lördag 19 augusti 2017

Big Geospatial Data helps modernize the Statistical Field

Big Geospatial Data helps modernize the Statistical Field:
Geospatial tools and information are going mainstream, as is evident following the recent opening of a new data science campus at the Office for National Statistics headquarters. Niall Conway explains how the fields of Statistics, Big Data and Geospatial are beginning to converge in order to deliver better insights to government.

måndag 14 augusti 2017


Alla är välkomna 1-2 september på en konferens i Göteborg. Program och detaljer om anmälan framgår av webb-sidan.

​- From Branching Processes to Clinical Trials
The title ties together Olle Nerman’s work in Mathematical Statistics during more than three decades. Mathematical Statistics is a wide branch of mathematical sciences including both probability and statistics and not the least many applications in various other scientific disciplines. The research of Olle Nerman is a perfect illustration of this. In particular, he has been instrumental in establishing and promoting biostatistics in its various forms stretching from general population models, with applications to cell kinetics, to clinical trials and bioinformatics. His early theoretical work, which led to a fundamental understanding of the structure of general branching processes, is increasingly referred to in new publications.

​Symposium web site: http://www.chalmers.se/sv/institutioner/math/forskning/konferenser-pa-MV/Sidor/Nerman-Symposium-2017.aspx

Plats: Euler, Skeppsgränd 3, Matematiska Vetenskaper, Chalmers och Göteborgs Universitet
Tid: 2017-09-01 12:30
Sluttid: 2017-09-02 13:00
Vänliga hälsningar, Peter Jagers

fredag 11 augusti 2017

Statistical Analysis with the Wolfram Language

Statistics Video Series: Wolfram U:
Analyze your data using a framework of model fitting and statistical analysis built into the Wolfram Language. Whether it is basic descriptive and exploratory statistics or advanced modeling with statistical distributions, you can follow this learning path to gain an understanding of the statistical functionality available in the Wolfram Language. Topics covered include descriptive measures, transformations, basic clustering, statistical distributions, parameter estimation and hypothesis testing. Advanced topics on using optimization functions, linear algebra functions, analysis of variance (ANOVA) and generalized logit and probit linear models will also be explored.


måndag 31 juli 2017

Jobs Rated Report 2017: Ranking 200 Jobs

Research from the Bureau of Labor Statistics’ American Time Use Survey indicates the majority of adults in the United States spend 8.8 hours a day on their careers, or on activities directly related. Over a 5-day week, that translates to 44 hours, and that totals more than one-quarter of our lives.

CareerCast.com’s Jobs Rated report aims to provide a general snapshot of 200 careers every year, using key criteria: Income, Growth Outlook, Work Environment and Stress. The results offer a glimpse into this fundamental aspect of day-to-day life.

The Jobs Rated report has tracked for almost 30 years, and in that time, the labor market’s changed dramatically.

Some of the careers ranking among the Top 10 best jobs of 2017 illustrate these changes. Careers in mathematics rank highly, with Statistician, Mathematician and Data Scientist all in the top 10 — but these jobs aren’t just about numbers in the current landscape. A career in one of these mathematical fields can translate into work in healthcare, business, marketing, even entertainment.

lördag 29 juli 2017

Canada to modernize statistics agency, look at new data collection

The Canadian government on Friday outlined its plans to modernize its main statistical agency, which include identifying new ways of collecting data and making it easier for people and businesses to find and use the information.

With information available more quickly and from a wider variety of sources than ever before, "Statistics Canada must innovate to remain responsive to the needs of Canadians", Innovation Minister Navdeep Bains said in a speech to a business group in Toronto, his first remarks on how Canada wants to become a leader in an increasingly data-driven world.

Read more....

fredag 28 juli 2017

Defining the Data Science Landscape

In general, a data scientist needs to know more about statistics than an average programmer, more programming than an average statistician, and be able to apply both skills to solve business problems.


onsdag 26 juli 2017

Educators | This is Statistics

Educators | This is Statistics:
As an expert in statistics, you understand the value of an education in statistical science. Fortunately, more students are beginning to see the value, too. The number of students earning bachelor’s degrees in statistical science nearly doubled between 2009 and 2013, according to the National Center for Education Statistics. That’s great news, but it’s still not enough to fill the many jobs that require expertise in statistics.

