These are my links for February 22nd through February 24th:
- Logic and Formal Semantics for Epistemology Longversion.pdf (application/pdf Object) – This essay introduces some of the formal apparatus of epistemic logic and discusses its applicability to epistemological questions. The literature on knowability and belief revision are discussed in other chapters in this volume and so they will not be treated in detail here.
- How Did Economists Get It So Wrong? – NYTimes.com – It’s hard to believe now, but not long ago economists were congratulating themselves over the success of their field. Those successes — or so they believed — were both theoretical and practical, leading to a golden era for the profession. On the theoretical side, they thought that they had resolved their internal disputes.. in the real world, economists believed they had things under control: the “central problem of depression-prevention has been solved,” declared Robert Lucas of the University of Chicago in his 2003 presidential address to the American Economic Association. In 2004, Ben Bernanke, a former Princeton professor who is now the chairman of the Federal Reserve Board, celebrated the Great Moderation in economic performance over the previous two decades, which he attributed in part to improved economic policy making.Last year, everything came apart.
- How Google’s Algorithm Rules the Web | Magazine – [Google] has used its mysterious, seemingly omniscient algorithm to, as its mission statement puts it, “organize the world’s information.” But over the past five years, a slew of companies have challenged Google’s central premise: that a single search engine, through technological wizardry and constant refinement, can satisfy any possible query. Facebook launched an early attack with its implication that some people would rather get information from their friends than from an anonymous formula. Twitter’s ability to parse its constant stream of updates introduced the concept of real-time search, a way of tapping into the latest chatter and conversation as it unfolds. Yelp helps people find restaurants, dry cleaners, and babysitters by crowdsourcing the ratings. None of these upstarts individually presents much of a threat, but together they hint at a wide-open, messier future of search — one that isn’t dominated by a single engine but rather incorporates a grab bag of services.
- PROFESSIONALS DO NOT PLAY MINIMAX: EVIDENCE FROM MAJOR LEAGUE BASEBALL AND THE NATIONAL FOOTBALL LEAGUE.pdf (application/pdf Object) – We observe more than three million pitches in baseball and 125,000 play choices for football. We find systematic deviations from minimax play in both data sets. Pitchers appear to throw too many fastballs; football teams pass less than they should. In both sports, there is negative serial correlation in play calling. Back of the envelope calculations suggest that correcting these decision making errors could be worth as many as two additional victories a year to a Major League Baseball franchise, and more than a half win per season for a professional football team.
These are my links for February 12th from 15:07 to 15:48:
- Revolutions: How to combine Google maps and data in R – Every good artist needs a canvas, and when it comes to displaying geographic data placing those data in context — on a map — makes all the difference. A new package for R from Markus Loecher, RgoogleMaps, allows you to download a street or satellite map from Google simply by specifying the bounding latitude/longitude coordinates. (You need to sign up for a free Google API key first, though.) You can then overlay data from objects in R, using tools provided to convert to the map-based coordinate system. Here’s an example from the package vignette overlaying the locations of faults (provided as data in the geomapdata package) on a satellite map:
- Data munging with SQL and R.pdf (application/pdf Object) – …while it is possible to shoe-horn a one-to-one mapping of SQL clauses with R functions, R generally has better ways of going about things. In the example that we are about to walk through, experienced R users will think of more R-esque ways of doing things, but the goal here is to get as close to one-to-one with methodology and output.
- VCASMO – Web Development with R – Presentations given at the Bay Area useR Group on January 10, 2010 by Jeroen Ooms, on how to create web applications use R.
- Welcome to Aviary – Photo-editing, logos, web templates, filters, color palettes, screen capture & more at Aviary.com
These are my links for October 6th from 04:09 to 10:47:
- Public Radio Exchange – Public Radio Exchange is an online marketplace for distribution, review, and licensing of public radio programming. PRX is also a growing social network and community of listeners, producers, and stations collaborating to reshape public radio.
