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The Etz-Files | Blogging about science, statistics, and psychologyBlogging about science, statistics, and psychology (by Alex Etz)
http://www.alexanderetz.com/
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http://www.alexanderetz.com/
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The Etz-Files | Blogging about science, statistics, and psychology | alexanderetz.com Reviews
https://alexanderetz.com
Blogging about science, statistics, and psychology (by Alex Etz)
alexanderetz.com
Likelihood | The Etz-Files
http://alexanderetz.com/tag/likelihood
Blogging about science, statistics, and psychology. Understanding Bayes: How to cheat to get the maximum Bayes factor for a given p value. June 19, 2016. June 19, 2016. OR less click-baity: What is the maximum Bayes factor you can get for a given p value? Obvious disclaimer: Don’t cheat). Starting to use and interpret Bayesian statistics can be hard at first. A recent recommendation that I like is from Zoltan Dienes and Neil Mclatchie. To “Report a. 8221; Meaning, for every. Bayes factor for a given.
Statistics | The Etz-Files
http://alexanderetz.com/category/statistics
Blogging about science, statistics, and psychology. New revision of How to become a Bayesian in eight easy steps. September 4, 2016. September 4, 2016. Quentin, Fabian, Peter, Beth and I recently resubmitted our manuscript titled “How to become a Bayesian in eight easy steps: An annotated reading list” that we initially submitted earlier this year. You can find an updated preprint here. This was quite a minor revision. The largest change to the paper. You’ll have to check out the paper. July 20, 2016.
May 2015 | The Etz-Files
http://alexanderetz.com/statistics-diary/may-2015
Blogging about science, statistics, and psychology. Going to visit Irvine this summer! This piece by Terry Burnham ( here. Has been going around twitter. A result a while back showed that harder to read questions led people to score higher on tests. Quick bits:. Reached its conclusions based on the test scores of 40 people. In our paper, we analyze a total of over 7,000 people by looking at the original study and 16 additional studies. Topic of estimation vs model comparison came up on twitter today.
Fun Science | The Etz-Files
http://alexanderetz.com/category/fun-science
Blogging about science, statistics, and psychology. Understanding Bayes: Visualization of the Bayes Factor. August 9, 2015. November 15, 2015. In the first post. The likelihood is the workhorse of Bayesian inference. In order to understand Bayesian parameter estimation you need to understand the likelihood. In order to understand Bayesian model comparison (Bayes factors) you need to understand the likelihood and likelihood ratios. I’ve shown in another post. There’s that coin again. In that previous post.
January 2015 | The Etz-Files
http://alexanderetz.com/statistics-diary/january-2015
Blogging about science, statistics, and psychology. I had a discussion. I read a wonderful article. Today by EJ Wagenmakers and colleagues (Krypotos, Criss, and Iverson) detailing the effects of nonlinear transformations on different types of interactions (ordinal, crossover, etc). I wish they taught this in my stats classes! Then i read a blog post. The blog sparked a lot of discussion on Twitter. And lead us down the typical rabbit-hole that discussions of Bayesian statistics lend themselves to. In...
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plausibilitytheory.wordpress.com
What is a statistical model? | Plausibility Theory
https://plausibilitytheory.wordpress.com/2015/07/10/what-is-a-statistical-model
Two analogies on ‘Waking Up’. The Ubiquity of Non-Informative Priors →. What is a statistical model? July 10, 2015. Brendon J. Brewer. What is a statistical model? My own views are different. Firstly, I don’t think statistical models are representations of the data at all (barring one exception, which I will discuss later). Instead, they are representations of the. Whether or not we should trust the results of an inference, which is what we usually want to know. About the values of. Is on the x-axis and.
Fooled by Probability | Jim Grange
https://jimgrange.wordpress.com/2015/01/18/fooled-by-probability
Senior Lecturer in Cognitive Psychology. Keele University, UK. January 18, 2015. 8221;, by Rob Eastaway and Jeremy Wyndham). Imagine you are teaching a class with 30 students in it. What is the probability that at least two of your students share the same birthday? Before you read on, have a think what you would estimate this probability to be…. The Answer (and Proof! Would you be surprised to know that you have about a 78% chance (. The book states that the solution for any class size. The plots are fou...
The myth of the magical “Because” – Data punk | Käyttäytymisarkkitehtuuri
https://mattiheino.com/2016/05/03/myth-of-the-magical-because
º Data punk (English). The legacy of social psychology. A short intro to what’s up. Getting Started With Bayes. Analyse your research design, before someone else does. Defeating the crisis of confidence in science: 3 3 ideas. The myth of the magical “Because”. Bias, meditation and the pursuit of clarity. Taking back the power (in cluster randomization). How lack of transparency feeds the beast. Health psychology, scientific methodology and living with uncertainty. º Data punk (English). Long story short,...
