JArt Messages:
in file: indexes/main/packages/blogs_we_read/blogs_we_read.jart
art:get-xml: jart.JArtException: org.jdom.input.JDOMParseException: Error on line 6: Expected "</hr>" to terminate element starting on line 5.
in file: indexes/main/packages/blogs_we_read/blogs_we_read.jart
art:get-xml: jart.JArtException: org.jdom.input.JDOMParseException: Error on line 6: Expected "</hr>" to terminate element starting on line 5.
in file: indexes/main/packages/blogs_we_read/blogs_we_read.jart
art:get-xml: jart.JArtException: org.jdom.input.JDOMParseException: Error on line 6: Expected "</hr>" to terminate element starting on line 5.
in file: indexes/main/packages/blogs_we_read/blogs_we_read.jart
art:get-xml: jart.JArtException: org.jdom.input.JDOMParseException: Error on line 27: Next character must be ">" terminating comment .
in file: indexes/main/packages/blogs_we_read/blogs_we_read.jart
art:get-xml: jart.JArtException: org.jdom.input.JDOMParseException: Error on line 168: Illegal XML character: .
in file: indexes/main/packages/blogs_we_read/blogs_we_read.jart
art:get-xml: jart.JArtException: java.io.FileNotFoundException: /usr/local/apache-tomcat-7.0/webapps/jart/prj3/egos/feed:/www.culturalsourcesofnewness.net/feed (No such file or directory)
in file: indexes/main/packages/blogs_we_read/blogs_we_read.jart
art:get-xml: jart.JArtException: org.jdom.input.JDOMParseException: Error on line 6: Expected "</hr>" to terminate element starting on line 5.
blog.faculty.london.edu/strategyandentrepreneurship

The Ghoshal Blog

The Dog That Didn’t Bark: Long-Term Strategies In Times Of Recession
Full paper available at SSRN. The recent economic and financial crisis of 2007-2009 had dramatic consequences for individuals, communities, corporations, and governments around the world. In fact, the period of the crisis has been named the “Great Recession” because it is the worst post-World War II contraction on record.[1] According to the U.S. Department of […]
Sustainability: From Surviving To Thriving
It is hard for any business leader today to ignore sustainability. Indeed, the latest UN Global Compact–Accenture CEO study found that 97% of the 1,000 CEOs interviewed across 103 countries and 27 industries see sustainability as important to the future success of their business. Moreover, 78% see sustainability as an opportunity for growth and innovation. […]
Three Steps to Find a New Way to Compete
Michael Levie, a seasoned hotel executive, and Rattan Chadha, a successful retail entrepreneur, were having dinner. The topic of conversation was the hotel industry. Both men thought that the industry was stale and too homogeneous relative to the diversity of customers it sought to serve. The industry had largely been unaltered since the onset of […]
andrewgelman.com

Statistical Modeling, Causal Inference, and Social Science

30 tickets left to StanCon 2017! New sponsor!

Stan Conference 2017 is on Saturday. We just sold our 150th ticket! Capacity is 180. It’s going to be an amazing event. Register here (while tickets are still available): https://stancon2017.eventbrite.com Our Q&A Panel will have some members of the Stan Development Team: Andrew Gelman. Stan super user. Bob Carpenter. Stan language, math library. Michael Betancourt. […]

The post 30 tickets left to StanCon 2017! New sponsor! appeared first on Statistical Modeling, Causal Inference, and Social Science.

“If the horse race polls were all wrong about Trump, why should his approval rating polls be any better?”

A journalist forwarded the above question to me and asked what I thought. My reply is that the horse race polls were not all wrong about Trump. The polls had him at approx 48% of the two-party vote and he received 49%. The polls were wrong by a few percentage points in some key swing […]

The post “If the horse race polls were all wrong about Trump, why should his approval rating polls be any better?” appeared first on Statistical Modeling, Causal Inference, and Social Science.

Laurie Davies: time series decomposition of birthday data

On the cover of BDA3 is a Bayesian decomposition of the time series of birthdays in the U.S. over a 20-year period. We modeled the data as a sum of Gaussian processes and fit it using GPstuff. Occasionally we fit this model to new data; see for example this discussion of Friday the 13th and […]

The post Laurie Davies: time series decomposition of birthday data appeared first on Statistical Modeling, Causal Inference, and Social Science.

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