- Project 10 to the 100 – Last fall we launched Project 10^100, a call for ideas to change the world by helping as many people as possible. Your response was overwhelming. Thousands of people from more than 170 countries submitted more than 150,000 (or around 10^5.2) ideas, from general investment suggestions to specific implementation proposals. As we reviewed these submissions, we started noticing lots of similar ideas related to certain broad topics, and decided that combining the best aspects of these individual proposals would produce the most innovative approaches to solving some very pressing problems.
- Model Selection – In statistics and machine learning, "model selection" is the problem of picking among different mathematical models which all purport to describe the same data set. This notebook will not (for now) give advice on it; as usual, it's more of a place to organize my thoughts and references…
Classification of approaches to model selection (probably not really exhaustive but I can't think of others, right now):
- Math Overflow – What kind of questions can I ask here?
Mathematics questions, of course! As long as your question is of interest to at least one other mathematician somewhere, it is welcome here. Please make your question detailed and specific, and write clearly and simply. "Newbie" questions are welcome and even encouraged; after all, part of the goal of this site is to be the canonical repository of standard questions and answers that mathematicians have when they are exploring a new field.
Recently I was enticed into activating you so that you could add a section to my Google News page populated with stories targeted by my search history. I truly believe that those of us that live in today’s great information glut need ways to filter irrelevant chatter and focus on meaningful news, so, with great hope in my heart, I waited as you generated a custom list of news items relevant to me and my interests.
What would you find for me? Exciting new developments in science, subtle analyses of the health care debate, new movies I might enjoy, book reviews…
Erm.
Now, I would like to apologize for providing any search terms that confused you into thinking that I care about news items involving Octomoms, Jon Gosselin’s ‘bachelor romp’, or Project Runway. I am pretty sure I have never searched for any of these terms before, or their components, so perhaps you weight popular news items too heavily, or you need some time to get to know me better. After all, it took a while for TiVo to correct it’s gaydar, so maybe you need time to see that I am not a B-list celebrity gossip-maven.*
In any case, please stop bringing these, or similar items to my attention. If I wanted this sort of crap, I would just visit TMZ .
Thank You,
John
* I recognize that there are interesting results in revealed preference and neuro-economics that show that people sometimes do not admit to, or even appear consciously aware of, their behavioral preferences. Despite this, I can only hope these results are due to your poor performance, rather than some penetrating look into some unknown abyss of my soul.
These are my links for June 19th through June 21st:
- Electronic Frontier Foundation | Defending Freedom in the Digital World – From the Internet to the iPod, technologies are transforming our society and empowering us as speakers, citizens, creators, and consumers. When our freedoms in the networked world come under attack, the Electronic Frontier Foundation (EFF) is the first line of defense. EFF broke new ground when it was founded in 1990 — well before the Internet was on most people's radar — and continues to confront cutting-edge issues defending free speech, privacy, innovation, and consumer rights today. From the beginning, EFF has championed the public interest in every critical battle affecting digital rights.
- Public Library of Science – The Public Library of Science (PLoS) is a nonprofit organization of scientists and physicians committed to making the world's scientific and medical literature a public resource.
- The R Project for Statistical Computing – R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity.
- Google Scholar – Google Scholar provides a simple way to broadly search for scholarly literature. From one place, you can search across many disciplines and sources: peer-reviewed papers, theses, books, abstracts and articles, from academic publishers, professional societies, preprint repositories, universities and other scholarly organizations. Google Scholar helps you identify the most relevant research across the world of scholarly research.
- Google Trends – With Google Trends, you can compare the world’s interest in your favorite topics. Enter up to five topics and see how often they’ve been searched on Google over time. Google Trends also shows how frequently your topics have appeared in Google News stories, and in which geographic regions people have searched for them most.
- Google Insights for Search – With Google Insights for Search, you can compare search volume patterns across specific regions, categories, time frames and properties
- Google Squared – Google Squared takes a category and creates a starter 'square' of information, automatically fetching and organizing facts from across the web.
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