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Peter Donnelly: How juries are fooled by statistics | TED Talk
Oxford mathematician Peter Donnelly reveals the common mistakes humans make in interpreting statistics -- and the devastating impact these errors can have on the outcome of criminal trials.
statistics  video 
yesterday by lena
Interview with Osvaldo Martin about Bayesian Analysis with Python
Like our previous interviewee Osvaldo Martin is one of the developers of PyMC3 and ArviZ. He is a researcher specialized in Bayesian statistics and data science. He will be speaking at our BuzzConf…
bayes  statistics  python 
4 days ago by lena
Probability, Statistics and Random Processes | Free Textbook | Course
This probability and statistics textbook covers:

Basic concepts such as random experiments, probability axioms, conditional probability, and counting methods
Single and multiple random variables (discrete, continuous, and mixed), as well as moment-generating functions, characteristic functions, random vectors, and inequalities
Limit theorems and convergence
Introduction to mathematical statistics, in particular, Bayesian and classical statistics
Random processes including processing of random signals, Poisson processes, discrete-time and continuous-time Markov chains, and Brownian motion
Simulation using MATLAB and R
books  probability  statistics  math 
11 days ago by lena
sklearn_tutorial/04.1-Dimensionality-PCA.ipynb at master · jakevdp/sklearn_tutorial · GitHub
The dimensionality reduction might seem a bit abstract in two dimensions, but the projection and dimensionality reduction can be extremely useful when visualizing high-dimensional data. Let's take a quick look at the application of PCA to the digits data we looked at before:
pca  statistics  ml 
11 days ago by lena
How to read PCA plots — What do you mean "heterogeneity"?
To try to be concrete, we will consider 100 "genes", and throughout we will generate 600 "cells" from two "cell types". Different ways of generating these cell types will lead to different patterns in the PCA plot.
ml  visualization  pca  statistics 
11 days ago by lena
Understanding Principal Component Analysis – Rishav Kumar – Medium
Concise explanation about math/linear algebra behind PCA with eigenvalue decomposition
math  statistics  pca 
11 days ago by lena
xkcd: Modified Bayes' Theorem
P(C): probability that you're using bayesian statistics correctly
statistics  bayes 
12 days ago by lena
Common Data Mistakes to Avoid | Geckoboard
Statistical fallacies are common tricks data can play on you, which lead to mistakes in data interpretation and analysis. Explore some common fallacies, with...
data  statistics  fallacy 
12 days ago by lena
Announcing the release of my e-book: Introduction to Empirical Bayes – Variance Explained
I’m excited to announce the release of my new e-book: Introduction to Empirical Bayes: Examples from Baseball Statistics, available here.
bayes  statistics  books 
13 days ago by lena
JASP - A Fresh Way to Do Statistics
JASP is an open-source statistics program that is free, friendly, and flexible. Armed with an easy-to-use GUI, JASP allows both classical and Bayesian analyses.
software  statistics  tools  free 
5 weeks ago by lena
120 jaar CBS: geschiedenis in bijzondere verhalen
Het Centraal Bureau voor de Statistiek (CBS) bestaat 120 jaar en over die tijd zijn veel bijzondere verhalen te vertellen
statistics  history 
5 weeks ago by lena
Bayesian Statistics the Fun Way | No Starch Press
This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.

By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you’ll learn real skills, like how to:

How to measure your own level of uncertainty in a conclusion or belief
Calculate Bayes theorem and understand what it’s useful for
Find the posterior, likelihood, and prior to check the accuracy of your conclusions
Calculate distributions to see the range of your data
Compare hypotheses and draw reliable conclusions from them
books  bayes  statistics 
6 weeks ago by lena
A Bayesian view of Amazon Resellers | beta-binomial model
After observing 2 positive reviews, our posterior estimate on θB has a beta(3, 1) distribution. The probability that a sample from θA is bigger than a sample from θB is 0.713. That is, there’s a good chance you’d get better service from the reseller with the lower average approval rating.
bayes  probability  statistics 
6 weeks ago by lena
Statistical Rethinking – Richard McElreath
Bayes. Python and R code.

