**clehene : statistics**
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• Statista - The Statistics Portal for Market Data, Market Research and Market Studies

research
statistics
datasets
reference

5 weeks ago by clehene

Find statistics, consumer survey results and industry studies

from over 22,500 sources on over 60,000 topics on the internet's

leading statistics database

5 weeks ago by clehene

stripe/rainier: Bayesian inference in Scala.

bayesian
scala
statistics
bayesian-inference
jvm
markov

7 weeks ago by clehene

Bayesian inference in Scala. Contribute to stripe/rainier development by creating an account on GitHub.

7 weeks ago by clehene

Prophet | Prophet is a forecasting procedure implemented in R and Python. It is fast and provides completely automated forecasts that can be tuned by hand by data scientists and analysts.

analytics
forecasting
python
facebook
seasonality
statistics

11 weeks ago by clehene

Prophet is a forecasting procedure implemented in R and Python. It is fast and provides completely automated forecasts that can be tuned by hand by data scientists and analysts.

11 weeks ago by clehene

CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers: aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All

probabilistic-programming
bayesian
statistics
python
probability
bayes
book

12 weeks ago by clehene

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;) - CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

12 weeks ago by clehene

The Central Limit Theorem and its misuse

statistics
clt

december 2019 by clehene

The central limit theorem is possibly the most famous theorem in all of statistics, being widely used in any field that wants to infer something or make predictions from gathered data. A first (simple) version of it was introduced in the eighteenth century, first by de Moivre and then later in a more refined way by Laplace, but it wasn't until around 1935 that the theorem as we know it today was published. The goal of these notes is to explain in broad terms what it says and, more im...

december 2019 by clehene

Studies of scientific bias targeting the right problems | News Center | Stanford Medicine

bias
reasearch
metastudy
statistics

march 2019 by clehene

The biggest single source of bias across all fields of science comes from so-called small-study effects, Stanford researchers report.

march 2019 by clehene

eclesh/welford: welford implements a one-pass algorithm for computing mean and variance

welford
statistics
variance

january 2019 by clehene

welford implements a one-pass algorithm for computing mean and variance - eclesh/welford

january 2019 by clehene

Accurately computing sample variance online

running
variance
statistics
algorithms

january 2019 by clehene

How to compute sample variance (standard deviation) as samples arrive sequentially, avoiding numerical problems that could degrade accuracy.

january 2019 by clehene

Actuarial Outpost

actuarial
risk
insurance
statistics

april 2018 by clehene

Actuarial discussion forum and jobs, home of the Actuarial Outpost

april 2018 by clehene

axiomhq/hyperminhash: HyperMinHash: Bringing intersections to HyperLogLog

sketches
statistics
data-structures
computer-science
hyperloglog
hyperminsketch

january 2018 by clehene

hyperminhash - HyperMinHash: Bringing intersections to HyperLogLog

january 2018 by clehene

Using T-tests to benchmark page load performance – GoToAssist Product Blog – Medium

statistics
performance

january 2018 by clehene

Loading dashboard page of GotoAssist Service desk. - Gist is a simple way to share snippets of text and code with others.

january 2018 by clehene

Probabilistic programming: an annotated bibliography

probability
statistics

october 2017 by clehene

Earlier this year we launched a research report on probabilistic programming, an emerging programming paradigm that makes it easier to describe and train pro...

october 2017 by clehene

Data Analysis for… by Rafael A Irizarry et al. [PDF/iPad/Kindle]

data-science
statistics
book

august 2017 by clehene

Data analysis is now part of practically every research project in the life sciences. In this book we use data and computer code to teach the necessary statistical concepts and programming skills to become a data analyst. Instead of showing theory first and then applying it to toy examples, we start with actual applications and describe the theo...

august 2017 by clehene

cavaunpeu/statistical-rethinking: Solutions for the practice problems

statistics
bayesian

july 2017 by clehene

statistical-rethinking - Solutions for the practice problems

july 2017 by clehene

Why isn't everything normally distributed?

statistics
distribution

july 2017 by clehene

Heights are normally distributed because height is determined by many factors. But why are other things with many inputs not normally distributed?

july 2017 by clehene

Top 20 Facebook Statistics - Updated May 2017

facebook
statistics

june 2017 by clehene

Facebook represents a huge potential market for your social media efforts, but it is becoming increasingly difficult to stand out from the crowd. The following statistics highlight some relevant Facebook facts and can ultimately help you to navigate it better, increasing your return on investment (ROI) and leading to greater marketing success.

june 2017 by clehene

tdunning/t-digest: A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means

algorithm
statistics
aggregation
streaming
algorithms
analytics

june 2017 by clehene

t-digest - A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means

june 2017 by clehene

Four characterizations of the normal distribution

statistics
normal
distribution

june 2017 by clehene

Four different properties of the normal (Gaussian) probability distribution that uniquely define it.

june 2017 by clehene

Why we should love null results – The 100% CI

statistics
nhst
methodology

june 2017 by clehene

But what happens when p ≥ .05? P-hacking aside: When was the last time you read a paper saying “turns out we were wrong, p > .05″? NHST only tests H0. The p-value says nothing about the probability of Hshinynew being true

june 2017 by clehene

Paradoxes of probability and other statistical strangeness

statistics
fallacy
paradox
simson
berkson

april 2017 by clehene

Sometimes statistics and probability can produce unexpected or counter-intuitive results. If we're hoping to use numbers to make good decisions, we should be wary of the traps.

april 2017 by clehene

HdrHistogram

histograms
java
library
latency
metrics
statistics
performance

january 2017 by clehene

A High Dynamic Range Histogram

january 2017 by clehene

The Probability and Statistics Cookbook

probability
statistics
cheatsheet

november 2016 by clehene

A succinct reference in probability theory and statistics

november 2016 by clehene

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