January 2014

What Do the Odds Say? Buy Stocks Begin of Year?

January 21, 2014 | klr

At some point in 2013, I read (can’t remember where) that 2012 was a rare year for the S&P 500  where no day’s closing  price was lower than the closing price  for the first day.  So if you bought on the first day of 2012, you never had a loss for ... [Read more...]

Causal Autoregressive Time Series

January 21, 2014 | arthur charpentier

In the MAT8181 graduate course on Time Series, we will discuss (almost) only causal models. For instance, with , with some white noise , those models are obtained when . In that case, we’ve seen that was actually the innovation process, and we can write which is actually a mean-square convergent series (... [Read more...]

A short taxonomy of Bayes factors

January 21, 2014 | FelixS

I am starting to familiarize myself with Bayesian statistics. In this post I’ll show some insights I had concerning Bayes factors (BF). What are Bayes factors? Bayes factors provide a numerical value that quantifies how well a hypothesis predicts the empirical data relative to a competing hypothesis. For example, ... [Read more...]

A brief foray into parallel processing with R

January 21, 2014 | beckmw

I’ve recently been dabbling with parallel processing in R and have found the foreach package to be a useful approach to increasing efficiency of loops. To date, I haven’t had much of a need for these tools but I’ve started working with large datasets that can be ... [Read more...]

Fun with the Raspberry Pi

January 21, 2014 | Markus Gesmann

Since Christmas I have been playing around with a Raspberry Pi. It is certainly not the fastest computer, but what a great little toy! Here are a few experiences and online resources that I found helpful. SetupInitially I connected the Raspberry Pi via HDMI to a TV; together with keyboard, ...
[Read more...]

Estimating a nonlinear time series model in R

January 20, 2014 | Rob J Hyndman

There are quite a few R packages available for nonlinear time series analysis, but sometimes you need to code your own models. Here is a simple example to show how it can be done. The model is a first order threshold autoregression:     where is a Gaussian white noise series with ... [Read more...]

Bayesian First Aid: Binomial Test

January 20, 2014 | Rasmus Bååth

The binomial test is arguably the conceptually simplest of all statistical tests: It has only one parameter and an easy to understand distribution for the data. When introducing null hypothesis significance testing it is puzzling that the binomial test is not the first example of a test but sometimes is ... [Read more...]

AMPLab Announces Developer Preview of SparkR

January 20, 2014 | Thomas W DInsmore

The team at AMPLab has announced a developer preview of SparkR, an R package enabling R users to run jobs on an Apache Spark cluster. Spark is an open source project that supports distributed in-memory computing for advanced analytics, such as fast queries, machine learning, streaming analytics and graph engines. ... [Read more...]

Get No. of Google Search Hits with R and XML

January 20, 2014 | Kay Cichini

UPDATE: Thanks to Max Ghenis for updating my R-script which I wrote a while back - the below R-script can now be used again for pulling the number of hits from Google-Search.GoogleHits { require(XML) require(RCurl) url input, "\"", sep = "") CAINFO = paste(system.file(package="RCurl"), "/CurlSSL/ca-bundle.crt", sep = "") ... [Read more...]
1 4 5 6 7 8 13

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)