"This is a rare and valuable book that combines readable explanations, computer code, and active learning."
—Andrew Gelman, Columbia University
bayes  books  python  r  statistics 
6 weeks ago by lena
Understanding the beta distribution (using baseball statistics) – Variance Explained
Thus, the beta distribution is best for representing a probabilistic distribution of probabilities- the case where we don’t know what a probability is in advance, but we have some reasonable guesses.
bayes  statistics 
6 weeks ago by lena
Introduction — PyFlux 0.4.7 documentation
PyFlux is a library for time series analysis and prediction. Users can choose from a flexible range of modelling and inference options, and use the output for forecasting and retrospection. Users can build a full probabilistic model where the data y and latent variables (parameters) z are treated as random variables through a joint probability p(y,z). The advantage of a probabilistic approach is that it gives a more complete picture of uncertainty, which is important for time series tasks such as forecasting. Alternatively, for speed, users can simply use Maximum Likelihood estimation for speed within the same unified API.
python  statistics  timeseries  tools 
6 weeks ago by lena
Seeing Theory
A visual introduction to probability and statistics.
probability  statistics  visualization 
7 weeks ago by lena
Random: Probability, Mathematical Statistics, Stochastic Processes
Random is a website devoted to probability, mathematical statistics, and stochastic processes, and is intended for teachers and students of these subjects. The site consists of an integrated set of components that includes expository text, interactive web apps, data sets, biographical sketches, and an object library.
probability  statistics  visualization 
7 weeks ago by lena
Nature Collections: Visual Strategies for Biological Data - Scientific American
Scientific American is the essential guide to the most awe-inspiring advances in science and technology, explaining how they change our understanding of the world and shape our lives.
visualization  data  statistics  books 
7 weeks ago by lena
International Nonresponse Trends across Countries and Years: An analysis of 36 years of Labour Force Survey data | Survey Methods: Insights from the Field (SMIF)
Household survey nonresponse is a matter of concern in many countries. In one of the first international trend analyses, de Leeuw and de Heer (2002) found that response rates declined over the years, and that countries differed in response rates and nonresponse trends. Their analyses cover longitudinal data on the Labour Force Survey from National Statistical Institutes for the period 1980 to 1997. We added a new data set, covering the period 1998 -2015, and analysed nonresponse data over time and countries. In these analyses we differentiated between voluntary and mandatory surveys. The trends visible in de Leeuw and de Heer (2002) continue with possibly a small deceleration in refusal rates.
survey  statistics 
8 weeks ago by lena
Sociale wetenschap profiteert van dataplatform ODISSEI
Sociale wetenschappers krijgen via ODISSEI toegang tot grootschalige en longitudinale dataverzamelingen die gekoppeld zijn aan CBS-registraties
statistics  nl 
11 weeks ago by lena
Epipy
Epipy is a Python package for epidemiology. It contains tools for analyzing and visualizing epidemiology data.
python  health  statistics  tools  visualization 
11 weeks ago by lena
Nieuwe methoden en bronnen voor big data onderzoek
het samenbrengen van onderzoekers van statistiekbureaus en wetenschappers uit de academische wereld om de nieuwste methoden en technieken voor big data onderzoek te presenteren en kennis hierover uit te wisselen
statistics  nl  datascience 
12 weeks ago by lena
39. Hoe kun je met statistiek levens redden?
Met woord 'statistiek' maak je een gemiddelde verjaardag nou niet echt gezelliger. Gehannes met cijfers en medianen; een feestje is het niet. Dat is het WEL voor Daniël Oberski van Universiteit Utrecht. Hij nam zijn grenzeloze enthousiasme voor statistiek mee naar onze podcastbooth op het Betweter Festival en vertelt je in dit college hoe je met statistiek levens kunt redden. Dit is een samenwerking met NPO Focus.
statistics  nl  podcast  tolisten 
november 2018 by lena
Microsoft Word - JOBS.doc - jobsweb.pdf
JOBS - Journal of Obnoxious Statistics
statistics  fun 
october 2018 by lena
A line-by-line layman’s guide to Linear Regression using TensorFlow
Linear regression is a great start to the journey of machine learning, given that it is a pretty straightforward problem and can be solved by popular modules such as the scikit-learn package. In this…
regression  statistics  python  machinelearning  tensorflow 
october 2018 by lena
GitHub - pydata/patsy: Describing statistical models in Python using symbolic formulas
Patsy is a Python library for describing statistical models (especially linear models, or models that have a linear component) and building design matrices. Patsy brings the convenience of R "formulas" to Python.
python  r  statistics 
october 2018 by lena
The hacker's guide to uncertainty estimates · Erik Bernhardsson
I made a New Year’s resolution: every plot I make during 2018 will contain uncertainty estimates. Nine months in and I have learned a lot, so I put together a summary of some of the most useful methods.
python  statistics  plots 
october 2018 by lena
Should people stop using the WMW rank-sum test? - journal club - Datamethods Discussion Forum
The author of this paper “t-tests, non-parametric tests, and large studies—a paradox of statistical practice?” puts it better than I can paraphrase:
“Non-parametric tests are most useful for small studies. Using non-par…
statistics  toread 
october 2018 by lena
Statistics Help @ Talk Stats Forum
Free statistics help forum. Discuss statistical research, data analysis, statistics homework questions, R, SAS, Stata, SPSS, and more.
statistics  forum 
october 2018 by lena
Elements of Statistical Learning: data mining, inference, and prediction. 2nd Edition.
This books comes highly recommended by different people so I should read it.
books  statistics 
october 2018 by lena
Statistical Thinking
Blog by Frank Harrell, Professor of Biostatistics
blogs  statistics 
october 2018 by lena
Recente cijfers
Een overzicht van de meest recente wijzigingen in StatLine, de online databank van het CBS.
statistics  nl 
october 2018 by lena
Professor Leonard - YouTube
This Channel is dedicated to quality mathematics education. It is absolutely FREE so Enjoy! Videos are organized in playlists and are course specific.

