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Mathmath

Pure mathematician by doctoral training, specially differential geometry and Riemann surfaces, with undergraduate statistics knowledge. Now moving on to do postdoctoral research that connects longitudinal data analysis with differential geometry.

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7 Real motivation for using mixed effect models, and when to use them and when not to Feb 4 '15
5 Identifiability of the linear regression model: necessary and sufficient condition Mar 18 '15
3 Recommendation for books/notes for linear mixed effect models for longitudinal data? Nov 20 '14
3 How to solve a classification problem when the independent variables/covariates/feature vectors form a time series? Jan 25 '19
3 In Multidimensional Scaling (MDS), is it safe to assume that the optimal embedding dimension grows with the growth of sample size? Mar 5
2 Does classic MultiDimensional Scaling reconstructs data upto a rotation when there's no noise and embedding dimensions equals original data dimension? Mar 9
2 Geometric significance of the dimensional reduction part of spectral clustering? Jan 20
2 Theoretical justification behind assuming that the data is locally uniformly distributed, as seem to be used by manifold learning community Apr 26
2 Connection between uniform distribution on a set and uniform sampling from a set - intuitive pictures and necessary mathematical formulas May 13
2 Is/are there any threshold value(s) to determine to see if PCA is useful at all, specially for high dimensional data? May 5 '16
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