Winterschool2024.bib

@book{tukey_exploratory_1977,
	location = {Reading, Mass.},
	title = {Exploratory data analysis},
	isbn = {978-0-201-07616-5},
	url = {http://www.gbv.de/dms/bowker/toc/9780201076165.pdf},
	series = {Addison-Wesley series in behavioral sciences},
	abstract = {This book serves as an introductory text for exploratory data analysis. It exposes readers and users to a variety of techniques for looking more effectively at data. The emphasis is on general techniques, rather than specific problems},
	pagetotal = {688},
	publisher = {Addison-Wesley Pub. Co.},
	author = {Tukey, John W.},
	urldate = {2024-02-02},
	date = {1977},
	note = {{OCLC}: 3058187},
	keywords = {Data Interpretation, Statistical, Data-analyse, Datenauswertung, Mathematics, Mathématiques, Sociale wetenschappen, statistics, Statistics, Statistique, Statistiques},
}

@online{noauthor_amazoncom_nodate,
	title = {Amazon.com: Introduction to Regression and Modeling with R: 9781516554287: Petrie, Adam G: Libros},
	url = {https://www.amazon.com/-/es/Adam-G-Petrie/dp/1516554280/ref=sr_1_8?__mk_es_US=%C3%85M%C3%85%C5%BD%C3%95%C3%91&crid=21T3RBYDX7612&keywords=introduction+to+regression&qid=1660835038&sprefix=introduction+to+regression%2Caps%2C225&sr=8-8},
	urldate = {2024-02-02},
	file = {Amazon.com\: Introduction to Regression and Modeling with R\: 9781516554287\: Petrie, Adam G\: Libros:C\:\\Users\\asrataw\\Zotero\\storage\\46ZC55AS\\ref=sr_1_8.html:text/html},
}

@online{lipman_art_2022,
	title = {The Art of Wordle},
	url = {https://guylipman.medium.com/the-art-of-wordle-f861204a1f99},
	abstract = {There’s a new game that made it onto internet, Wordle. Somewhat similar to Mastermind, your aim is to guess a five letter word. After each…},
	titleaddon = {Medium},
	author = {Lipman, Guy},
	urldate = {2024-02-02},
	date = {2022-01-16},
	langid = {english},
}

@online{noauthor_session_nodate,
	title = {Session 4: Publishing / reproducibility},
	url = {https://www.mindmeister.com/app/map/3140297527?fullscreen=1&v=public},
	shorttitle = {Session 4},
	abstract = {Public mind map by Profesor Magallanes. Create your own collaborative mind maps for free at www.mindmeister.com},
	titleaddon = {{MindMeister}},
	urldate = {2024-02-02},
	langid = {english},
	file = {Snapshot:C\:\\Users\\asrataw\\Zotero\\storage\\T83ENPLG\\3140297527.html:text/html},
}

@article{clinton_statistical_2004,
	title = {The Statistical Analysis of Roll Call Data},
	volume = {98},
	issn = {0003-0554, 1537-5943},
	url = {https://www.cambridge.org/core/product/identifier/S0003055404001194/type/journal_article},
	doi = {10.1017/S0003055404001194},
	abstract = {We develop a Bayesian procedure for estimation and inference for spatial models of roll call voting. This approach is extremely flexible, applicable to any legislative setting, irrespective of size, the extremism of the legislators' voting histories, or the number of roll calls available for analysis. The model is easily extended to let other sources of information inform the analysis of roll call data, such as the number and nature of the underlying dimensions, the presence of party whipping, the determinants of legislator preferences, and the evolution of the legislative agenda; this is especially helpful since generally it is inappropriate to use estimates of extant methods (usually generated under assumptions of sincere voting) to test models embodying alternate assumptions (e.g., log-rolling, party discipline). A Bayesian approach also provides a coherent framework for estimation and inference with roll call data that eludes extant methods; moreover, via Bayesian simulation methods, it is straightforward to generate uncertainty assessments or hypothesis tests concerning any auxiliary quantity of interest or to formally compare models. In a series of examples we show how our method is easily extended to accommodate theoretically interesting models of legislative behavior. Our goal is to provide a statistical framework for combining the measurement of legislative preferences with tests of models of legislative behavior.},
	pages = {355--370},
	number = {2},
	journaltitle = {American Political Science Review},
	shortjournal = {Am Polit Sci Rev},
	author = {Clinton, Joshua and Jackman, Simon and Rivers, Douglas},
	urldate = {2024-02-02},
	date = {2004-05},
	langid = {english},
	file = {CJR_APSR2004_roll call congres.pdf:C\:\\Users\\asrataw\\Downloads\\CJR_APSR2004_roll call congres.pdf:application/pdf},
}

@article{camara_spatial_nodate,
	title = {Spatial Analysis and {GIS}: A Primer},
	author = {Câmara, Gilberto and Monteiro, Antônio Miguel and Fucks, Suzana Druck and Sá, Marília},
	langid = {english},
	file = {spatial_analysis_primer.pdf:C\:\\Users\\asrataw\\Downloads\\spatial_analysis_primer.pdf:application/pdf},
}