andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-479 knowledge-graph by maker-knowledge-mining
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Introduction: Two positions open in the statistics group at the NYU education school. If you get the job, you get to work with Jennifer HIll! One position is a postdoctoral fellowship, and the other is a visiting professorship. The latter position requires “the demonstrated ability to develop a nationally recognized research program,” which seems like a lot to ask for a visiting professor. Do they expect the visiting prof to develop a nationally recognized research program and then leave it there at NYU after the visit is over? In any case, Jennifer and her colleagues are doing excellent work, both applied and methodological, and this seems like a great opportunity.
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same-blog 1 1.0000001 479 andrew gelman stats-2010-12-20-WWJD? U can find out!
Introduction: Two positions open in the statistics group at the NYU education school. If you get the job, you get to work with Jennifer HIll! One position is a postdoctoral fellowship, and the other is a visiting professorship. The latter position requires “the demonstrated ability to develop a nationally recognized research program,” which seems like a lot to ask for a visiting professor. Do they expect the visiting prof to develop a nationally recognized research program and then leave it there at NYU after the visit is over? In any case, Jennifer and her colleagues are doing excellent work, both applied and methodological, and this seems like a great opportunity.
Introduction: (1) Hop the Q-Train ! That is, the Columbia/NYU Quantitative Training Program, funded by the Institute of Education Sciences to create a cohort of postdoctoral scholars both to develop the new statistical methods required to meet future research challenges and to effectively train and consult with other education researchers. You’ll be working with Jennifer Hill, Marc Scott, and me on our exciting research projects, some of which are here ! Candidates must be United States citizens or permanent residents. For best consideration applications must be submitted before 15 Nov 2012. Please direct administrative inquiries to Jonathan Winters at jonathan.winters@nyu.edu and substantive inquiries to Jennifer or me. (2) The Earth Institute Postdoctoral Fellows program ! Every year a select group of recent Ph.D.s in a variety of fields come to the Earth Institute for this two-year research fellowship. I’d love to see more statisticians applying. To apply, candidates must compl
Introduction: David Hogg points me to this announcement of a program from the National Center for Science and Engineering Statistics of the National Science Foundation: The Center would like to enhance its efforts to support analytic and methodological research in support of its surveys, and to engage in the education and training of researchers in the use of large-scale nationally representative datasets. NCSES welcomes efforts by the research community to use NCSES data for research on the science and technology enterprise. This sounds like a job for Mister P. My first thought when David sent this to me was not to post it, because maybe I’d want to apply myself! But then I thought better of my piggy instincts, so here it is. I think some of the readers of this blog are doing research that would be relevant for this program, so . . . go for it!
4 0.12081413 2108 andrew gelman stats-2013-11-20-That’s crazy talk!
Introduction: Tenure track faculty opening at the Center for the Promotion of Research Involving Innovative Statistical Methodology, with Jennifer Hill, Marc Scott, and other world-class researchers. It looks like a great opportunity.
5 0.12019736 2323 andrew gelman stats-2014-05-07-Cause he thinks he’s so-phisticated
Introduction: This story (“Yale tells students to keep Kissinger talk secret . . . ‘Dr. Kissinger’s visit to campus will not be publicized, so we appreciate your confidentiality…’”) reminds me of two things: - In the 1980s, I once went to a public lecture at Harvard by Kissinger protogé Ted Koppel, who indeed has that deep Ted Koppel voice even when he’s just chatting (as I overheard). Koppel insisted that the contents of his talk not be reported. It was no great loss; he didn’t really have anything newsworthy to say. The talk was fine, he told us some interesting things, just nothing that would’ve made the news or even the campus newspaper. Still, it seemed kinda tacky for a reporter whose shtick was access to the powerful, to not want his own speech to be reported. - In the 1990s, a colleague of mine in a different dept told us that this professor from another university was coming by to give a lecture. I told my colleague that I’d like to meet with the guy, as I wanted to ask his opin
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Introduction: Two positions open in the statistics group at the NYU education school. If you get the job, you get to work with Jennifer HIll! One position is a postdoctoral fellowship, and the other is a visiting professorship. The latter position requires “the demonstrated ability to develop a nationally recognized research program,” which seems like a lot to ask for a visiting professor. Do they expect the visiting prof to develop a nationally recognized research program and then leave it there at NYU after the visit is over? In any case, Jennifer and her colleagues are doing excellent work, both applied and methodological, and this seems like a great opportunity.
