian P.},
	title = {The Bayesian Choice},
	subtitle = {From Decision-Theoretic Foundations to Computational Implementation},
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}

@Book{RobertCasella10,
	author = {Robert, Christian P. and George Casella},
	title = {Introducing Monte Carlo Methods with R},
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}

@Book{Ross10,
	author = {Ross, Sheldon M.},
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}

@Book{Lee12,
	author = {Lee, Peter M.},
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	subtitle = {an introduction},
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}

@Book{Ragheb13,
author = {Ragheb, Magdi},
title = {Monte Carlo Simulation},
subtitle = {Science and Engineering Aplications},
year = {2013},
note = {Lecture notes for Monte Carlo Simulation course tought at the University of Illinois at Urbana-Champaign},
url = {http://mragheb.com/NPRE%20498MC%20Monte%20Carlo%20Simulations%20in%20Engineering/},
}

@Book{Owen13,
author = {Owen, Art},
title = {Monte Carlo theory, methods and examples},
year = {2013},
pagetotal = {286},
note = {Sin publicar},
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}

@Book{Ross13,
	author = {Ross, Sheldon M.},
	title = {Simulation},
	year = {2013},
	pagetotal = {310},
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	edition = {5},
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}

@Book{Gelman13,
author = {Gelman, Andrew and Carlin, John B. and Stern, Hal S. and Dunson, David B. and Vehtari, Aki and Rubin, Donald B.},
title = {Bayesian Data Analysis},
year = {2013},
pagetotal = {667},
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location = {Estados Unidos},
note = {Chapman \& Hall/CRC texts in Statistical Science},
edition = {3},
isbn = {978-1-4398-4095-5},
}

@Inbook{BernardoSmith00,
author = {Bernardo, José Miguel and Smith, Adrian F.M.},
title = {Bayesian Theory},
publisher = {John Wiley \& Sons Ltd.},
location = {Reino Unido},
edition = {1},
isbn = {978-0471494645},
year = {2000},
chapter = {Modelling},
pages = {165-240},
}

@Inbook{Neal11,
author = {Neal, Radford M.},
title = {Handbook of Markov Chain Monte Carlo},
publisher = {Chapman \& Hall/CRC},
location = {Florida},
edition = {1},
isbn = {978-1420079418},
year = {2011},
chapter = {MCMC Using Hamiltonian Dynamics},
pages = {113-162},
}

@Inbook{McElreath15,
author = {McElreath, Richard},
title = {Statistical Rethinking},
subtitle = {A Bayesian Course with Examples in R and Stan},
publisher = {CRC Press},
edition = {1},
isbn = {978-1482253443},
year = {2015},
chapter = {Multilevel Models},
pages = {355-386},
}

@Thesis{Aquino10,
author = {Aquino Pérez, Elizabeth},
title = {Construcción de una tabla de mortalidad con un enfoque bayesiano},
type = {Tesina para obtener el grado de {L}icenciada en {A}ctuaría},
institution = {Instituto {T}ecnológico {A}utónomo de {M}éxico ({ITAM})},
location = {Ciudad de {M}éxico},
year = {2010},
pagetotal = {54},
}

@Thesis{Ortiz12,
author = {Ortiz Mancera, María Teresa},
title = {Análisis bayesiano de desempeño escolar de acuerdo con los resultados de la prueba {ENLACE}},
type = {Tesis para obtener el grado de {L}icenciada en {M}atemáticas {A}plicadas},
institution = {Instituto {T}ecnológico {A}utónomo de {M}éxico ({ITAM})},
location = {Ciudad de {M}éxico},
year = {2012},
pagetotal = {82},
}

@Thesis{Regueiro12,
author = {Regueiro Martínez, Pedro},
title = {Análisis jerárquico bayesiano del futbol mexicano},
type = {Tesis para obtener el grado de {L}icenciado en {M}atemáticas {A}plicadas},
institution = {Instituto {T}ecnológico {A}utónomo de {M}éxico ({ITAM})},
location = {Ciudad de {M}éxico},
year = {2012},
pagetotal = {112},
}

@Thesis{Usi14,
author = {Usi López, María Andrea},
title = {Análisis bayesiano de la influenza en México},
type = {Tesis para obtener el grado de {L}icenciada en {M}atemáticas {A}plicadas},
institution = {Instituto {T}ecnológico {A}utónomo de {M}éxico ({ITAM})},
location = {Ciudad de {M}éxico},
year = {2014},
pagetotal = {214},
}

@Conference{GelmanRobertsGilks96,
author = {Gelman, A. and Roberts, G.O. and Gilks W.R.},
title = {Efficient Metropolis Jumping Rules},
booktitle = {Bayesian Statistics 5},
year = {1996},
pages = {599-607}
}

