In the previous posts, I explained the covariate shift but missed the most important part… How can we detect it? This simple diagram is breaking down various covariate shift detection methods: 1) Multivariate - detects a shift in a joint(multiple features) distribution 2) Univariate - detects changes in a single feature distribution, using either: ↳ Statistical tests ↳ Distance methods Each of these methods has trade-offs based on the type of shift, but I will talk more about it in the next post👀
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This article by John V. Kane on Medium provides an interesting but often overlooked contrast between Correlation analysis (specifically, Pearson’s pairwise correlation) and regression analysis (specifically, bivariate ordinary least squares (OLS). Major point I drew from the article is that: while correlation and regression coefficients are often seen as being similar, it is possible for two variables to show a strong correlation but actually have a weak overall effect on each other or regression. Have you encountered situations where correlation and regression analysis yielded different insights? How did you handle it? If you would like to know more about this, give it a read by following the link to this article attached to this post. https://lnkd.in/dRekMTiD
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Which statistical test is used to compare two or more categorical and continuous variables?
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I made some small parametric modifications and the result was so optimal that I am going to separate the strategy based on inferential statistics into two different strategies to be able to monitor them better.
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why we use matrices to measure accuracy? what is classification report? what is the matrices used to measure the accuracy in linear regression and classification models and how?? all explained in 1 presentation.
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When one wants specific answers to specific questions regarding statistical power, one cannot do much better than a simulated power analysis. For instance, what does power mean for an individual coefficient in a regression, which presumably has a larger magnitude and less standard error present than other coefficients? I show at least one basic example in the link below. Other examples of similar techniques for finding term-specific power are also shown. #statistics #researchmethods #statisticalthinking https://lnkd.in/g_mnw-dg
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It's good you understand the various inferential statistical test and the applications of the test using sample sizes and variance...
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Ex customer relationship associate at I-Qasir software company. EX intern at substation 400/220 STEPDOWN SUBSTATION Qazi GUND.
Topic -Explain Quantative methods including time series analysis and regression https://lnkd.in/eQgjdTNx
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