Pages that link to "Item:Q1674160"
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The following pages link to Big and complex data analysis. Methodologies and applications (Q1674160):
Displaying 18 items.
- Advanced statistical methods in data science. Selected papers based on the presentations at the 2nd symposium of the International Chinese Statistical Association -- Canada, ICSA-CANADA, Calgary, Canada, August 4--6, 2015 (Q504911) (← links)
- Principles and methods for data science (Q777170) (← links)
- Mixtures of hidden truncation hyperbolic factor analyzers (Q779042) (← links)
- Data learning from big data (Q1642365) (← links)
- On dimension reduction models for functional data (Q1642412) (← links)
- Handbook of big data analytics (Q1662958) (← links)
- Recent advances in functional data analysis and high-dimensional statistics (Q1733263) (← links)
- Multivariate and functional robust fusion methods for structured big data (Q1733276) (← links)
- Variable selection in functional regression models: a review (Q2062803) (← links)
- On functional data analysis and related topics (Q2078520) (← links)
- Testing marginal homogeneity in Hilbert spaces with applications to stock market returns (Q2084718) (← links)
- Big data and precision (Q3455817) (← links)
- Statistical challenges of high-dimensional data (Q3559944) (← links)
- Statistical analysis of very high-dimensional data sets of hierarchically structured binary variables with missing data: An application to marine corps readiness evaluations (Q3740894) (← links)
- A consistent goodness-of-fit test for huge dimensional and functional data (Q4559455) (← links)
- (Q5060871) (← links)
- A new data adaptive elastic net predictive model using hybridized smoothed covariance estimators with information complexity (Q5107377) (← links)
- Choosing the optimal hybrid covariance estimators in adaptive elastic net regression models using information complexity (Q5107503) (← links)
