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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
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Short description of portfolio item number 1
Short description of portfolio item number 2
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
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The Allen Brain Observatory Visual Coding Neuropixels data set contains simultaneous recordings from hundreds of neurons across many brain areas in multiple mice. We study the variation, across mice, of the functional connectivity among brain visual areas.
Course, Statistics and Datascience Department, CMU, 2023
This is the second half of a two-semester, calculus-based course sequence that introduces theoretical aspects of probability and statistical inference to students. The course covers specific probability distributions and their inferential applications, starting with the normal distribution and continuing with the binomial and Poisson distributions, etc., and their use in point and interval estimation, hypothesis testing, and regression. Also covers topics related to multivariate distributions: marginal and conditional distributions, covariance, and conditional distribution moments.
Course, Statistics and Datascience Department, CMU, 2023
This is the first half of a year-long course which provides an introduction to probability and mathematical statistics for undergraduate students in the data sciences. Topics include elementary probability theory, conditional probability and independence, random variables, distribution functions, joint and conditional distributions, law of large numbers, and the central limit theorem.