{"title":"Le Bao","description":"\u003cp\u003eLe Bao offers a deep exploration into quantitative methods and statistical theory, particularly within the realm of social science. Their works combine rigorous mathematical analysis with practical applications, providing valuable insights for researchers and students alike.\u003c\/p\u003e\n\n\u003cp\u003eReaders can expect thorough treatments of Bayesian statistics and related scientific methodologies, presented with clarity and precision. These titles are essential for those interested in the intersection of advanced statistics and real-world social science challenges.\u003c\/p\u003e","products":[{"product_id":"bayesian-social-science-statistics-volume-2-by-jeff-gill-9781009598446","title":"Bayesian Social Science Statistics: Volume 2","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eThis Element introduces the basics of Bayesian regression modeling using modern computational tools. \u003cem\u003eBayesian Social Science Statistics: Volume 2\u003c\/em\u003e assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level of Gill and Bao (2024).\u003c\/p\u003e\n\n\u003cp\u003eSome matrix algebra knowledge is assumed, but the authors walk carefully through the necessary structures at the start of this Element. At the end of the process, readers will fully understand how Bayesian regression models are developed and estimated, including linear and nonlinear versions.\u003c\/p\u003e\n\n\u003cp\u003eThe sections cover theoretical principles and real-world applications in order to provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in R and Python is provided throughout.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47933891182828,"sku":"9781009598446","price":213.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781009598446-bayesian-social-science-statistics-volume-2.jpg?v=1783881734"},{"product_id":"bayesian-social-science-statistics-volume-2-by-jeff-gill-9781009340977","title":"Bayesian Social Science Statistics: Volume 2","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eThis Element introduces the basics of Bayesian regression modeling using modern computational tools. \u003cem\u003eBayesian Social Science Statistics: Volume 2\u003c\/em\u003e only assumes that the reader has taken a basic statistics course and has seen Bayesian inference at the introductory level of Gill and Bao (2024).\u003c\/p\u003e\n\n\u003cp\u003eSome matrix algebra knowledge is assumed, but the authors walk carefully through the necessary structures at the start of this Element. At the end of the process, readers will fully understand how Bayesian regression models are developed and estimated, including linear and nonlinear versions.\u003c\/p\u003e\n\n\u003cp\u003eThe sections cover theoretical principles and real-world applications in order to provide motivation and intuition. Because Bayesian methods are intricately tied to software, code in R and Python is provided throughout.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47933891215596,"sku":"9781009340977","price":76.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781009340977-bayesian-social-science-statistics-volume-2.jpg?v=1783881752"}],"url":"https:\/\/bookhero.live\/collections\/le-bao.oembed","provider":"Book Hero","version":"1.0","type":"link"}