andrew_gelman_stats andrew_gelman_stats-2011 andrew_gelman_stats-2011-974 knowledge-graph by maker-knowledge-mining
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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: 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.
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Introduction: Postdoc #1. Hierarchical Modeling and Computation: We are fitting hierarchical regression models with deep interactions. We’re working on new models with structured prior distributions, and this also requires advances in Bayesian computation. Applications include public opinion, climate reconstruction, and education research. Postdoc #1 is funded by grants from the Department of Energy, Institute of Education Sciences, and National Science Foundation. Postdoc #2. Hierarchical Modeling and Statistical Graphics: The goal of this research program is to investigate the application of the latest methods of multi-level data analysis, visualization and regression modeling to an important commercial problem: forecasting retail sales at the individual item level. These forecasts are used to make ordering, pricing and promotions decisions which can have significant economic impact to the retail chain such that even modest improvements in the accuracy of predictions, across a large retailer’s
4 0.13420367 2173 andrew gelman stats-2014-01-15-Postdoc involving pathbreaking work in MRP, Stan, and the 2014 election!
Introduction: We’re working with polling company YouGov to track public opinion, state-by-state and district-by-district, during the 2014 campaign. We’ll be using multilevel regression and poststratification, and implementing it in Stan, and developing the necessary new parts of Stan to get this running scalably and efficiently. And we’ll be making the most detailed, up-to-date election forecasts. What you’ll be doing if you join us as a postdoc: - You’ll be in the midst of the most advanced polling team anywhere; - You’ll be doing cutting-edge statistical research on MRP with deep interactions; - You’ll be doing basic research in statistical computing, developing fast and scalable deterministic and stochastic algorithms for fitting multilevel models; - You’ll be working inside Stan, the most advanced general computational framework for Bayesian analysis. We’re doing research, not just implementing existing methods. What we need: - Stats knowledge. You should know your way around Ba
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: (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: Liz Stuart sends this one along: Johns Hopkins University Post-Doctoral Fellow Opening The Department of Mental Health invites applications for a post-doctoral research fellow in Statistical Methods for Mental Health Research, to be supervised by Dr. Elizabeth Stuart. The successful applicant for this position will work on an NIH funded study to develop and evaluate propensity score methods when the covariates are measured with error, or when datasets contain similar, but not identical, measures of covariates of interest. The post-doc will work with a team of researchers on development of new statistical methods, analysis of existing data, Monte Carlo simulations, and will take the lead on scientific publications. Opportunities will be provided for training in causal inference, missing data, latent variable methods, the evaluation of statistical methods, and the application of statistics to mental health and education. The three particular motivating examples will be: earl
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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: I put it at the sister blog so the politics-haters among you could skip it. . . .
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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: 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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