A report by McKinsey Global Institute predicts the U.S. will need up to 190,000 new professionals with analytical skills to help manage the Big Data movement and run data analytics and business intelligence operations in the private and public sectors. And it’s not just big data that’s driving it—it’s many types of statistics jobs in all areas of the economy.

lördag 22 juli 2017

Vem kan leda SCB in i framtiden?

En av Sveriges viktigaste generaldirektörstjänster är vakant: den för Statistiska Centralbyrån. I dagens kunskapssamhälle spelar statistiska fakta och analyser om ekonomi, politik och medborgarnas välfärd en central roll. SCB har sedan länge stått för en hög kvalitet i den statistik som produceras, men det finns trots det utrymme för ytterligare förbättring inom vissa områden. Ett sådant är infrastrukturen gällande forskningsdata och analys, alltså både data till externa forskare och SCBs egen analytiska kapacitet. SCBs nya gd bör vara en person som besitter både kompetens och förståelse för SCBs olika roller i den moderna kunskapsnationen Sverige.

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Building capability and community through the Government Data Science Partnership

Building capability and community through the Government Data Science Partnership | Government Digital Service:
Across government, departments are beginning to realise not only the value of the data they hold, but also how they can use data science to make more effective, data-informed decisions.

The Government Data Science Partnership is a collaboration between the Government Digital Service (GDS), Office for National Statistics (ONS) and the Government Office for Science. It was formed to help government realise the potential of data science. And to support the development of skills and tools to kickstart greater take-up across departments and agencies.

fredag 21 juli 2017

Beginner's guide to build data visualisations on the web with D3.js

From Beginner's guide to build data visualisations on the web with D3.js:
I am sure you have heard this many times. A picture is worth a thousand words. I think with the proliferation of data, this statement can easily be modified to A picture is worth thousand(s) of data points. If you are not convinced, look at the example below.

Storytelling through Data Visualisation

Let’s look at the following statement:
“In 2013, Gun Deaths Claimed 11,419 lives in the U.S.”
What comes to your mind first?
In 2013, US saw a lot of gun violence
Gun violence is high in the US
Deaths due to Gun violence were 11,419 (in 2013)

Without visualisation the above are just a set of statistics. Though this stat is useful, it still falls short in conveying the bigger picture. You don’t get the complete context – What kind of people were involved? How much was the nation’s loss? etc.

Let’s see what happens when we visualise it:


söndag 16 juli 2017

Vem tar vem? Ömsesidiga sympatier hos partiernas sympatisörer

Vem tar vem? Ömsesidiga sympatier hos partiernas sympatisörer:
Figuren är hämtad från SOM-institutets årliga seminarium som hölls den 24 april, och där gjordes en särskild analys av Sverigedemokraternas plats i ett föränderligt svenskt partisystem (du kan se en inspelning av seminariet här). Sverigedemokraterna är därför utmärkta med orangea punkter i figuren. Resultaten illustrerar tydligt att SD gör skäl för namnet pariaparti. SD är ett starkt ogillat parti bland alla grupper av partisympatisörer utom, förstås, de egna sympatisörerna. Endast bland Moderaternas sympatisörer finns partier som är avgjort ännu mer ogillade (FI och V) än Sverigedemokraterna.

Rupert Murdoch ‘could use Sky data trove for political ends’

Photograph: Josh Reynolds/AP
Business | The Guardian:
One of the “largest and most sophisticated datasets in the country” – including the TV viewing, internet and phone records of 13 million households – could be misused for political purposes if Rupert Murdoch is allowed to proceed with his plan to buy out Sky, six members of the House of Lords claim in a letter to the Observer.

Read more.....

torsdag 13 juli 2017

Statistics are lifeblood of democracy, and need to be protected

Quality of life depends on quality of statistics
Anthony Hilton | London Evening Standard:
People rarely think about this but the quality of daily life depends hugely on the quality of statistics.

How much do you pay for your flood insurance? How congested are the roads? How far does your child travel to school? How long do you wait for a hospital appointment? How polluted is the air? How large is your pension? The list goes on.

