|
alternative splicing |
1 |
|
approximate factor model |
1 |
|
asymptotic distributions |
1 |
|
batch effect |
1 |
|
brain image network |
1 |
|
conditional graphical model |
1 |
|
covariance matrix |
1 |
|
crypto market |
1 |
|
differential splicing |
1 |
|
diverging eigenvalues |
1 |
|
elbow effect |
1 |
|
elliptical distribution |
1 |
|
exon-centric method |
1 |
|
false discovery proportion |
1 |
|
functional estimation |
1 |
|
heavy-tailed data |
1 |
|
high-dimensional statistics |
1 |
|
high-dimensional testing |
1 |
|
high-dimensionality |
1 |
|
huber minimization |
1 |
|
incoherence |
1 |
|
loading matrix modeling |
1 |
|
low-rank matrices |
1 |
|
low-rank matrix recovery |
1 |
|
m-estimator |
1 |
|
marginal |
1 |
|
matrix perturbation theory |
1 |
|
minimax |
1 |
|
multiple sourcing |
1 |
|
negative binomial model |
1 |
|
principal component analysis |
1 |
|
relative risk management |
1 |
|
risk management |
1 |
|
rna-seq |
1 |
|
robust covariance matrix |
1 |
|
robust loss function |
1 |
|
robust statistics |
1 |
|
semiparametric factor model |
1 |
|
semiparametric factor models |
1 |
|
shrinkage |
1 |
|
sieve approximation |
1 |
|
sparsity |
1 |
|
spatial kendall’s tau |
1 |
|
sub-gaussian family |
1 |
|
trace regression |
1 |
|
volatility forecasting |
1 |
