books, books, everywhere and so little time: #rstats R book lists
So many great books and so many lists about books in R.continue reading.
Category: Rstat
books, books, everywhere and so little time: #rstats R book lists
So many great books and so many lists about books in R.continue reading.
Bayes Taster and BUGS, JAGS, Stan, PyMC3 webinars
The Bayes Taster webinar is back next week, 18 February. It’s a one hour introduction to Bayesian analysis that focuses … Morecontinue reading.
Direct Optimization of Hyper-Parameter
In the previous post (https://statcompute.wordpress.com/2019/02/03/sobol-sequence-vs-uniform-random-in-hyper-parameter-optimization), it is shown how to identify the optimal hyper-parameter in a General Regression Neural Network by using the Sobol sequence and the uniform random generator...continue reading.
An absolute beginner’s guide to creating data frames for a Stack Overflow [r] question
For better or worse I spend some time each day at Stack Overflow [r], reading and answering questions. If you do the same, you probably notice certain features in questions...continue reading.
Budget constrained simulations
Hi all, This post is about some results from “Bias Properties of Budget Constrained Simulations“, by Glynn & Heidelberger and published in Operations Research in 1990. I have found these...continue reading.
Sobol Sequence vs. Uniform Random in Hyper-Parameter Optimization
Tuning hyper-parameters might be the most tedious yet crucial in various machine learning algorithms, such as neural networks, svm, or boosting. The configuration of hyper-parameters not only impacts the computational...continue reading.
Tutorial: Sequential Pattern Mining in R for Business Recommendations
by Allison Koenecke, Data Scientist, AI & Research Group at Microsoft, with acknowledgements to Amita Gajewar and John-Mark Agosta. In this tutorial, Allison Koenecke demonstrates how Microsoft could recommend to...continue reading.
Mandalaxies
One cannot escape the feeling that these mathematical formulas have an independent existence and an intelligence of their own, that they are wiser than we are, wiser even than their...continue reading.
Computational Bayesian Statistics [book review]
This Cambridge University Press book by M. Antónia Amaral Turkman, Carlos Daniel Paulino, and Peter Müller is an enlarged translation of a set of lecture notes in Portuguese. (Warning: I...continue reading.
missing digit in a 114 digit number [a Riddler’s riddle]
A puzzling riddle from The Riddler (as Le Monde had a painful geometry riddle this week): this number with 114 digits 530,131,801,762,787,739,802,889,792,754,109,70?,139,358,547,710,066,257,652,050,346,294,484,433,323,974,747,960,297,803,292,989,236,183,040,000,000,000 is missing one digit and is a product...continue reading.
Price’s Protein Puzzle: 2019 update
Chains of amino acids strung together make up proteins and since each amino acid has a 1-letter abbreviation, we can find words (English and otherwise) in protein sequences. I imagine...continue reading.
How to use the NumPy median function
This tutorial will show you how to use the NumPy median function, which we often call np.median. This tutorial will teach you a few things. First, it will show you...continue reading.
Top reasons to send your team to EARL
It’s easy to get stuck in the day-to-day at the office and there’s never time to upskill or even think about career development. However, to really grow and develop your...continue reading.
Problems in Estimating GARCH Parameters in R (Part 2; rugarch)
Introduction Now here is a blog post that has been sitting on the shelf far longer than it should have. Over a year ago I wrote an article about problems...continue reading.
more concentration, everywhere
Although it may sound like an excessive notion of optimality, one can hope at obtaining an estimator δ of a unidimensional parameter θ that is always closer to θ that...continue reading.
Are you parallelizing your raster operations? You should!
If you plan to do anything with the raster package you should definitely consider parallelize all your processes, especially if you are working with very large image files. I couldn’t find...continue reading.
How to make a matplotlib histogram
This tutorial will explain how to make a matplotlib histogram. If you’re interested in data science and data visualization in Python, then read on. This post will explain how to...continue reading.
ggeffects 0.8.0 now on CRAN: marginal effects for regression models #rstats
I’m happy to announce that version 0.8.0 of my ggeffects-package is on CRAN now. The update has fixed some bugs from the previous version and comes along with many new...continue reading.
Linguistic Signals of Album Quality: A Predictive Analysis of Pitchfork Review Scores Using Quanteda
In this post we will return to the Pitchfork music review data, parts of which I’ve analyzed in previous posts. Our goal here will be to use text mining and...continue reading.
