A new animated population pyramid for Germany 1950–2050

April 28, 2015
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A new animated population pyramid for Germany 1950–2050

Today Destatis released a new projection of Germany’s population by 2060 accompanied by an all new animated population pyramid. It is …Continue reading →

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R in Insurance 2015 Conference Programme

April 28, 2015
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R in Insurance 2015 Conference Programme

The programme for the 3rd R in Insurance conference is on-line. The event will take place on 29 June 2015 at the University of Amsterdam. Time to register now. Special thanks to our sponsors, without whom the conference wouldn't be possible: CYBAEA, RS...

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R in Insurance 2015 Conference Programme

April 28, 2015
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R in Insurance 2015 Conference Programme

The programme for the 3rd R in Insurance conference is on-line. The event will take place on 29 June 2015 at the University of Amsterdam. Time to register now. Special thanks to our sponsors, without whom the conference wouldn't be possible: CYBAEA, RS...

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3 YEARS AGO (APRIL 2012): MEMORY LANE

April 28, 2015
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3 YEARS AGO (APRIL 2012): MEMORY LANE

MONTHLY MEMORY LANE: 3 years ago: March 2012. I mark in red three posts that seem most apt for general background on key issues in this blog* (Posts that are part of a “unit” or a group of “U-Phils” count as one.) This new feature, appearing the last week of each month, began at the blog’s 3-year anniversary in Sept, 2014. *excluding those recently reblogged. April […]

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I Fought the (distribution) Law (and the Law did not win)

April 27, 2015
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I Fought the (distribution) Law (and the Law did not win)

A few days ago, I was asked if we should spend a lot of time to choose the distribution we use, in GLMs, for (actuarial) ratemaking. On that topic, I usually claim that the family is not the most important parameter in the regression model. Consider the following dataset > db <- data.frame(x=c(1,2,3,4,5),y=c(1,2,4,2,6)) > plot(db,xlim=c(0,6),ylim=c(-1,8),pch=19) To visualize a regression model, use the following code > nd=data.frame(x=seq(0,6,by=.1)) > add_predict = function(reg){…

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Final days for early registration prices at Stats Camp (including Bayesian course)

April 27, 2015
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Final days for early registration prices at Stats Camp (including Bayesian course)

Early registration prices end this week for Doing Bayesian Data Analysis, June 1 - 5, 2015, a five-day course offered through Stats Camp convened in Dallas, Texas.The web page for the June 1-5 workshop is here.Other workshops are listed here. 

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Visual first – Visual.ONS

April 27, 2015
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Visual first – Visual.ONS

Visual representations of statistical data are attractive – and worth to build an own website with nothing but (info)graphs and …Continue reading →

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Eccentric mathematician

April 27, 2015
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I just read this charming article by Lee Wilkinson’s brother on a mathematician named Yitang Zhang. Zhang recently gained some fame after recently proving a difficult theorem, and he seems to be a quite unusual, but likable, guy. What I liked about Wilkinson’s article is how it captured Zhang’s eccentricities with affection but without condescension. […] The post Eccentric mathematician appeared first on Statistical Modeling, Causal Inference, and Social Science.

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On deck this week

April 27, 2015
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Mon: Eccentric mathematician Tues: What’s the most important thing in statistics that’s not in the textbooks? Wed: Carl Morris: Man Out of Time [reflections on empirical Bayes] Thurs: “The general problem I have with noninformatively-derived Bayesian probabilities is that they tend to be too strong.” Fri: Good, mediocre, and bad p-values Sat: Which of these […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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Parametric Inference: Likelihood Ratio Test by Example

April 27, 2015
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Parametric Inference: Likelihood Ratio Test by Example

Hypothesis testing have been extensively used on different discipline of science. And in this post, I will attempt on discussing the basic theory behind this, the Likelihood Ratio Test (LRT) defined below from Casella and Berger (2001), see reference 1...

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Create a cascade chart in SAS

April 27, 2015
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Create a cascade chart in SAS

Sometimes different communities use the same name for different objects. To a soldier, "boots" are rugged, heavy, high-top foot coverings. To a soccer (football) player, "boots" are lightweight cleats. So it is with the term "waterfall plot." To researchers in the medical field, a "waterfall plot" is a sorted bar […] The post Create a cascade chart in SAS appeared first on The DO Loop.