Full length course videos. Calculus/Statistics/Algebra/Differential Equations
math  education  towatch  differentialequations  calculus  statistics 
september 2018 by lena
Probability Primer - YouTube
A series of videos giving an introduction to some of the basic definitions, notation, and concepts one would encounter in a 1st year graduate probability course.

Videos less than 15 minutes each.
probability  math  statistics  video  elearning  towatch 
september 2018 by lena
Dashboard Gelijke Kansen | Onderwijsmonitor | OCW in cijfers
Dit is het dashboard gelijke kansen in het onderwijs. Dit dashboard monitort voor verschillende groepen leerlingen en studenten de overgangen in de gehele onderwijsloopbaan en geeft inzicht in de ontwikkeling van gelijke kansen in het onderwijs.
education  nl  statistics 
september 2018 by lena
CRAN - Package reclin
Functions to assist in performing probabilistic record linkage and deduplication: generating pairs, comparing records, em-algorithm for estimating m- and u-probabilities, forcing one-to-one matching. Can also be used for pre- and post-processing for machine learning methods for record linkage.
r  statistics  survey 
september 2018 by lena
Explained Visually
Explained Visually (EV) is an experiment in making hard ideas intuitive inspired the work of Bret Victor's Explorable Explanations.

Regression, PCA, Eigenvalues, Pi, Sine/Cosine, Markov chains, Probability
math  programming  statistics  probability  visualization  pca  matrix  markov 
august 2018 by lena
Harper's Index | Harper's Magazine
many fun or interesting simple statistics that are usually contrasted with some other statistic. paywalled.
statistics  media 
august 2018 by lena
SNStatComp/awesome-official-statistics-software: An awesome list of statistical software packages useful for creating and accessing official statistics.
An item on this list is awesome because

it is free, open source, and available for download;
it is confirmed to be used in the production of official statistics by at least one institute, or
it provides access to official statistics publications.

We prefer packages that are reasonably easy to install and use, that have at least one stable version, and that are actively maintained.
statistics  resources 
july 2018 by lena
Home
The European Statistical System (ESS) website is your single entry point to relevant information on the organization and activities of the ESS, both as a whole and for its individual partners.

The ESS website welcome page offers the latest news concerning life in the ESS partners. In addition, the news feeds' page provides news in RSS format, such as press releases, also from all ESS partners.
statistics  europe 
july 2018 by lena
Data opschonen met statistiek-software R
Statistical Data Cleaning with applications in R
books  statistics  r  survey 
july 2018 by lena
Data Design: Visualising Quantities, Locations, Connections: Per Mollerup: 9781408191873: Amazon.com: Books
Data Design: Visualising quantities, locations, connections is a lively and comprehensive introduction to data visualisation, illustrated with 199 instructive data displays. The book is for designers, journalists, editors, writers and anyone concerned with presenting factual information in a clear and effective way.
data  visualization  statistics  books  graphs  charts  plots 
july 2018 by lena
Methods of Comparison, Compared / Observable
Methods of Comparison, Compared
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Log ratios are often used when considering growth, as with investment returns. For example, if a stock doubles and then halves, you’re back where you started: log⁡(21) log⁡(12)=0\log(\tfrac{2}{1}) \log(\tfrac{1}{2}) = 0log(12​) log(21​)=0. On the other hand if a stock goes up by fifty percent then down by fifty percent, you’ve lost twenty-five percent of your investment: (1×0.5)−(1.5×0.5)=−0.25(1 \times 0.5) - (1.5 \times 0.5) = -0.25(1×0.5)−(1.5×0.5)=−0.25. This is why log scales are commonly used in stock price charts, such as this change line chart and index chart.
maps  statistics  visualization  comparison 
july 2018 by lena
Amazon.com: Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research) (9781107694163): Stephen L. Morgan, Christopher Winship: Books
Amazon.com: Counterfactuals and Causal Inference: Methods and Principles for Social Research (Analytical Methods for Social Research) (9781107694163): Stephen L. Morgan, Christopher Winship: Books
books  causality  statistics 
july 2018 by lena
If correlation doesn’t imply causation, then what does? | DDI
I often wonder how many people with real decision-making power – politicians, judges, and so on – are making decisions based on statistical studies, and yet they don’t understand even basic things like Simpson’s paradox.
causality  statistics  probability  research  science 
july 2018 by lena
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