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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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