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A nice chart of univariate distribution relationships. November 11, 2016. Continue reading →. Big Data for Volatility vs.Trend. November 10, 2016. So different aspects of Big Data — in this case dense vs. tall — are of different value for different things. Dense data promote accurate volatility estimation, and tall data promote accurate trend estimation. More (No Hesitations blog). The limitations of randomised controlled trials. November 9, 2016. November 8, 2016. Be a set and. Be an algebra on. Is said...

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A nice chart of univariate distribution relationships. November 11, 2016. Continue reading →. Big Data for Volatility vs.Trend. November 10, 2016. So different aspects of Big Data — in this case dense vs. tall — are of different value for different things. Dense data promote accurate volatility estimation, and tall data promote accurate trend estimation. More (No Hesitations blog). The limitations of randomised controlled trials. November 9, 2016. November 8, 2016. Be a set and. Be an algebra on. Is said...
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econostatistician | econostatistician.wordpress.com Reviews

https://econostatistician.wordpress.com

A nice chart of univariate distribution relationships. November 11, 2016. Continue reading →. Big Data for Volatility vs.Trend. November 10, 2016. So different aspects of Big Data — in this case dense vs. tall — are of different value for different things. Dense data promote accurate volatility estimation, and tall data promote accurate trend estimation. More (No Hesitations blog). The limitations of randomised controlled trials. November 9, 2016. November 8, 2016. Be a set and. Be an algebra on. Is said...

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David Aldous’ review of the Black Swan | econostatistician

https://econostatistician.wordpress.com/2016/05/05/david-aldous-review-of-the-black-swan

Very brief notes on measures: From σ-fields to Carathéodory’s Theorem →. David Aldous’ review of the Black Swan. May 5, 2016. This entry was posted in Uncategorized. Very brief notes on measures: From σ-fields to Carathéodory’s Theorem →. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out.

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A nice chart of univariate distribution relationships | econostatistician

https://econostatistician.wordpress.com/2016/11/11/a-nice-chart-of-univariate-distribution-relationships

Big Data for Volatility vs.Trend. Expectation: Useful properties and inequalities →. A nice chart of univariate distribution relationships. November 11, 2016. 8212;——————————————–. Lawrence M Leemis and Jacquelyn T McQueston. The American Statistician. Feb 2008, Vol. 62, No. 1: 45-53. This entry was posted in Probability. Big Data for Volatility vs.Trend. Expectation: Useful properties and inequalities →. Leave a Reply Cancel reply. Enter your comment here. Address never made public). Create a free websi...

3

Rio’s Inequality | econostatistician

https://econostatistician.wordpress.com/2016/05/05/rios-inequality

Kolmogorov’s Maximal Inequality. David Aldous’ review of the Black Swan →. May 5, 2016. Be two integrable real-valued random variables and let. Be the quantile function of. Is the a-mixing coefficient. Be a r.v. with uniform distribution over. Be a bivariate r.v. defined as. DBosq (1996). Nonparametric Statistics for Stochastic Processes. Springer. Annales de l’institut Henri Poincaré (B) Probabilités. This entry was posted in Inequalities. Kolmogorov’s Maximal Inequality. Leave a Reply Cancel reply.

4

econostatistician | Page 2

https://econostatistician.wordpress.com/page/2

Newer posts →. David Aldous’ review of the Black Swan. May 5, 2016. Continue reading →. May 5, 2016. Be two integrable real-valued random variables and let. Be the quantile function of. Is the a-mixing coefficient. Continue reading →. Kolmogorov’s Maximal Inequality. May 3, 2016. Be independent random variables with. Continue reading →. An inequality of the expectation. May 3, 2016. Be iid. r.vs with. Continue reading →. LAN for Linear Processes. January 4, 2016. Consider a m-vector linear process. 8211;...

5

Very brief notes on measures: From σ-fields to Carathéodory’s Theorem | econostatistician

https://econostatistician.wordpress.com/2016/11/08/very-brief-notes-on-measures-from-σ-fields-to-caratheodorys-theorem

David Aldous’ review of the Black Swan. The limitations of randomised controlled trials →. Very brief notes on measures: From σ-fields to Carathéodory’s Theorem. November 8, 2016. Is a non-empty collection of subsets of the sample space. Closed under the formation of complements and countable unions (or equivalently of countable intesections – note. Definition 2. Set functions and measures. Be a set and. Be an algebra on. Be a non-negative set function. Is called countably additive. Is called a measure.

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I actually think this infographic is ok - Statistical Modeling, Causal Inference, and Social Science

http://andrewgelman.com/2015/05/15/actually-think-infographic-ok

Statistical Modeling, Causal Inference, and Social Science. Laquo; The connection between varying treatment effects and the well-known optimism of published research findings. Apology to George A. Romero. I actually think this infographic is ok. On 15 May 2015, 9:33 am. Under the heading, “bad charts,” Mark Duckenfield links to this display. By Quoctrung Bui and writes:. And I’m not entirely sure that the median salary, which looks to conveniently be $40K is correct. Household income is more li...May 15,...

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Economics Archives - Statistical Modeling, Causal Inference, and Social Science

http://andrewgelman.com/category/economics

Statistical Modeling, Causal Inference, and Social Science. Archive of posts filed under the Economics. Laquo; Older Entries. Calorie labeling reduces obesity. Obesity increased more slowly in California, Seattle, Portland (Oregon), and NYC, compared to some other places in the west coast and northeast that didn’t have calorie labeling. On 16 August 2016, 9:07 am. Filed under Causal Inference. Guy Fieri wants your help! For a TV show on statistical models for real estate. On 4 August 2016, 9:06 am. It’s ...