Invariances: Reply to Uri Simonsohn's Critique of Default Bayesian Tests
http://jeffrouder.blogspot.com/2015/04/reply-to-uri-simonsohns-critique-of.html
A blog about research methods, statistics, infrastructure, cognition, memory, and perception. Thursday, April 9, 2015. Reply to Uri Simonsohn's Critique of Default Bayesian Tests. How we draw inferences about theoretical positions from data, how we know things, is central to any science. My colleagues and I advocate Bayes factors, and Uri Simonsohn provides a critique. According to Uri, Bayes factors are prejudiced. P 400) described classical methods as violently biased. Uri's argument assumes that obser...
plausibilitytheory.wordpress.com
Inference bait and switch | Plausibility Theory
https://plausibilitytheory.wordpress.com/2015/06/08/inference-bait-and-switch
El cebo y el anzuelo en la inferencia →. Inference bait and switch. June 8, 2015. Brendon J. Brewer. Despite the friendly atmosphere, there is still a lot to be debated, and when the topics come up, all sorts of interesting things can happen, such as the following (poorly reconstructed from memory) conversation I had a couple of weeks ago. I’ve done my best not to misrepresent my colleague’s views. ME: I agree. Additional complaints about people still using p-values in the first place. Which is something...
plausibilitytheory.wordpress.com
El cebo y el anzuelo en la inferencia | Plausibility Theory
https://plausibilitytheory.wordpress.com/2015/06/15/el-cebo-y-el-anzuelo-en-la-inferencia
Inference bait and switch. Two analogies on ‘Waking Up’ →. El cebo y el anzuelo en la inferencia. June 15, 2015. Brendon J. Brewer. Esta es una traducción al español de la entrada “Inference bait and switch” que publiqué recientemente. La traducí para divertirme y practicar mi segundo idioma. Es mi primer intento de traducir algo tan complejo como esto, entonces lo siento por algún error. Muchas gracias a Patricio Maturana Russel. YO: En tu opinión, cómo se deberían usar los valores p? COLEGA: Los cientí...
plausibilitytheory.wordpress.com
Testing model assumptions | Plausibility Theory
https://plausibilitytheory.wordpress.com/2014/09/09/testing-model-assumptions
Hard Integrals →. September 9, 2014. Brendon J. Brewer. We’re usually taught that it’s important to test model assumptions. For example, if your inference assumes the probability distribution for the data is a normal/gaussian distribution, then you should look at a histogram of the data to see if it actually looks like a gaussian. If it doesn’t, then you have a large risk of getting wrong or misleading answers. Or so we’re told. Consider the following simple example. There is a parameter. An important qu...
plausibilitytheory.wordpress.com
The nature of probability | Plausibility Theory
https://plausibilitytheory.wordpress.com/2015/03/08/the-nature-of-probability
Publication Bias and P-Values. How many “distributions of the data” are there? The nature of probability. March 8, 2015. Brendon J. Brewer. Recently I was involved in a Twitter conversation about quantum mechanics, during which I claimed that the nature of probability has been completely solved. I was going to write a blog post about quantum theory, but my thoughts on it aren’t mature enough so I decided to focus on the completely solved nature of probability. The first main application of probability to...
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The Etz-Files | Blogging about science, statistics, and psychology
Blogging about science, statistics, and psychology. Open blogging: Post ideas. Understanding Bayes: Visualization of the Bayes Factor. August 9, 2015. August 10, 2015. In the first post. The likelihood is the workhorse of Bayesian inference. In order to understand Bayesian parameter estimation you need to understand the likelihood. In order to understand Bayesian model comparison (Bayes factors) you need to understand the likelihood and likelihood ratios. I’ve shown in another post. In that previous post.
Alexander's Blog
Welcome to my Blog. Do you like this Blog? November 20, 2010. Tell me your opinion! November 20, 2010. Welcome on my WordPress Blog. Jonathan Köhler told me about WordPress, so i will try it. WordPress has an RSS service and a pretty nice mobile version, I found out yesterday on my iPod. This Blog is currently at work, so the design and the content will change everyday. You want to be up-to-date everytime and everywhere? Create a free website or blog at WordPress.com.
Alexander Lee Eusebio
Tuesday, 6 December 2011. Record a video of you AND your friends. In the video, you've to say 'I Love You' in your country's language. You can say 'I Love You' in ur country's language OR English OR Korean. Your video must NOT be more than 6 seconds. Send me your video BEFORE Dec 8. I really need it fast. Make sure you record it WITH your friends and OUTSIDE. OUTDOOR. Send it to our e-mail : ukissfanclub@yahoo.com. Subject : 3rd Project. Thursday, 1 December 2011. Supportive Message for Xander. I need ab...
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