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Conference Report: CHI 2015

April 27, 2015
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Last week, I had the pleasure of attending the CHI 2015 conference in Seoul, South Korea. CHI technically stands for Computer-Human Interaction, but it has become a name rather than an acronym in recent years. And CHI’s scope is very broad, it covers many areas that are not strictly part of HCI (Human-Computer Interaction – … Continue reading Conference Report: CHI 2015

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This year’s Atlantic Causal Inference Conference: 20-21 May

April 26, 2015
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Dylan Small writes: The conference will take place May 20-21 (with a short course on May 19th) and the web site for the conference is here. The deadline for submitting a poster title for the poster session is this Friday. Junior researchers (graduate students, postdoctoral fellows, and assistant professors) whose poster demonstrates exceptional research will […] The post This year’s Atlantic Causal Inference Conference: 20-21 May appeared first on Statistical…

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Introductory Statistics for Data Science

April 26, 2015
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Introductory Statistics for Data Science

The latest issue of Chance contains a very timely article by Nicholas Horton, Benjamin Baumer, and Hadley Wickham. It's titled, "Setting the Stage for Data Science: Integration of Data Management Skills in Introductory and Second Courses in S...

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sklearn DecisionTree plot example needs pydotplus

April 26, 2015
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In Python, sklearn (scikit-learn)'s DecisionTree example uses pydot for plotting the generated tree: @here.But for Python 3, pydot has some issues with the string from dot_data.getvalue(), for example it will report "TypeError: startswith first arg mus...

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SPDEVPPI

April 25, 2015
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We've just arxived our paper on efficient computation for the Expected Value of Partial Perfect Information (EVPPI) based on SPDE-INLA. The EVPPI is a decision-theoretic measure of the impact of uncertainty in some of the parameters in a mode...

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Statistical analysis on a dataset that consists of a population

April 25, 2015
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This is an oldie but a goodie. Donna Towns writes: I am wondering if you could help me solve an ongoing debate? My colleagues and I are discussing (disagreeing) on the ability of a researcher to analyze information on a population. My colleagues are sure that a researcher is unable to perform statistical analysis on […] The post Statistical analysis on a dataset that consists of a population appeared first…

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SAS®: Getting Started with PROC IML

April 25, 2015
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Another powerful procedure of SAS, my favorite one, that I would like to share is the PROC IML (Interactive Matrix Language). This procedure treats all objects as a matrix, and is very useful for doing scientific computations involving vectors and matrices. To get started, we are going to demonstrate and discuss the following: Creating and Shaping Matrices;Matrix Query;Subscripts;Descriptive Statistics;Set Operations;Probability Functions and Subroutine;Linear Algebra;Reading and Creating Data;Above outline is based…

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Unemployment of Europe in 2014 by NUTS 2 region

April 25, 2015
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Unemployment of Europe in 2014 by NUTS 2 region

During the Christmas break I worked on some code to show unemployment by NUTS 2 region. At that point no 2014 data was available. When I noticed the 214 was available I dug up the code and plotted again.Data and CodeAs written, the code was made beginn...

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Random Data Sets Quickly

April 25, 2015
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Random Data Sets Quickly

This post will discuss a recent GitHub package I’m working on, wakefield to generate random data sets. The post is broken into the following sections: Demo 1.1 Random Variable Functions 1.2 Random Data Frames 1.3 Missing Values 1.4 Default Data … Continue reading →

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Random Data Sets Quickly

April 25, 2015
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Random Data Sets Quickly

This post will discuss a recent GitHub package I’m working on, wakefield to generate random data sets. The post is broken into the following sections: Demo 1.1 Random Variable Functions 1.2 Random Data Frames 1.3 Missing Values 1.4 Default Data … Continue reading →

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Bayesian comparison of groups using Python emcee

April 24, 2015
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Bayesian comparison of groups using Python emcee

Prof. Brain Blais has implemented the BEST model of two groups in emcee, a Python system for MCMC sampling. See his post about it here.

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“Statistical Concepts in Their Relation to Reality” by E.S. Pearson

April 24, 2015
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“Statistical Concepts in Their Relation to Reality” by E.S. Pearson

To complete the last post, here’s Pearson’s portion of the “triad”  “Statistical Concepts in Their Relation to Reality” by E.S. PEARSON (1955) SUMMARY: This paper contains a reply to some criticisms made by Sir Ronald Fisher in his recent article on “Scientific Methods and Scientific Induction”. Controversies in the field of mathematical statistics seem largely […]

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