Pages that link to "Item:Q5957016"

The following pages link to Geometric approach to statistical analysis on the simplex (Q5957016):

Displaying 38 items.

• The normal distribution in some constrained sample spaces (Q2920802) (← links)
• A Regression Model for Compositional Data Based on the Shifted-Dirichlet Distribution (Q2959072) (← links)
• Representation of Species Composition (Q2959074) (← links)
• Joint Compositional Calibration: An Example for U–Pb Geochronology (Q2959076) (← links)
• Using discrete Ricci curvatures to infer COVID-19 epidemic network fragility and systemic risk (Q3382343) (← links)
• (Q3396799) (← links)
• (Q3622546) (← links)
• Statistical Methods: The Geometric Approach (Q3999763) (← links)
• Coherent Modeling and Forecasting of Mortality Patterns for Subpopulations Using Multiway Analysis of Compositions: An Application to Canadian Provinces and Territories (Q4567963) (← links)
• Non-parametric regression for compositional data (Q4971409) (← links)
• Tools for compositional data with a total (Q4971412) (← links)
• Regression with compositional response having unobserved components or below detection limit values (Q4971413) (← links)
• Quantum Aitchison geometry (Q4995030) (← links)
• Heteroskedastic linear regression model with compositional response and covariates (Q5036386) (← links)
• A robust Parafac model for compositional data (Q5036419) (← links)
• Regression imputation with Q-mode clustering for rounded zero replacement in high-dimensional compositional data (Q5036472) (← links)
• Clustering transformed compositional data using<i>K</i>-means, with applications in gene expression and bicycle sharing system data (Q5036483) (← links)
• An endemic–epidemic beta model for time series of infectious disease proportions (Q5044690) (← links)
• Efficient sampling on the simplex with a self-adjusting logit transform proposal (Q5107015) (← links)
• Total least squares solution for compositional data using linear models (Q5123602) (← links)
• Linear regression with compositional explanatory variables (Q5127022) (← links)
• Multiple linear regression with compositional response and covariates (Q5138704) (← links)
• Merging the components of a finite mixture using posterior probabilities (Q5142230) (← links)
• (Q5156827) (← links)
• The Skew-Normal Distribution on the Simplex (Q5421535) (← links)
• Partial least squares regression with compositional response variables and covariates (Q5861158) (← links)
• Robust principal component analysis for compositional tables (Q5861494) (← links)
• Extending compositional data analysis from a graph signal processing perspective (Q6074725) (← links)
• No‐arbitrage matrices of exchange rates: Some characterizations (Q6077840) (← links)
• Weighting of parts in compositional data analysis: advances and applications (Q6084343) (← links)
• Weighted principal component analysis for compositional data: application example for the water chemistry of the Arno river (Tuscany, central Italy) (Q6089990) (← links)
• Darwinian evolution as Brownian motion on the simplex: a geometric perspective on stochastic replicator dynamics (Q6103971) (← links)
• Compositional cubes: a new concept for multi-factorial compositions (Q6157049) (← links)
• Parametric Lie group structures on the probabilistic simplex and generalized compositional data (Q6187288) (← links)
• Weighting the domain of probability densities in functional data analysis (Q6541572) (← links)
• Compositional PLS biplot based on pivoting balances: an application to explore the association between 24-h movement behaviours and adiposity (Q6567428) (← links)
• A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance (Q6570343) (← links)
• Pairwise share ratio interpretations of compositional regression models (Q6573290) (← links)