INIS
stochastic processes
100%
brownian movement
78%
least square fit
75%
noise
70%
randomness
64%
distribution
62%
differential equations
60%
simulation
58%
diffusion
54%
solutions
51%
chile
49%
approximations
43%
variations
40%
asymptotic solutions
40%
convergence
39%
equations
37%
fisheries
36%
data
33%
heat
32%
hybrids
32%
learning
32%
expansion
29%
values
25%
hydrogen 1
24%
calculation methods
24%
additives
20%
trajectories
17%
whales
16%
aggregation
16%
sheets
16%
sampling
16%
fluctuations
16%
food
16%
compacts
16%
symmetry
16%
protected areas
16%
fishes
16%
environment
16%
interactions
16%
power
16%
topology
16%
seas
16%
surfaces
16%
maximum-likelihood fit
16%
populations
16%
environmental effects
16%
fins
16%
modeling
16%
density
14%
performance
14%
Mathematics
Fractional Brownian Motion
72%
Stochastic Differential Equation
70%
Parameter Estimation
64%
Gaussian Distribution
56%
Least Square
54%
Hurst Parameter
45%
Square Estimator
40%
Bayesian
32%
random time δ
32%
Heat Equation
32%
Brownian Motion
27%
Central Limit Theorem
24%
Approximate Bayesian Computation
24%
Stochastics
24%
drift parameter μ
24%
Exogenous Variable
24%
Type Estimator
21%
Conditionals
20%
Discrete Time
16%
Bayesian Inference
16%
Hitting Time
16%
Numerical Scheme
16%
Variable Value
16%
Asymptotic Expansion
16%
Quadratic Variation
16%
Spatial Variation
16%
Random Coefficient
16%
Long-Memory Process
16%
Limit Process
16%
Linearization Method
16%
Rosenblatt
16%
Goodness of Fit Test
16%
Markov Chain Monte Carlo
16%
Time Model
16%
Simulation Study
16%
Skorohod Topology
16%
Independent Copy
16%
Discretization
16%
Stochastic Process
16%
Missing Value
16%
Limit Theorem
16%
Least Square Estimation
16%
Random Walk
16%
Deep Learning Method
16%
Order Taylor Expansion
13%
Numerical Example
13%
Malliavin Calculus
13%
Linear Regression Model
13%
Hurst Index
13%
Hurst-Exponent
10%
Keyphrases
Stochastic Differential Equations
70%
Fractional Brownian Motion
64%
Hermite
48%
Hurst Parameter
32%
Parameter Estimation
32%
H1.2
32%
Fractional Poisson Process
32%
Ornstein-Uhlenbeck Process
32%
Least Squares Estimator
24%
Stochastic Heat Equation
24%
Non-Gaussian
24%
Convergence Rate
21%
Exogenous Variables
21%
Engraulis Ringens
16%
Time-driven
16%
Anchovy
16%
Northern Chile
16%
Approximate Bayesian Computation
16%
Numerical Scheme
16%
Bayesian Inference
16%
First-order Taylor Expansion
16%
Local Linearization Method
16%
Quadratic Variation
16%
Heat Equation
16%
Oscillating Brownian Motion
16%
Discontinuous Coefficients
16%
Diffusion Parameters
16%
Rosenblatt Process
16%
Markov Chain Monte Carlo
16%
Parameter Dependence
16%
Fin Whale
16%
Balaenoptera Physalus
16%
Heteroscedastic
16%
One-parameter
16%
Reaction Time
16%
Sea Surface Temperature
16%
Discrete-time Model
16%
Non-axisymmetric
16%
Chile
16%
Hermite Process
16%
Least Squares Estimation
16%
High-frequency Observations
16%
Environmental Impact
16%
Drift Parameter Estimation
16%
Whale-watching
16%
Short-term Behavior
16%
Marine Protected Areas
16%
Long-memory Noise
16%
Choice Task
16%
GARCH-X
16%
