Resources

Some useful materials gathered from conversations, internships and websurfing.

R packages

• Cara’s guide to ggplot2 and the ggplot2 documentation.
• Paul Moraga’s textbook for R-INLA [C]
• Progress bars for long simulations via pbapply [V]

PhD Resources

• Lit review softwares - Zotero, Mendley, OneNote [C]
• Overleaf templates for note taking [V], posters and thesis.
• Reddit sometimes has great advice and resources like advice on imposter syndrome, starter kits and phd gifts for when you/friends are done.

Cool Websites

• Cara’s entire website
• A list of shiny apps
• Beautiful interactive visualisations

Textbooks

Markov chains & MCMC

• A brief history of MCMC
• Diaconis’s paper [M]
• MIT OCW
• Dootika’s gentle introduction to MCMC
• Sheldon Ross’s books [M]
• Pierre Bremaud’s textbook. [M]

Spatial Statistics

• Cressie’s book on Statistics for Spatial Data[C]
• Paul Moraga’s book found online here

Credits-

^{[C]- Dr Craig Anderson, [V]- Dr Vanessa McNealis ,[M]- Dr Manjunath Krishnapur}