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Stand Your Ground laws and homicides - Statistical Modeling, Causal Inference, and Social Science

http://andrewgelman.com/2012/06/stand-your-ground-laws-and-homicides

Statistical Modeling, Causal Inference, and Social Science. Every time you take a sample, you’ll have to pay this guy a quarter. Stand Your Ground laws and homicides. On 27 June 2012, 11:12 pm. Jeff points me to a paper. By Chandler McClellan and Erdal Tekin which begins as follows:. Raise serious doubts against the argument that Stand Your Ground laws make America safer. I think one would want to understand these wavy ups and downs in the curves before making any definitive pronouncements. Http:/ www&#4...

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Authors - Statistical Modeling, Causal Inference, and Social Science

http://andrewgelman.com/authors

Statistical Modeling, Causal Inference, and Social Science. Andrew Gelman’s website. Bob Carpenter’s website. Aleks Jakulin’s website. Phil Price’s website. Michael Betancourt’s website. Aki Vehtari’s website. On Things that sound good but aren’t quite right: Art and research edition. On Things that sound good but aren’t quite right: Art and research edition. On How schools that obsess about standardized tests ruin them as measures of success. On How schools that obsess about standardized tests ruin them...

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Andrew, Author at Statistical Modeling, Causal Inference, and Social Science

http://andrewgelman.com/author/andrew

Statistical Modeling, Causal Inference, and Social Science. Archive of entries posted by. Laquo; Older Entries. Things that sound good but aren’t quite right: Art and research edition. On 19 August 2016, 9:14 am. There are a lot of things you can say that sound very sensible but, upon reflection, are missing something. For example consider this blog comment from Chris G: Years ago I heard someone suggest these three questions for assessing a work of art: 1. What was the artist attempting to do? When I as...

andrewgelman.com andrewgelman.com

Are you ready to go fishing in the data lake? - Statistical Modeling, Causal Inference, and Social Science

http://andrewgelman.com/2015/05/16/are-you-ready-to-go-fishing-in-the-data-lake

Statistical Modeling, Causal Inference, and Social Science. Laquo; Apology to George A. Romero. 8220;Do we have any recommendations for priors for student t’s degrees of freedom parameter? Are you ready to go fishing in the data lake? Posted by Aki Vehtari. On 16 May 2015, 3:41 pm. While Andrew is trying to get someone to make a t-shirt design “Gone fishing”. Filed under Miscellaneous Statistics. May 16, 2015 at 3:46 pm. Does Exploratory Fishing smell fishy? Reply to this comment. May 16, 2015 at 5:14 pm.

andrewgelman.com andrewgelman.com

Artist needed! - Statistical Modeling, Causal Inference, and Social Science

http://andrewgelman.com/2015/01/13/artist-needed

Statistical Modeling, Causal Inference, and Social Science. Laquo; What’s misleading about the phrase, “Statistical significance is not the same as practical significance”. Some art so far. On 13 January 2015, 9:08 am. We have some great ideas but none of us can draw. We need your help with designs and art for any or all of these projects:. 1 “Gone Fishing” T-shirt. 8211; Teach the Controversy (as in here. 8211; Or we could play it straight and give it the title, We Can Do Better Than This. Could work in...

andrewgelman.com andrewgelman.com

Uncategorized Archives - Statistical Modeling, Causal Inference, and Social Science

http://andrewgelman.com/category/uncategorized

Statistical Modeling, Causal Inference, and Social Science. Sorry, no posts matched your criteria. On Things that sound good but aren’t quite right: Art and research edition. On Things that sound good but aren’t quite right: Art and research edition. On How schools that obsess about standardized tests ruin them as measures of success. On How schools that obsess about standardized tests ruin them as measures of success. On The history of characterizing groups of people by their averages. On How schools th...

andrewgelman.com andrewgelman.com

Miscellaneous Science Archives - Statistical Modeling, Causal Inference, and Social Science

http://andrewgelman.com/category/miscellaneous-science

Statistical Modeling, Causal Inference, and Social Science. Archive of posts filed under the Miscellaneous Science. Laquo; Older Entries. Things that sound good but aren’t quite right: Art and research edition. On 19 August 2016, 9:14 am. 2 Were they successful? An ethnographic study of the “open evidential culture” of research psychology. On 18 August 2016, 9:59 am. Filed under Miscellaneous Science. Will youths who swill Red Bull become adult cocaine addicts? On 12 August 2016, 9:57 am. The above is th...

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All the Assumptions That Are My Life - Statistical Modeling, Causal Inference, and Social Science

http://andrewgelman.com/2014/06/04/assumptions-life

Statistical Modeling, Causal Inference, and Social Science. Laquo; Did you buy laundry detergent on their most recent trip to the store? Also comments on scientific publication and yet another suggestion to do a study that allows within-person comparisons. Identifying pathways for managing multiple disturbances to limit plant invasions. All the Assumptions That Are My Life. On 4 June 2014, 9:40 am. Statisticians take tours in other people’s data. Textbook statistical theory is like the physics in an intr...

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A nice chart of univariate distribution relationships. November 11, 2016. Continue reading →. Big Data for Volatility vs.Trend. November 10, 2016. So different aspects of Big Data — in this case dense vs. tall — are of different value for different things. Dense data promote accurate volatility estimation, and tall data promote accurate trend estimation. More (No Hesitations blog). The limitations of randomised controlled trials. November 9, 2016. November 8, 2016. Be a set and. Be an algebra on. Is said...

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