"Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan"

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Book	Author(s)	Year	Publisher
Bayesian Models for Astrophysical Data: Using R, JAGS, Python, and Stan	Joseph M. Hilbe; Rafael S. de Souza; Emille E. O. Ishida	2017-04	Cambridge University Press
Bayesian Data Analysis in Ecology Using Linear Models with R, BUGS, and Stan	Franzi Korner-Nievergelt; Stefanie von Felten; Tobias Roth; Bettina Almasi; Jérôme Guélat and Pius Korner-Nievergelt	2015	Academic Press
Data Science Using Python and R oBook	Chantal D. Larose	2019	John Wiley & Sons
Epidemics: Models and Data using R	Ottar N. Bjørnstad	1st ed. 2018	Springer International Publishing
Bayesian Models for Categorical Data	Peter Congdon	2005	John Wiley & Sons
Bayesian Hierarchical Models: With Applications Using R, Second Edition	Peter D. Congdon	2019	Routledge
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python	Peter Bruce, Andrew Bruce, Peter Gedeck	2020	O'Reilly Media
Data Engineering with Python: Work with Massive Datasets to Design Data Models and Automate Data Pipelines Using Python.	Crickard, Paul.	2020.	Packt Publishing, Limited,
Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python	Paul Crickard	2020	Packt Publishing
Python vs. R for Data Science	Michael Grogan	2018	O’Reilly Media, Inc.
Analyzing Financial Data and Implementing Financial Models Using R	Clifford S. Ang	2nd ed. 2021	Springer International Publishing
Analyzing Financial Data and Implementing Financial Models Using R	Clifford S. Ang (auth.)	2015	Springer International Publishing
Analyzing Financial Data and Implementing Financial Models Using R	Clifford S. Ang	2015	Springer International Publishing
Learning Bayesian models with R: become an expert in Bayesian machine learning methods using R and apply them to solve real-world big data problems	Hari M. Koduvely	2015	Packt Publishing
Reasoning with Data: An Introduction to Traditional and Bayesian Statistics Using R	Jeffrey M. Stanton	2017	The Guilford Press
Reasoning with data: an introduction to traditional and Bayesian statistics using R	Stanton, Jeffrey M.	2017	The Guilford Press
Data structures and algorithms using Python	Necaise, Rance D	2010;2011	John Wiley & Sons
Data structures and algorithms using Python	Rance D. Necaise	2011	Wiley
Practical Data Science Cookbook: Data Pre-Processing, Analysis and Visualization Using R and Python	Prabhanjan Narayanachar Tattar; Tony Ojeda; Sean Patrick Murphy; Benjamin Bengfort; Abhijit Dasgupta	2017	Packt Publishing
Bayesian Applications in Environmental and Ecological Studies with R and Stan	Song S. Qian; Mark R. DuFour; Ibrahim Alameddine	2022	Routledge
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

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Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Bayesian Analysis Options in R, and Coding for BUGS, JAGS, and Stan	Peter D. Congdon	Bayesian Hierarchical Models: With Applications Using R, Second Edition	Peter D. Congdon	2019	Routledge
Bayesian Statistical Modeling Using JAGS	Michael Schaub; Marc Kéry	Integrated Population Models	Marc Kéry andMichael Schaub	2021	Academic Press
Fitting Models Using the Bayesian Modeling Software BUGS and JAGS	Marc Kéry; J. Andrew Royle	Applied Hierarchical Modeling in Ecology	Marc Kery and J. Andrew Royle	2015	Academic Press
Using JAGS and runjags		R: predictive analysis: master the art of predictive modeling /	Fischetti, Tony,; Mayor, Eric,; Forte, Rui Miguel,		Packt Publishing Ltd
Using JAGS and runjags		R: Data Analysis and Visualization	Edvin Moses	2016	Packt Publishing
Bayesian Models for Ranking Data	Mayer Alvo; Philip L. H. Yu	A Parametric Approach to Nonparametric Statistics	Mayer Alvo; Philip L. H. Yu	1st ed. 2018	Springer International Publishing
Using Python for Data Science		Data Science For Dummies	Lillian Pierson	2021	For Dummies
94 Data and Bayesian models		The Oxford Handbook of Applied Bayesian Analysis (Oxford Handbooks)	Anthony O'Hagan, Mike West	2010	Oxford University Press, USA
Using R and Python Visuals		Microsoft Power BI Cookbook: Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases, 2nd Edition	Greg Deckler, Brett Powell	2021	Packt Publishing - ebooks Account
Python vs R for Data Science		Python vs. R for Data Science	Michael Grogan	2018	O’Reilly Media, Inc.
JAGS	John K. Kruschke	Doing Bayesian Data Analysis (Second Edition)	John Kruschke	2015	Academic Press
JAGS		Random Process Analysis With R	Marco Bittelli; Roberto Olmi; Rodolfo Rosa	2022	Oxford University Press
Provenance for Astrophysical Data	Anastasia Galkin; Kristin Riebe; Ole Streicher; Francois Bonnarel; Mireille Louys; Michèle Sanguillon et al.	Provenance and Annotation of Data and Processes: 7th International Provenance and Annotation Workshop, IPAW 2018, London, UK, July 9-10, 2018, Proceedings	Khalid Belhajjame; Ashish Gehani; Pinar Alper	1st ed. 2018	Springer International Publishing
Sarcasm Detection on Twitter Data Using R and Python	V. Haripriya; Poornima G. Patil; T. V. Anil Kumar	Advances in Medical Physics and Healthcare Engineering: Proceedings of AMPHE 2020	Moumita Mukherjee; J.K. Mandal; Siddhartha Bhattacharyya; Christian Huck; Satarupa Biswas	1st ed. 2021	Springer Nature Singapore
Transforming Data with R and Python	Markus Ehrenmueller-Jensen	Self-Service AI with Power BI Desktop: Machine Learning Insights for Business	Markus Ehrenmueller-Jensen	1st ed.	Apress
Visualizing Data in R and Python	Guy Lebanon; Mohamed El-Geish	Computing with Data: An Introduction to the Data Industry	Guy Lebanon; Mohamed El-Geish	1st ed. 2018	Springer International Publishing
Processing Data in R and Python	Guy Lebanon; Mohamed El-Geish	Computing with Data: An Introduction to the Data Industry	Guy Lebanon; Mohamed El-Geish	1st ed. 2018	Springer International Publishing
Applied Bayesian Data Analysis Using State-Space Models	Renate Meyer	Data Analysis: Scientific Modeling and Practical Application	Wolfgang Gaul; Otto Opitz; Martin Schader	2000	Springer Berlin Heidelberg
Numerical Models for Astrophysical Plasmas	Giulia Cozzani	Microphysics of Magnetic Reconnection in Near-Earth Space: Spacecraft Observations and Numerical Simulations	Giulia Cozzani	1st ed. 2020	Springer International Publishing
Calculated Columns Using R and Python	Ryan Wade	Advanced Analytics in Power BI with R and Python: Ingesting, Transforming, Visualizing	Ryan Wade	1st ed.	Apress
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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