1325 search results for "Latex"

a typo that went under the radar

January 24, 2017
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A chance occurrence on X validated: a question on an incomprehensible formula for Bayesian model choice: which, most unfortunately!, appeared in Bayesian Essentials with R! Eeech! It looks like one line in our LATEX file got erased and the likelihood part in the denominator altogether vanished. Apologies to all readers confused by this nonsensical formula!Filed

Euler Problem 9 : Special Pythagorean Triple

January 24, 2017
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Solution to Euler Problem 9 in the R Language: Find the Pythagorean triple for which a+b+c equals 1000. Continue reading → The post Euler Problem 9 : Special Pythagorean Triple appeared first on The Devil is in the Data.

Principal Component Analysis in R

January 23, 2017
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$Principal Component Analysis in R$

Principal component analysis (PCA) is routinely employed on a wide range of problems. From the detection of outliers to predictive modeling, PCA has the ability of projecting the observations described by variables into few orthogonal components defined at where the data ‘stretch’ the most, rendering a simplified overview. PCA is particularly powerful in dealing with multicollinearity and variables that … Continue...

Updated Example Repo for RMarkdown and Metropolis/Mtheme

January 21, 2017
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During useR! 2016, Nick Tierney had asked on Twitter about rmarkdown and metropolis and whether folks had used RMarkdown-driven LaTeX Beamer presentations. My firm hell yeah answer, based on having used mtheme outright or in local mods for quite some...

an express riddle

January 19, 2017
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$an express riddle$

A quick puzzle on The Riddler this week that enjoys a quick solution once one writes it out. The core of the puzzle is about finding the average number of draws one need to empty a population of size T if each draw is uniform over the remaining number of individuals between one and the

Euler Problem 8: Largest Product in a Series

January 18, 2017
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$Euler Problem 8: Largest Product in a Series$

Solution to Euler Problem 8 in the R Language for Statistical Computing. Find the thirteen adjacent digits in the 1,000-digit number that have the greatest product. What is the value of this product? Continue reading → The post Euler Problem 8: Largest Product in a Series appeared first on The Devil is in the...

Two meanings of priors, part I: The plausibility of models

January 16, 2017
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by Angelika Stefan & Felix Schönbrodt When reading about Bayesian statistics, you regularly come across terms like “objective priors“, “prior odds”, “prior distribution”, and “normal prior”. However, it may not be intuitively clear that the meaning of “prior” differs in these terms. In fact, there are two meanings of “prior” in the context of Bayesian The post

RStudio Conference 2017 Recap

January 14, 2017
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The first ever RStudio conference was held January 11-14, 2017 in Orlando, FL. For anyone else like me who spends hours each working day staring into an RStudio session, the conference was truly excellent. The speaker lineup was diverse and covered lot...

Structural Equation Modelling in R (Part 2)

January 14, 2017
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Brief explanation This is the second part in a series on three articles about Structural Equation Modelling (SEM). This time I am glad to announce Jodie Burchell as a co-writer! In Structural Equation Modelling in R (Part 1) I explained the basics of CFA. SEM was explained as a general case of CFA that was going be explained later,...

Building Particle Filters and Particle MCMC in NIMBLE

January 9, 2017
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$Building Particle Filters and Particle MCMC in NIMBLE$

An Example of Using nimble‘s Particle Filtering Algorithms This example shows how to construct and conduct inference on a state space model using particle filtering algorithms. nimble currently has versions of the bootstrap filter, the auxiliary particle filter, the ensemble Kalman filter, and the Liu and West filter implemented. Additionally, particle MCMC samplers are available