FYI..
Gary
---
http://gking.harvard.edu
---------- Forwarded message ----------
From: Patrick Lam <plam at fas.harvard.edu>
Date: Wed, Jan 27, 2010 at 3:03 PM
Subject: Informal Bayesian Course
To: Gary King <king at harvard.edu>
Hi Gary,
If on the off chance that any of your Gov 2001 kids may be interested, could
you pass this along?
The Gov department traditionally offers a course on Bayesian Statistics (Gov
2003), which is used by a growing number of scholars in political science
and many other fields. However, the course is not being offered this year.
Therefore, a few Gov students are getting together for an informal course on
Bayesian statistics. This is an opportunity to learn the foundations of
Bayesian statistics in a less pressured environment. While the informal
course carries no grades, you will be expected to work as hard as a regular
methods course, and the material will likely be harder than what most people
have seen. The course will cover the materials from the old Gov 2003. We
meet on Tuesdays 4-6 in CGIS K354, beginning February 2. Familiarity with
maximum likelihood (basically the first half of Gov 2001) and basic
probability is ideal, but not a dealbreaker. If anybody is interested in
joining us, please email me for more information (plam at fas.harvard.edu).
Thanks!
--
Patrick Lam
Department of Government and Institute for Quantitative Social Science,
Harvard University
http://www.people.fas.harvard.edu/~plam<http://www.people.fas.harvard.edu/%7Eplam>
Hi folks,
If you were late in joining the list, this is just another reminder
that we'll be hosting an R orientation session from 6 to 7pm tonight
in CGIS K 354. This session is completely optional, but I encourage
those of you who have never used R to attend.
Please bring your laptop, if you have one, so you can follow along.
Also -- just so we can hit the ground running, please try to download
R onto your computers. Go to http://www.r-project.org and click on
CRAN. You can then follow the download instructions for your
particular platform (Windows, Mac, Linux). If you have problems with
that, you can hold off, and we can help you tonight.
best, Maya
Hi folks,
Welcome to the Gov 2001 list! I just have a few announcements.
First, as was announced in lecture yesterday, we'll be hosting an R
orientation session tomorrow in K 354 (same room as where lecture and
section meet) this Wednesday from 6 to 7pm. We'll be going over how to
download R, how to do basic commands, and how to write simple
functions and for loops. We'll also go over using LaTeX, if we have
time. Bring your laptop if you want to follow along. People who have
never used R before are very strongly encouraged to attend! This
session will be taped, and I'll also post the material online.
Second, we'll be having our first section meeting Thursday in K -354
also at 6pm. Sections will also be taped, and we will post all of the
section material to the course website.
Third, feel free to use this list to email about anything related to
the course -- problem sets, questions from lecture, issues about the
replication paper, etc. The list is a terrific resource and you'll
generally get a speedy response, no matter what your request (and no
matter the time of day!). Note that you must use the email address
that you used to sign up for the list in order to send an email to the
list. Also note that if you hit "reply," your message will be
forwarded to the entire list, not just to the person to whom you're
replying!
Again, welcome to the list and to the class. I look forward to a great semester!
Maya
Dear Michael:
I work at downtown crossing and pass by the Longwood area at least twice a
week. I have math and statistics background and definitely could use more
programing skills.
Regards
--
Yousuf
Analyst
Affordable Housing Institute
38 Chauncy Street, Suite 600
Boston, MA 02111
Phone: (617) 502.5980
www.affordablehousinginstitute.org
ok, one more!
Gary
---
http://gking.harvard.edu
---------- Forwarded message ----------
From: Andrew Gelman <gelman at stat.columbia.edu>
Date: Thu, Jan 7, 2010 at 4:58 PM
Subject: [POLMETH] Postdoc available at Columbia University!
To: POLMETH at artsci.wustl.edu
We are hiring a postdoc to work on research projects in our Applied
Statistics Center. ?There are several projects going on including the
following:
Political science: ?Estimating public opinion in subsets of the
population (for example, school vouchers are more popular among richer
whites and poorer minorities); Connections between state-level opinion
and state policies; Understanding economic attitudes, social
attitudes, and voting; Social networks and political polarization.
Methods and computation: ?Poststratification of sample surveys;
Missing-data imputation; Hierarchical models for logistic regressions
with deep interactions; Varying-intercept, varying-slope regression
models; Computation for multilevel regression.
Applicants should have experience with Bayesian methods, a willingness
to program, and an interest in learning. Applications will be
considered as they arrive. ?The application consisting of cover
letter, cv and a selection of published or unpublished articles should
be emailed to asc.coordinator at stat.columbia.edu. Please also arrange
for three letters of recommendation to be sent to the same email
address.
