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2100 andrew gelman stats-2013-11-14-BDA class G+ hangout another try


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Introduction: Tomorrow (Thurs) 8h30 (Paris time) I will be teaching my Bayesian Data Analysis class (class4a.pdf and class4b.pdf, you can follow the slides here ). We had problems earlier with the regular G+ hangout, so this time we’re trying the G+ On-Air Hangout which I think should work better. I’ll post a blog entry tomorrow with a link to the hangout. Let’s hope for the best!


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 Tomorrow (Thurs) 8h30 (Paris time) I will be teaching my Bayesian Data Analysis class (class4a. [sent-1, score-0.279]

2 We had problems earlier with the regular G+ hangout, so this time we’re trying the G+ On-Air Hangout which I think should work better. [sent-4, score-0.717]

3 I’ll post a blog entry tomorrow with a link to the hangout. [sent-5, score-0.934]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

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Introduction: Tomorrow (Thurs) 8h30 (Paris time) I will be teaching my Bayesian Data Analysis class (class4a.pdf and class4b.pdf, you can follow the slides here ). We had problems earlier with the regular G+ hangout, so this time we’re trying the G+ On-Air Hangout which I think should work better. I’ll post a blog entry tomorrow with a link to the hangout. Let’s hope for the best!

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Introduction: Here’s the link . When you’re on the hangout, please mute your own microphone! I’ll have the computer point at the blackboard. You can follow along with the slides: for the first hour for the second hour P.S. Apparently there is some limit on number of hangout participants (see comments). I didn’t know about that! Maybe next time will try “on air” hangout, I will have to learn more about this. Next week the teaching asst will do the course so no hangout, then in two weeks there is no class because it’s the day after Halloween and that’s a holiday around here. So we’ll resume this on Fri 8 Nov. See you then! P.P.S. Those of you who were able to join the hangout: Could you please let me know how the visual and sound quality were? Thanks.

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Introduction: As announced earlier , I’ll be putting my Bayesian Data Analysis course on a G+ hangout. It meets each Friday 8h30 Paris time, starting 18 Oct. Just to try things out, I’ll do a mini-hangout tomorrow (Thurs) 8h30. What I’ll do is set up the hangout, then post the url in a new blog post. I’ll then talk for a few minutes. You should be able to click the url into your browser and see me. If this all works, I’ll do the same thing this Friday 8h30, with a new blog post and a new url.

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Introduction: Try this link . . . . OK, it worked (as well as might be expected given that we don’t have any professional audiovisual people involved). Tomorrow 8h30, I’ll post a new link with the new G+ hangout. We’ll be going through the first two sets of slides (class1a.pdf and class1b.pdf) following the link for the slides here .

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Introduction: X marks the spot . I’ll post the slides soon (not just for the students in my class; these should be helpful for anyone teaching Bayesian data analysis from our book ). But I don’t think you’ll get much from reading the slides alone; you’ll get more out of the book (or, of course, from taking the class).

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Introduction: Tomorrow (Thurs) 8h30 (Paris time) I will be teaching my Bayesian Data Analysis class (class4a.pdf and class4b.pdf, you can follow the slides here ). We had problems earlier with the regular G+ hangout, so this time we’re trying the G+ On-Air Hangout which I think should work better. I’ll post a blog entry tomorrow with a link to the hangout. Let’s hope for the best!

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Introduction: As announced earlier , I’ll be putting my Bayesian Data Analysis course on a G+ hangout. It meets each Friday 8h30 Paris time, starting 18 Oct. Just to try things out, I’ll do a mini-hangout tomorrow (Thurs) 8h30. What I’ll do is set up the hangout, then post the url in a new blog post. I’ll then talk for a few minutes. You should be able to click the url into your browser and see me. If this all works, I’ll do the same thing this Friday 8h30, with a new blog post and a new url.

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Introduction: Here’s the link . When you’re on the hangout, please mute your own microphone! I’ll have the computer point at the blackboard. You can follow along with the slides: for the first hour for the second hour P.S. Apparently there is some limit on number of hangout participants (see comments). I didn’t know about that! Maybe next time will try “on air” hangout, I will have to learn more about this. Next week the teaching asst will do the course so no hangout, then in two weeks there is no class because it’s the day after Halloween and that’s a holiday around here. So we’ll resume this on Fri 8 Nov. See you then! P.P.S. Those of you who were able to join the hangout: Could you please let me know how the visual and sound quality were? Thanks.

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Introduction: Try this link . . . . OK, it worked (as well as might be expected given that we don’t have any professional audiovisual people involved). Tomorrow 8h30, I’ll post a new link with the new G+ hangout. We’ll be going through the first two sets of slides (class1a.pdf and class1b.pdf) following the link for the slides here .

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Introduction: Tomorrow (Thurs) 8h30 (Paris time) I will be teaching my Bayesian Data Analysis class (class4a.pdf and class4b.pdf, you can follow the slides here ). We had problems earlier with the regular G+ hangout, so this time we’re trying the G+ On-Air Hangout which I think should work better. I’ll post a blog entry tomorrow with a link to the hangout. Let’s hope for the best!

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Introduction: Jeff Witmer writes: I noticed that you continue the standard practice in statistics of referring to assumptions; e.g. a blog entry on 2/4/11 at 10:54: “Our method, just like any model, relies on assumptions which we have the duty to state and to check.” I’m in the 6th year of a three-year campaign to get statisticians to drop the word “assumptions” and replace it with “conditions.” The problem, as I see it, is that people tend to think that an assumption is something that one assumes, as in “assuming that we have a right triangle…” or “assuming that k is even…” when constructing a mathematical proof. But in statistics we don’t assume things — unless we have to. Instead, we know that, for example, the validity of a t-test depends on normality, which is a condition that can and should be checked. Let’s not call normality an assumption, lest we imply that it is something that can be assumed. Let’s call it a condition. What do you all think?

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Introduction: Adam Marcus at Retraction Watch reports on a physicist at the University of Toronto who had this unfortunate thing happen to him: This article has been retracted at the request of the Editor-in-Chief and first and corresponding author. The article was largely a duplication of a paper that had already appeared in ACS Nano, 4 (2010) 3374–3380, http://dx.doi.org/10.1021/nn100335g. The first and the corresponding authors (Kramer and Sargent) would like to apologize for this administrative error on their part . . . “Administrative error” . . . I love that! Is that what the robber says when he knocks over a liquor store and gets caught? As Marcus points out, the two papers have different titles and a different order of authors, which makes it less plausible that this was an administrative mistake (as could happen, for example, if a secretary was given a list of journals to submit the paper to, and accidentally submitted it to the second journal on the list without realizing it

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