Introduction: (1) Hop the Q-Train ! That is, the Columbia/NYU Quantitative Training Program, funded by the Institute of Education Sciences to create a cohort of postdoctoral scholars both to develop the new statistical methods required to meet future research challenges and to effectively train and consult with other education researchers. You’ll be working with Jennifer Hill, Marc Scott, and me on our exciting research projects, some of which are here ! Candidates must be United States citizens or permanent residents. For best consideration applications must be submitted before 15 Nov 2012. Please direct administrative inquiries to Jonathan Winters at jonathan.winters@nyu.edu and substantive inquiries to Jennifer or me. (2) The Earth Institute Postdoctoral Fellows program ! Every year a select group of recent Ph.D.s in a variety of fields come to the Earth Institute for this two-year research fellowship. I’d love to see more statisticians applying. To apply, candidates must compl
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Introduction: The Center for the Promotion of Research Involving Innovative Statistical Methodology at the Steinhardt School of Education has two job openings ! One is for an assistant/associated tenure track position for an applied statistician or psychometrician. The other is for a postdoc in causal inference and sensitivity analysis. Jennifer Hill and Marc Scott at the Steinhardt school are just great! We’re working together on various research projects so if you manage to get one of these jobs maybe you can collaborate with us here at Columbia too. So I have every interest in encouraging the very best people to apply for these jobs.
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Introduction: Tenure track faculty opening at the Center for the Promotion of Research Involving Innovative Statistical Methodology, with Jennifer Hill, Marc Scott, and other world-class researchers. It looks like a great opportunity.
Introduction: Andrew Gelman (Columbia University) and Jennifer Hill (New York University) seek to hire a post-doctoral fellow to work on development of iterative imputation algorithms and diagnostics for missing-data imputation. Activities would include model-development, programming, and data analysis. This project is funded by a grant from the Institute of Education Sciences. Other collaborators on the project include Jingchen Liu and Ben Goodrich. This is a two-year position that would start this summer (2011) or earlier if possible. The ideal candidate will have a statistics or computer science background, will be interested in statistical modeling, serious programming, and applications. He or she should be able to work fluently in R and should already know about hierarchical models and Bayesian inference and computation. Experience or interest in designing GUIs would be a bonus, since we are attempting to improve our GUI for missing data imputation. The successful candidate will beco
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1 0.88970208 2108 andrew gelman stats-2013-11-20-That’s crazy talk!
Introduction: Tenure track faculty opening at the Center for the Promotion of Research Involving Innovative Statistical Methodology, with Jennifer Hill, Marc Scott, and other world-class researchers. It looks like a great opportunity.
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Introduction: Two positions open in the statistics group at the NYU education school. If you get the job, you get to work with Jennifer HIll! One position is a postdoctoral fellowship, and the other is a visiting professorship. The latter position requires “the demonstrated ability to develop a nationally recognized research program,” which seems like a lot to ask for a visiting professor. Do they expect the visiting prof to develop a nationally recognized research program and then leave it there at NYU after the visit is over? In any case, Jennifer and her colleagues are doing excellent work, both applied and methodological, and this seems like a great opportunity.
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Introduction: At the sister blog .
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Introduction: Tutu forecast and religion and torture (from the sister blog). P.S. For partisan balance, don’t forget this projection from 1961.
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Introduction: I’ve become increasingly uncomfortable with the term “confidence interval,” for several reasons: - The well-known difficulties in interpretation (officially the confidence statement can be interpreted only on average, but people typically implicitly give the Bayesian interpretation to each case), - The ambiguity between confidence intervals and predictive intervals. (See the footnote in BDA where we discuss the difference between “inference” and “prediction” in the classical framework.) - The awkwardness of explaining that confidence intervals are big in noisy situations where you have less confidence, and confidence intervals are small when you have more confidence. So here’s my proposal. Let’s use the term “uncertainty interval” instead. The uncertainty interval tells you how much uncertainty you have. That works pretty well, I think. P.S. As of this writing, “confidence interval” outGoogles “uncertainty interval” by the huge margin of 9.5 million to 54000. So we
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