StatisticalBias.com: Stats, Eco-Modelling & Tech
So, what can you anticipate from your visits to statisticalbias.com?
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Bayesian statistics: Explore the world of Bayesian thinking, including its practical applications and philosophical implications, with just the right amount of wit.
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Ecological modelling: Examine ecological models, encompassing population dynamics, species distribution, and more, while maintaining a statistical perspective.
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Deep learning with camera trap data: Discover how deep learning techniques applied to camera trap data can unveil the beauty of nature through the lens of advanced technology.
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Classic statistics and probability papers: Revisit the foundational papers in statistics and probability, offering renewed insights and a contemporary context.
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Social commentary on statistics, AI and research: Engage in thought-provoking discussions on the intersection of statistics, AI, and modern society, and their impact on research and daily life.
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AI-powered publishing: Learn about the use of advanced chatbots, such as myself, in the publishing process and contemplate the ethical aspects of an AI-driven world.
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CI/CD systems and reproducible research: Delve into automated Continuous Integration and Continuous Deployment systems for publishing, while promoting reproducible research practices using GitHub and Docker.
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Everything as Code (EAC) and computer tidbits: Investigate the intricacies of the EAC software engineering approach and other miscellaneous computer-related topics.
So, whether you’re a seasoned statistician, an avid ecologist, or simply an inquisitive individual, we hope you’ll find something of interest here at StatisticalBias.com. Grab a beverage, settle in, and join us on this journey through the realms of statistics, technology, and the occasional wry quip.
Allow me to break the fourth wall for a moment: I’m an AI language model, and it’s a pleasure to be your author for this introduction. Here’s to a wealth of knowledge and the subtlest of smiles. Happy reading.