Following my post on citations in academic journals, I wanted to go one step further in the understanding of the dynamic of citations. So here, the dataset looks like that: for each article, we have the name of the journal, the year of publicatio...
1078 search results for "regression"
Stationarity
In time series work you often run into difficulties in modeling processes where the overall level of one variable (an input, for example) changes over time but the levels of another variable (an output) do not change. For instance if … Continue reading →
Think academic journals look the same ? Well, some do…
We have seen yesterday that finding an optimal strategy to publish is not that simple. And actually, it can be even more difficult in the case the journal rejects the paper (not because it is not correct, but because "it does not fit" with the stan...
4 and a half myths about beta in finance
Much of what has been said and thought about beta in finance is untrue. Myth 1: beta is about volatility This myth is pervasive. Beta is associated with the stock’s volatility but there is more involved. Beta is the ratio of the volatility of the stock to the volatility of the market times the correlation … Continue reading...
R courses from Statistics.com
If you're looking for some in-depth training in R, here are some upcoming courses presented by R gurus and hosted by statistics.com to consider: Feb 11: Modeling in R (Sudha Purohit -- more details after the jump) Mar 4: Introduction to R - Data Handling (Paul Murrell) Apr 15: Programming in R (Hadley Wickham) Apr 29: Graphics in R...
Reproducing the BMA exercise of Fernández, Ley and Steel (2001) in R
In their paper Model uncertainty in cross-country growth regressions (Journal of Applied Econometrics 2001), Fernández, Ley and Steel (FLS) demonstrate the use of Bayesian Model Averaging (BMA) for a cross-section economic growth data set. This tutor...
Open data might be a false good opportunity…
I am always surprised to see many people on Twitter tweeting about #opendata, e.g. @data4all, @usdatagov, @datapublicatwit, @ProPublica or @open3 among so many others... Initially, I was also very enthousiastic, but I have to admit that open data a...
Boxplots and Beyond – Part II: Asymmetry
In my last post, I discussed boxplots in their simplest forms, illustrating some of the useful options available with the boxplot command in the open-source statistical software package R. As I noted in that post, the basic boxplot is both useful...
Assessing Climate Trends: Eyeball versus Regression
In a previous post, I showed the Lower Stratospheric Temperature Anomaly (TLS) Trends (link). A reader submitted the following comment: “The lower stratosphere temperature profile is essentially flat from ca. 1995 to the present. This approximately mirrors the temperature trend … Continue reading →
Revolution R Enterprise 4.2 now available
Today we're pleased to announce the availability of the latest update to the Revolution R family, Revolution R Enterprise 4.2. This release includes all of the capabilities of the most powerful statistical software available, open-source R (version 2.11.1), plus additional components for big data analysis, integration, user experience and more. Version 4.2 includes a number of new features, including:...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
