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two-wrongs.com | ||
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hbiostat.org
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| | | | | Continuous learning from data and computation of probabilities that are directly applicable to decision making in the face of uncertainty are hallmarks of the Bayesian approach. Bayesian sequential designs are the simplest of flexible designs, and continuous learning capitalizes on their efficiency, resulting in lower expected sample sizes until sufficient evidence is accrued due to the ability to take unlimited data looks. Classical null hypothesis testing only provides evidence against the supposition that a treatment has exactly zero effect, and it requires one to deal with complexities if not doing the analysis at a single fixed time. Bayesian posterior probabilities, on the other hand, can be computed at any point in the trial and provide current eviden... | |
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reasonabledeviations.com
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| | | | | Academic blog about quantitative finance, programming, maths. | |
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doomlab.github.io
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| | | | | Upon arriving at Missouri State University, I founded the Deciphering Outrageous Observations and Modeling (DOOM) lab which has included more than ten graduate and thirty undergraduate students. My research mission has been in two primary domains described in detail below and includes many collaborative efforts throughout the years. Psycholinguistics. My cognitive research focuses broadly on psycholinguistics and memory, particularly on the statistical properties of word relationships. Overall, I seek to understand how language is represented in memory by adding to and examining available linguistic database information (i. | |
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www.github.com
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| | | my blog, with astro. Contribute to Krayorn/blog development by creating an account on GitHub. | ||