This is an exciting place to work: our research group involves several
faculty, postdocs, graduate students, and undergraduates working on a
wide range of interesting applied problems. We also have strong links
to the Earth Institute, the Center for Computational Learning Systems,
and the Columbia Population Research Center, as well as to Statistics,
Political Science, and other academic departments at Columbia. As a
postdoc here, you will have an opportunity to work on collaborative
projects on theory, application, computation, and graphics. You can
talk to our current and former postdocs if you want to hear how great
it is to work here. Positions are usually for two years. Columbia
University is an Equal Opportunity/Affirmative Action employer.
--
Andrew Gelman
Professor, Department of Statistics
Professor, Department of Political Science
Director, Applied Statistics Center
Columbia University, New York
gelman at stat.columbia.eduhttp://www.stat.columbia.edu/~gelman
** I never read my email before 4pm. **
Statistics Department office:
?Social Work Bldg (Amsterdam Ave at 122 St), Room 1016
?phone 212-851-2142, fax 212-851-2164
Political Science Dept office:
?International Affairs Bldg (Amsterdam Ave at 118 St), Room 731
?phone 212-854-7075, fax 212-222-0598
Playroom:
?International Affairs Bldg (Amsterdam Ave at 118 St), Room 707
Mailing address: ?Andrew Gelman, Department of Statistics, 1255
Amsterdam Avenue, 10th floor, Columbia University, New York, N.Y.
10027
**********************************************************
? ? ? ? ? ?Political Methodology E-Mail List
?Editors: Xun Pang ? ? ? ?<xpang at wustl.edu>
? ? ? ? ? Jon C. Rogowski <rogowski.jon at gmail.com>
**********************************************************
? ? ? Send messages to polmeth at artsci.wustl.edu
?To join the list, cancel your subscription, or modify
? ? ? ? ?your subscription settings visit:
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fyi below. also, we'll switch this mailing list to the entering class soon,
so this is one of the last of these messages you'll get. I hope you all had
a great break and have a terrifically productive (and productively terrific)
new year.
Take care,
Gary
---
http://GKing.Harvard.edu
---------- Forwarded message ----------
From: Harrison, Chase <charrison at hbs.edu>
Date: Fri, Jan 8, 2010 at 5:24 PM
Subject: Greetings and Job Posting
To: "king at harvard.edu" <king at harvard.edu>
Hi Gary,
I hope you are doing well. We have an opening for a statistician in my
unit. It's an ideal position for someone with a strong methods background
who enjoys doing applied quantitative research in an academic setting. I am
posting a link and listing below.
If you know of anyone who might be a good fit, please don't hesitate to pass
this along.
All the best,
Chase
http://jobs.harvard.edu/jobs/summ_req?in_post_id=43080
Statistician/Analyst
Harvard Business School
Position Number 38614
Department Division of Research and Faculty Development
Location Boston
Full Or Part Time Full-Time
Salary Grade 058
Date Posted 01/08/2010
Duties And Responsibilities Reporting to Director of Research Computing
Services, works directly with faculty and other RCS staff in support of
research-related projects. Provides advanced statistical consultation for
faculty researchers and doctoral students. Maintains expertise in new
research methodologies and techniques. Provides design and statistical
consultation for researchers, as well as primary support and training for
two or more statistical software packages (e.g., SAS, Stata, MATLAB, R,
Mathematica). Assists research associates with implementation of statistical
programs. Produces results as reports, presentations, graphics, web sites.
Explores and tests statistical software. Develops statistical and technical
documents for the RCS web site.
Basic Qualifications Advanced degree in quantitative field required; 3+
years statistical/programming experience in research based setting;
mathematics background; broad training and good habits in data management
and analysis; expertise with multiple statistical software packages,
including SAS, Stata, MatLab, Mathematica or R; problem solving skills,
organizational ability, communication skills, initiative. Strong customer
service orientation. Ability to work independently and on a team.
Demonstrated ability and desire to develop and maintain expertise in
emerging research methods and technologies.
Additional Qualifications Ph.D. preferred. Desired abilities include
experience in Linux-based parallel processing computing environments;
business-related research experience; experience with large data sets;
familiarity with computer programming languages .
Additional Information The start date for this position will be mid-June to
early-July 2010.
Required Screening Harvard University requires pre-employment reference
and background screening.
Harvard University is an Affirmative Action/Equal Opportunity Employer.
Chase H. Harrison
Director, Research Computing Services
Principal Survey Methodologist
Harvard Business School
Baker Library | Bloomberg Center B-93
Soldiers Field Rd.
Boston, MA 02163
617.495.6100 (Main)
617.496.6252 (Direct)
617.495.5287 (FAX)
charrison at hbs.edu
