Posts Tagged ‘ Decision Theory ’

On deck through the rest of the year

July 1, 2018
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July: The Ponzi threshold and the Armstrong principle Flaws in stupid horrible algorithm revealed because it made numerical predictions PNAS forgets basic principles of game theory, thus dooming thousands of Bothans to the fate of Alderaan Tutorial: The practical application of complicated statistical methods to fill up the scientific literature with confusing and irrelevant analyses […] The post On deck through the rest of the year appeared first on Statistical…

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The “Psychological Science Accelerator”: it’s probably a good idea but I’m still skeptical

June 26, 2018
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Asher Meir points us to this post by Christie Aschwanden entitled, “Can Teamwork Solve One Of Psychology’s Biggest Problems?”, which begins: Psychologist Christopher Chartier admits to a case of “physics envy.” That field boasts numerous projects on which international research teams come together to tackle big questions. Just think of CERN’s Large Hadron Collider or […] The post The “Psychological Science Accelerator”: it’s probably a good idea but I’m still…

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What is the role of statistics in a machine-learning world?

June 26, 2018
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I just happened to come across this quote from Dan Simpson: When the signal-to-noise ratio is high, modern machine learning methods trounce classical statistical methods when it comes to prediction. The role of statistics in this case is really to boos...

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Ways of knowing in computer science and statistics

June 22, 2018
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Brad Groff writes: Thought you might find this post by Ferenc Huszar interesting. Commentary on how we create knowledge in machine learning research and how we resolve benchmark results with (belated) theory. Key passage: You can think of “making a a deep learning method work on a dataset” as a statistical test. I would argue […] The post Ways of knowing in computer science and statistics appeared first on Statistical…

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Answering the question, What predictors are more important?, going beyond p-value thresholding and ranking

June 21, 2018
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Daniel Kapitan writes: We are in the process of writing a paper on the outcome of cataract surgery. A (very rough!) draft can be found here, to provide you with some context:  https://www.overleaf.com/read/wvnwzjmrffmw. Using standard classification methods (Python sklearn, with synthetic oversampling to address the class imbalance), we are able to predict a poor outcome […] The post Answering the question, What predictors are more important?, going beyond p-value thresholding…

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Chasing the noise in industrial A/B testing: what to do when all the low-hanging fruit have been picked?

June 16, 2018
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Commenting on this post on the “80% power” lie, Roger Bohn writes: The low power problem bugged me so much in the semiconductor industry that I wrote 2 papers about around 1995. Variability estimates come naturally from routine manufacturing statistics, which in semicon were tracked carefully because they are economically important. The sample size is […] The post Chasing the noise in industrial A/B testing: what to do when all…

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About that quasi-retracted study on the Mediterranean diet . . .

June 15, 2018
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Some people asked me what I thought about this story. A reporter wrote to me about it last week, asking if it looked like fraud. Here’s my reply: Based on the description, there does not seem to be the implication of fraud. The editor’s report mentioned “protocol deviations, including the enrollment of participants who were […] The post About that quasi-retracted study on the Mediterranean diet . . . appeared…

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Forking paths come from choices in data processing and also from choices in analysis

June 5, 2018
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Michael Wiebe writes: I’m a PhD student in economics at UBC. I’m trying to get a good understanding of the garden of forking paths, and I have some questions about your paper with Eric Loken. You describe the garden of forking paths as “researcher degrees of freedom without fishing” (#3), where the researcher only performs […] The post Forking paths come from choices in data processing and also from choices…

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Comments on Limitations of Bayesian Leave-One-Out Cross-Validation for Model Selection

June 5, 2018
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There is a recent pre-print Limitations of Bayesian Leave-One-Out Cross-Validation for Model Selection by Quentin Gronau and Eric-Jan Wagenmakers. Wagenmakers asked for comments and so here are my comments. Short version: They report a known limitation of LOO when it’s used in a non-recommended way for model selection. They report that their experiments show that […] The post Comments on Limitations of Bayesian Leave-One-Out Cross-Validation for Model Selection appeared first…

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Ambiguities with the supposed non-replication of ego depletion

June 4, 2018
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Baruch Eitam writes: I am teaching a seminar for graduate students in the social track and I decided to dedicate the first 4-6 classes to understanding the methodological crises in psychology, its reasons and some proposed solutions. In one of the classes I had the students read this paper which reports an attempt to reproduce […] The post Ambiguities with the supposed non-replication of ego depletion appeared first on Statistical…

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