What governments decide is political; but the areas in which they intervene, the order on which they do things and the way a decision, once made, is implemented, relies on the available data.

onsdag 12 juli 2017

Relation between statistical machine learning and big data

Naveen Joshi | Pulse | LinkedIn:
ML and statistics

Often in fields, like pattern recognition, data mining, and knowledge discovery, we see both machine learning and statistics coming together. What brings them together is a common goal – learning from data; this means both of them focus on drawing insights or knowledge from data. However, both these methods are affected by their inherent cultural differences. While statistics is a subfield of mathematics, machine learning comes from computer science and artificial intelligence. Not to forget, machine learning is a comparatively new field, made possible by the availability of cheap computing power and availability of what we call as big data that helped data scientists to train computers to learn by analyzing data. On the contrary, statistics has existed long before computers were invented.

tisdag 11 juli 2017

Machine Learning Education: 3 Paths to Get Started

Machine learning is the predictive heart of big data analytics, and one of the key skills that separates data scientists from mere analysts. But getting started with machine learning can be a challenge. Here are a few ways beginners can get off the ground with their machine learning adventure.

Machine learning is a vast field with many different specialties, so it’s quite easy for a beginner to get overwhelmed. For instance, one specialty called deep learning powers many of today’s artificial intelligence breakthroughs. But without a background in basic machine learning approaches, a prospective data scientist would have zero chance of mastering this powerful but complex technology.

Here are three general paths that neophytes can get started with machine learning: Read more...

måndag 10 juli 2017

Machine learning, and the way ahead

From MillenniumPost:
At the very peak of the most recent 2016, Gartner Hype Cycle resides Machine Learning, which subsumes what used to be categorised as Big Data, Data Science, Artificial Intelligence, Data Mining, or Predictive Analytics. I would even include Statistics and Nonlinear Dynamics, two more traditional fields which continue to remain important, within the broad definition. While there may be slight technical differences, in common parlance they mean the same thing: the ability to use computers (i.e., "machines") and sophisticated mathematics to extract actionable predictive insights from data (i.e., "learn"). In our day and age, almost all mathematicians, statisticians, and physicists use computers, while all computer scientists who work with data usually learn the basics of traditional data science disciplines such as statistics and applied mathematics, nonlinear dynamics and network science in physics, signal processing in engineering, and econometrics in economics. Thus, any difference between the Machine Learning and what may have been once called traditional data sciences has been fast disappearing.

tisdag 4 juli 2017

Winner of the Significance young writer competition announced

Judging took place last month for our writing competition for early-career statisticians. It was the most competitive contest in years, with entrants from several African nations, Australia, Belgium, Brunei, Costa Rica, India, Mexico, New Zealand, the United Kingdom and the United States.

Today we are delighted to announce our finalists, and this year’s winner. This year’s finalist are (in alphabetical order):

Read more.....

måndag 3 juli 2017

How You Will Die

So far we’ve seen when you will die and how other people tend to die. Now let’s put the two together to see how and when you will die, given your sex, race, and age.

Read more.....

Sverige fortsätter växa

Statisticon Befolkningsprognoser:
– folkmängden i pendlingsnära kommuner ökar mest

Den 20 januari 2017 passerade Sveriges befolkning 10 miljoner invånare. Resan från 9 till 10 miljoner invånare tog 13 år. Enligt Statisticons befolkningsprognoser förväntas vi vara 11 miljoner invånare redan om åtta år.

Under 2016 ökade folkmängden i 271 av landets 290 kommuner, till stor del på grund av utrikes inflyttning där samtliga kommuner uppvisade positiva flyttnetton. På grund av åldersstrukturer med relativt många äldre, uppvisade hälften av kommunerna samtidigt negativa födelseöverskott.

fredag 30 juni 2017

Forskare: Människan kan bli äldre än man trott

SVT Nyheter:
Var går egentligen gränsen för hur gammal en människa maximalt kan bli? Om detta träter vetenskapen.
– Om ingenting ändrar sig är det väl troligt att vi under de nästa 25 åren ser en människa som lever i 119 år, säger Chalmersforskaren Holger Rootzén.

Läs mer....