In conversation with Sophie Achermann, co-founder of the platform www.StophateSpeech.ch.
In conversation with Sophie Achermann, co-founder of the platform www.StophateSpeech.ch.
In the past, Sanjay showed how to create several basic graphs using both R and SAS ODS Graphics code. I'm going to take a bit of a "deeper dive" and focus a series of blog posts on highly customized graphs. Hopefully the code for these customizations will provide you with
Economic, tech and regulatory trends are shifting asset liability management strategies.
Stu Bradley evaluates his 2020 predictions for fraud, AML compliance and security.
Im Talk mit Sophie Achermann, Co-Founderin der Plattform www.StophateSpeech.ch
The inverse gamma distribution is a continuous probability distribution that is used in Bayesian analysis and in some statistical models. The inverse gamma distribution is closely related to the gamma distribution. For any probability distribution, it is essential to know how to compute four functions: the PDF function, which returns
Safety, efficacy, speed and costs must all be prioritized and balanced in the delivery of life-changing therapies to patients. A drug that's quickly and cost-efficiently delivered to market, but isn’t effective and safe is unacceptable. An effective, safe drug that doesn’t get to patients in time to save lives has
Years ago, I wrote about how to compute the incomplete beta function in SAS. Recently, a SAS programmer asked about a similar function, called the incomplete gamma function. The incomplete gamma function is a "special function" that arises in applied math, physics, and statistics. You should not confuse the gamma
A note from Udo Sglavo: When people ask me what makes SAS unique in the area of analytics, I will mention the breadth of our analytic portfolio at some stage. In this blog series, we looked at several essential components of our analytical ecosystem already. It is about time to
It’s been a full eight years since HBR declared that data scientists hold the sexiest job of the 21st century. Yet, here we are in 2021, and the work of data scientists is still found outside the spotlight in many settings. Younger data scientists, in particular, can find it hard
We talked with Dalith Steiger-Gablinger, co-founder of AI Hub SwissCognitiv.
I recently had a discussion with a friend, and we were wondering about Apple's market share. This led me to look into the actual data ... finding the online charts lacking, and then designing my own charts. Follow along if you're curious about the process of improving the charts, or
I’ve dabbled in the energy meridian system for fifteen years. I’ve personally experienced acupuncture for much of those with great success. While I’ve learned about prana or qi/chi (energy) in yoga and have created class sequences to open those channels, it wasn’t until the last few years that I started
Editor's note: This blog post is part of a series of posts, originally published here by our partner News Literacy Project, exploring the role of data in understanding our world. Like infographics, social media and other forms of user-generated content pose unique challenges regarding data. Many news outlets and journalists have checks and balances
This is the third and last introductory article about how to bootstrap time series in SAS. In the first article, I presented the simple block bootstrap and discussed why bootstrapping a time series is more complicated than for regression models that assume independent errors. Briefly, when you perform residual resampling
Over 57 billion minutes of The Office was streamed in 2020. My family bears some responsibility. Here's our activity visualized -- using SAS.
What if you had a technology solution that creates a real-time link between the customer demand signal and what's happening on the ground? What if plans that are being steered centrally could finally be connected to every shipping lane, while simultaneously, creating cost saving carrier adjustments? The first-of-its kind integration
Have you ever heard of the DOLIST syntax? You might know the syntax even if you are not familiar with the name. The DOLIST syntax is a way to specify a list of numerical values to an option in a SAS procedure. Applications include: Specify the end points for bins
The management of the COVID-19 vaccination program is one of the most complex tasks in modern history. Even without the added complications of administering the vaccine during a pandemic, the race to vaccinate the populations who need it most all while maintaining the necessary cold-storage protocols, meeting double dose requirements,
지난해는 전례없는 코로나19 대유행으로 전 세계의 각국 정부 및 기업은 코로나19로 인한 위기를 극복하고자 디지털 트랜스포메이션을 통한 혁신을 가속화한 한 해였습니다. 불확실성 속에 찾아온 2021년, SAS의 여러 전문가들은 2021년 데이터 분석 트렌드를 인공지능(AI), 클라우드, 백신 등의 키워드를 통해 전망했습니다. 2021년 주목해야 할 데이터 분석 8가지 트렌드를 소개합니다. 기업의 임원들이 AI를
SAS가 클라우드 시장 및 타사 애플리케이션 등에 AI 접목을 촉진하기 위해 로우코드/노코드 애플리케이션 배포 및 분석 워크로드 관리 전문 영국 비상장 회사 보엠스카(Boemska)사를 인수했습니다. SAS는 이번 인수로 획득한 기술을 SAS Viya에 적용해 고객의 클라우드 분석 관련 비용을 절감하고, 모델을 모바일 및 엔터프라이즈 앱 등에 이식할 수 있게 될 예정입니다. 이를
SAS Cloud solutions on Azure help banks by delivering reliable stress test results fast.
Many countries in Europe have in previous years experienced increased price competition for general insurance products. Especially in Southern Europe, the competition has been very fierce, fueled by online price comparison websites. In Spain, Portugal and Greece, there has been a substantial drop in average premiums for products like motor,
As I discussed in a previous article, the simple block bootstrap is a way to perform a bootstrap analysis on a time series. The first step is to decompose the series into additive components: Y = Predicted + Residuals. You then choose a block length (L) that divides the total
Through the M4 and M5 competitions, we've seen the promising performance of machine learning approaches in generating forecasts. The SAS whitepaper "Assisted Demand Planning Using Machine Learning for CPG and Retail" describes a role for ML in augmenting the demand planning by guiding the review and override of statistical forecasts.
From mental health to biodiversity, SAS is committed to using data for social innovation, committing our resources, analytics expertise and software to tackle global issues. It's a vital undertaking, and we can't do it alone -- strategic partnerships are key to these efforts. Here's a quick overview of our top
On The DO Loop blog, I write about a diverse set of topics, including statistical data analysis, machine learning, statistical programming, data visualization, simulation, numerical analysis, and matrix computations. In a previous article, I presented some of my most popular blog posts from 2020. The most popular articles often deal
If you've been stuck at home a lot lately, and think you have run out of movies to watch -- think again! Here is a list of big-budget movies you might not have seen, because they flopped (lost lots of money). Follow along as I show you how I created
Trusting myself, my body, my sensations, and my experience has been monumental in helping me sustain active living and well being. Fitness must address the human being, not just the human body and staying well requires me to trust my intuition, my experience, and my own tolerance to challenges. It
For ordinary least squares (OLS) regression, you can use a basic bootstrap of the residuals (called residual resampling) to perform a bootstrap analysis of the parameter estimates. This is possible because an assumption of OLS regression is that the residuals are independent. Therefore, you can reshuffle the residuals to get