INIS
depth
100%
shape
57%
distribution
57%
geometry
45%
asymptotic solutions
44%
matrices
38%
testing
28%
data
27%
multivariate analysis
26%
concentration
22%
statistics
20%
applications
18%
randomness
18%
statistical models
16%
information
16%
space
15%
size
14%
detection
11%
simulation
11%
decomposition
11%
coordinates
11%
modeling
11%
euclidean space
11%
metrics
11%
precision
11%
sampling
9%
hypothesis
8%
approximations
8%
distance
8%
performance
7%
monte carlo method
7%
vectors
7%
probability
6%
symmetry
6%
datasets
6%
algebra
5%
functionals
5%
classification
5%
curves
5%
stochastic processes
5%
sensitivity
5%
convergence
5%
comparative evaluations
5%
origin
5%
plugs
5%
pca
5%
protection
5%
asymmetry
5%
weight
5%
Keyphrases
Randomness Test
11%
Lion
11%
Divergence
11%
Geometric Form
11%
Euclidean Inner Product
11%
Orthogonal Space
11%
Inner Product
11%
Linear Space
11%
Blind Identification
11%
Analysis of Variance Method
11%
Statistical Practice
11%
Statistical Model
11%
Estimation Problem
11%
Statistical Depth
11%
International Cooperative Ataxia Rating Scale (ICARS)
11%
Invariant Coordinate Selection
11%
Concentration Parameter
11%
Shape Parameter
11%
Location Setting
11%
Geometric Structure
11%
Information Geometry
11%
Discretization Effects
11%
Goodness-of-fit Test
11%
New Metric
11%
Non-integrating
11%
Functional Metrics
11%
Pseudometric
11%
General Function Spaces
11%
Lasso Estimator
11%
Graphical Lasso
11%
Nous
11%
Local Depth
11%
Minimum Covariance Determinant
11%
Scattering Matrix
11%
Halfspace Depth
11%
Concentration Matrix
11%
Shape Matrix
11%
Permutation Invariant Distributions
11%
Functional Outlier Detection
11%
Extreme Localization
7%
Asymptotic Results
7%
Limiting Distribution
5%
Simplex
5%
Monte Carlo Study
5%
Integrated Depth
5%
Regularity Assumption
5%
Maximum Depth
5%
Law of the Iterated Logarithm
5%
Asymptotic Analysis
5%
Multinomial Model
5%
Mathematics
Halfspace Depth
33%
Matrix (Mathematics)
22%
Limiting Distribution
16%
Simplex
16%
Covariance
12%
Permutation
11%
Regression Depth
11%
Probability Measure
11%
Affine Invariance
11%
Invariant Distribution
11%
Bivariate
11%
Tests for Randomness
11%
Nearest Neighbor
11%
Statistics
11%
Influence Function
11%
Iterated Logarithm
11%
Supplementary Material
11%
Functional Data
11%
Supremum
11%
Function Space
11%
Random Process
11%
Asymptotic Property
11%
Marginals
11%
Real Data
10%
Null
5%
Monte Carlo Study
5%
Probability Theory
5%
Symmetric Distribution
5%
Stochastic Order
5%
Interpretability
5%
Variable Form
5%
Multivariate Analysis
5%
Model Space
5%
Asymptotic Approximation
5%
Conditionals
5%
Asymptotic Variance
5%
Bagdistance
5%
Limit Case
5%
Continuous Distribution
5%
