INIS
randomness
100%
least square fit
77%
fisheries
72%
stochastic processes
66%
noise
66%
diffusion
66%
chile
66%
hybrids
66%
learning
66%
brownian movement
50%
differential equations
50%
distribution
50%
simulation
41%
applications
41%
values
41%
approximations
33%
tempering
33%
kernels
33%
calculation methods
33%
trajectories
33%
aggregation
33%
sampling
33%
fluctuations
33%
food
33%
fishes
33%
environment
33%
interactions
33%
power
33%
seas
33%
surfaces
33%
populations
33%
environmental effects
33%
data
19%
performance
19%
asymptotic solutions
16%
modeling
16%
variations
16%
modifications
16%
calculi
16%
mammals
16%
security
16%
statistics
16%
proposals
16%
productivity
16%
marine ecosystems
16%
abundance
16%
humans
16%
convergence
8%
probability density functions
8%
range
8%
Mathematics
Least Square
83%
Stochastic Differential Equation
66%
Square Estimator
66%
random time δ
66%
Fractional Brownian Motion
50%
Parameter Estimation
50%
Hurst Parameter
50%
Gaussian Distribution
33%
Stochastics
33%
Bayesian
33%
Time Domain
33%
Conditionals
33%
Malliavin Calculus
33%
Variable Value
33%
Random Coefficient
33%
Long-Memory Process
33%
Limit Process
33%
Independent Copy
33%
Missing Value
33%
Limit Theorem
33%
Deep Learning Method
33%
Mathematical Method
33%
Mathematical Statistic
33%
Linear Regression Model
27%
Hurst-Exponent
22%
Exogenous Variable
16%
drift parameter μ
16%
Approximate Bayesian Computation
16%
Simulation Study
16%
Numerical Example
16%
Independent Set
16%
Conditional Variance
16%
Wavelet
16%
Asymptotic Distribution
16%
Renewal Process
16%
Type Method
16%
Covariate
16%
Hurst Index
11%
Additive Noise
11%
Monte Carlo Analysis
11%
Sampling Rate
11%
Range Dependence
11%
Noise Process
11%
Probability Density Function
11%
Convergence Rate
11%
Keyphrases
Fisheries
44%
Stochastic Differential Equations
33%
Fractional Brownian Motion
33%
Hermite Process
33%
Ornstein-Uhlenbeck Process
33%
Least Squares Estimator
33%
Malliavin Calculus
33%
Engraulis Ringens
33%
Time-driven
33%
Anchovy
33%
Northern Chile
33%
Heteroscedastic
33%
Sea Surface Temperature
33%
Environmental Impact
33%
Long-memory Noise
33%
Mathematical Statistics
33%
Numerical Methods for Stochastic Differential Equations
33%
Process Inference
33%
Differential Equation Model
33%
Power Types
33%
Stochastic Analysis
33%
Strong Consistency
27%
Jitter
22%
Hurst Exponent
22%
Hurst Parameter
16%
H1.2
16%
Non-Gaussian
16%
Drift Parameter Estimation
16%
Well-defined
16%
Random Coefficients
16%
Long Memory Process
16%
Limit Process
16%
Fitting Method
16%
Independent Copies
16%
Processed Samples
16%
Limit Theorems
16%
Asymptotic Distribution
16%
Strong Asymptotics
16%
Exponential Tempering
16%
Diffusion Coefficient
16%
Time-domain Representation
16%
Variation Types
16%
Exogenous Variables
11%
Convergence Rate
11%
Additive Noise
11%
Hurst Index
11%
Monte Carlo Analysis
11%
Consistent Estimator
11%
Application Data
11%
Random Sampling Periods
11%
