${\ell _{p}^{n}}$-balls – 239
${\ell _{p}^{n}}$-spheres – 239
φ-sub-Gaussian processes – 41
asymptotic expansion – 435
asymptotic geometric analysis – 239
asymptotic normality – 93, 509
asymptotic theory – 475
asymptotically independent estimators – 373
Bahadur Ranga Rao – 239
Berry–Esséen bound – 329
Berry–Essen bounds – 141
bias reduction – 435
blind source separation – 475
bounded in the mean solution – 465
CARMA processes – 309
complete monotonocity – 309
conditional maximum likelihood estimators – 435
confidence interval – 509
consistent estimators – 373
convexity – 387
covariance function – 93
cylindrical random variable – 349
difference equation – 465
discrete distribution – 387
distribution of sumpremum – 41
eigenfunction – 141
eigenspace – 141
eigenvalue – 509
entropy methods – 41
existence, uniqueness, weak probabilistic solution – 115
extinction – 17
finite mixture model – 509
fixed-point equation – 413
fourth moment theorems – 141
fractional process – 63
functional Γ-calculus – 141
Gaussian second-order moving average model – 435
global solution – 17
heat equation – 41
high-dimensional convexity – 239
intersection volume – 239
joint asymptotic distribution – 291
large deviation principles – 239
large deviations – 63
least squares estimator – 329
Leslie–Gower and Holling-type II functional response – 17
Lévy white noise – 179
limit theorems – 141
linear errors-in-variables model – 373
linear operator – 349
local mixing – 1
long-range dependency – 475
machine learning – 413
Malliavin calculus – 141, 275
Malliavin–Stein approach for normal approximations – 329
Markov chain – 413
Markov generator – 141
Markov triple – 141
metatime – 349
mixture of the classical and Berkson errors – 373
mixture with varying concentrations – 509
moderate deviations – 63
multiple integral – 141
multiple Wiener–Itô integrals – 275
multivariate analysis – 475
nearest neighbor search – 413
noncentral limit theorems – 475
nonlinear regression model – 93
nonnegative stationary processes – 309
nonparametric estimation – 509
nonpersistence in the mean – 17
parameter estimation – 291
Poisson space – 141
precise large deviations – 239
principal components – 509
probabilistic analysis – 413
probability metrics – 141
proximity of solutions – 465
random initial conditions – 41
random measure – 349
random tree – 413
rate of growth – 41
Rényi entropy – 387
residual correlogram – 93
Riemann zeta function – 275
SDEs – 1
Selberg theorem – 275
sharp asymptotics – 239
sharp large deviations – 239
similarity search – 413
spectrum – 141
stationary Gaussian noise – 93
stationary solution – 465
Stein’s method – 141
stochastic delay differential equations – 309
stochastic modified-Leray-alpha model – 115
stochastic partial differential equations – 179
stochastic permanence – 17
stochastic predator–prey model – 17
stochastic ultimate boundedness – 17
strong consistency – 291
strong large deviations – 239
sub-fractional Ornstein–Uhlenbeck process of second kind – 329
subordinators – 309
tempered stable subordinator – 63
trawl process – 349
vantage point tree – 413
volume of convex bodies – 239
vp-tree – 413
weak convergence – 141
weak persistence in the mean – 17
weighted fractional Vasicek model – 291
Wiener space – 141
Young integral – 291
