Pages that link to "Item:Q121360"
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The following pages link to Simplicial principal component analysis for density functions in Bayes spaces (Q121360):
Displaying 34 items.
- robCompositions (Q23742) (← links)
- Dimensionality reduction when data are density functions (Q452596) (← links)
- Hotelling's \(T^2\) in separable Hilbert spaces (Q1661352) (← links)
- Compositional regression with functional response (Q1662822) (← links)
- Cointegrated linear processes in Bayes Hilbert space (Q1726899) (← links)
- Recent advances in functional data analysis and high-dimensional statistics (Q1733263) (← links)
- Describing the concentration of income populations by functional principal component analysis on Lorenz curves (Q1733264) (← links)
- A Class-Kriging predictor for functional compositions with application to particle-size curves in heterogeneous aquifers (Q1789200) (← links)
- Compositional splines for representation of density functions (Q2032204) (← links)
- Additive regression for predictors of various natures and possibly incomplete Hilbertian responses (Q2044344) (← links)
- Compositional scalar-on-function regression with application to sediment particle size distributions (Q2066830) (← links)
- Locally polynomial Hilbertian additive regression (Q2137056) (← links)
- Wasserstein \(F\)-tests and confidence bands for the Fréchet regression of density response curves (Q2656610) (← links)
- A Conformal Approach for Distribution-free Prediction of Functional Data (Q3300630) (← links)
- Interpreting the Principal Component Analysis of Multivariate Density Functions (Q3458073) (← links)
- Wasserstein autoregressive models for density time series (Q5030950) (← links)
- (Q5054639) (← links)
- Fast deflation sparse principal component analysis via subspace projections (Q5107781) (← links)
- Functional regression models: Some directions of future research (Q5142169) (← links)
- Logratio Approach to Distributional Modeling (Q5871013) (← links)
- Functional data analysis for density functions by transformation to a Hilbert space (Q5963520) (← links)
- Orthogonal decomposition of multivariate densities in Bayes spaces and relation with their copula-based representation (Q6074743) (← links)
- Bivariate densities in Bayes spaces: orthogonal decomposition and spline representation (Q6089302) (← links)
- Spherical autoregressive models, with application to distributional and compositional time series (Q6150520) (← links)
- A general framework for multivariate functional principal component analysis of amplitude and phase variation (Q6541495) (← links)
- Weighting the domain of probability densities in functional data analysis (Q6541572) (← links)
- Metric statistics: exploration and inference for random objects with distance profiles (Q6550971) (← links)
- Bayesian taut splines for estimating the number of modes (Q6573305) (← links)
- Multi-feature clustering of step data using multivariate functional principal component analysis (Q6579416) (← links)
- Mean and covariance estimation for discretely observed high-dimensional functional data: rates of convergence and division of observational regimes (Q6615373) (← links)
- Profile Monitoring of Probability Density Functions via Simplicial Functional PCA With Application to Image Data (Q6622457) (← links)
- Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing (Q6631085) (← links)
- Functional Outlier Detection for Density-Valued Data with Application to Robustify Distribution-to-Distribution Regression (Q6631140) (← links)
- Multivariate scalar on multidimensional distribution regression with application to modeling the association between physical activity and cognitive functions (Q6649371) (← links)