@Misc{vonNeumann47,
author = {{von Neumann}, John and Richtmayer, Robert D.},
title = {Statistical methods in neutron diffusion},
year = {1947},
note = {Correspondencia escrita entre von Neumann y Richtmyer en 1947 a propósito del método estadístico propuesto por Stan Ulam.},
}

@Misc{Neal93,
author = {Neal, Radford M.},
title = {Probabilistic Inference Using Markov Chain Monte Carlo Methods},
year = {1993},
note = {Technical Report CRG-TR-93-1},
organization = {University of Toronto},
}

@Misc{GP97,
author = {Gutiérrez Peña, Eduardo},
title = {Métodos Computacionales en la Inferencia Bayesiana},
year = {1997},
note = {Serie monografías, IIMAS},
organization = {Universidad Nacional Autónoma de México (UNAM)},
location = {Ciudad de {M}éxico},
}

@Misc{GP98,
author = {Gutiérrez Peña, Eduardo},
title = {Análisis Bayesiano de Modelos Jerárquicos Lineales},
year = {1998},
note = {Serie monografías, IIMAS},
organization = {Universidad Nacional Autónoma de México (UNAM)},
location = {Ciudad de {M}éxico},
}

@Misc{Geyer05,
author = {Geyer, Charles J.},
title = {Markov Chain Monte Carlo Lecture Notes},
year = {2005},
note = {Course notes originally used Spring Quarter 1998},
organization = {University of Minnesota, Twin Cities},
}

@Misc{Pulskamp09,
author = {Pulskamp, Richard J.},
title = {Correspondence regarding the Art of Conjecturing},
year = {2009},
note = {Reporte de la correspondencia escrita entre Gottfried Leibniz y Jakob Bernoulli entre abril de 1703 y abril de 1705.},
url = {https://www.cs.xu.edu/math/Sources/JakobBernoulli/jakob%20and%20leibniz.pdf},
}

@Misc{Mendoza11,
author = {Mendoza, Manuel and Regueiro, Pedro},
title = {Estadística Bayesiana},
year = {2011},
note = {Departamento {A}cadémico de {E}stadística},
organization = {Instituto {T}ecnológico {A}utónomo de {M}éxico ({ITAM})},
location = {Ciudad de {M}éxico},
}

@Misc{Rincon12,
author = {Rincón, Luis},
title = {Introducción a los procesos estocásticos},
year = {2012},
note = {Notas para los cursos de procesos estocásticos en la Facultad de Ciencias de la UNAM.},
}

@Misc{Muller14,
author = {Müller, Peter},
title = {Notas del curso de Bioestadística Bayesiana},
year = {2014},
note = {II Escuela Latinoamericana de Estadística Bayesiana},
organization = {Universidad Autónoma de Quintana Roo},
location = {Chetumal},
}

@Misc{Nieto16,
author = {Nieto Barajas, Luis Enrique},
title = {Regresión Avanzada},
subtitle = {con enfoque Bayesiano},
year = {2016},
note = {Maestría en Ciencia de Datos},
organization = {Instituto {T}ecnológico {A}utónomo de {M}éxico ({ITAM})},
location = {Ciudad de {M}éxico},
}

@Misc{GP16,
author = {Gutiérrez Peña, Eduardo},
title = {Presentación {I}ntroductioria al curso {M}étodos {E}stadísticos {B}ayesianos},
year = {2016},
note = {Departamento {A}cadémico de {E}stadística},
organization = {Instituto {T}ecnológico {A}utónomo de {M}éxico ({ITAM})},
location = {Ciudad de {M}éxico},
}

@Misc{Nozer17,
author = {Singpurwalla, Nozer D.},
title = {Subjective Probability: Its Axioms and Acrobatics},
year = {2017},
month = {6},
day = {16},
note = {Conferencia magistral dentro del International Workshop on Perspectives on
High Dimensional Data VII (HDDA VII)},
organization = {Centro de Investigación en Matemáticas ({CIMAT})},
location = {Guanajuato},
url = {http://hddavii.eventos.cimat.mx/sites/hddavii/files/Nozer_Singpurwalla.pdf},
}

@Misc{Stan17,
author = {{Stan Development Team}},
title = {Stan Modeling Language: User's Guide and Reference Manual},
year = {2017},
note = {Version 2.17.0},
url = {https://mc-stan.org/},
}

@Misc{Zepeda18,
author = {Zepeda Herrera, Fernando Antonio},
title = {Modelo de agregación de encuestas},
year = {2018},
note = {Resumen metodológico del modelo de agregación de encuestas para la elección presidencial de México para el periodo 2018-2024},
organization = {Numérika},
location = {Ciudad de {M}éxico},
url = {https://www.numerika.mx/spanish/elecciones-2018/poll-of-polls/},
}