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「Stochastic」の共起表現一覧(1語右で並び替え)

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Terry Lyons, FRS, FRSE, stochastic analysis
He works on stochastic analysis, stochastic differential equations
His main field of interest is stochastic analysis, including stochastic control, opti
) is a mathematician working in the field of stochastic analysis, in particular stochastic partial d
is a British mathematician, specializing in stochastic analysis.
ameters are today successfully used for both stochastic and process-based modelling, the only remain
ostow, Ph.D. It has used the cepstral N-gram stochastic and language-level models of CMU Sphinx to e
Statistical Dynamics: A Stochastic Approach to Nonequilibrium Thermodynamics, 1
Stochastic Calculus and Applications (Springer-Verlag,
Brownian Motion and Stochastic Calculus by Ioannis Karatzas and Steven E. S
l chemist who pioneered numerical methods in stochastic calculus, principally the Gillespie algorith
Representation Theory, Quantum Field Theory, Stochastic Calculus, Spectral Geometry, Algebraic Numbe
model), as well as his work on discrete time stochastic calculus.
ars (SynCFG or SCFG; not to be confused with stochastic CFGs constitute a formal model of natural la
of chemical or biological sensing where the stochastic component, noise, of the sensor signal is an
Among these are stochastic, context sensitive, and parametric grammars.
Stochastic context-free grammar
ameter estimation on hidden Markov models to stochastic context-free grammars.
he beam emittance include radiation damping, stochastic cooling, and electron cooling.
elerator physics, including the first use of stochastic cooling, and it held the record for luminosi
ough some digital functions have very simple stochastic counterparts (such as the translation betwee
For instance, stochastic decoding requires the computation of the fun
ergent trajectories, which would require the stochastic description.
to probability, to the numerical analysis of stochastic differential equations, and to quantitative
His PhD thesis was entitled, Functional stochastic differential equations: mathematical theory
eWitt-Morette, 1985, in the area of applying stochastic differential equations to statistical mechan
that is generally focused on the analysis of stochastic dynamical systems arising in biology, chemis
The risk of stochastic effects due to radiation exposure can be qua
t electromagnetic wave field hypothesized in Stochastic Electrodynamics have a plausible basis for f
prone to the effects of human activities (or stochastic events, the impact of which is increased by
rt for IP Traceback, which proposed a simple stochastic extension to internet routers that would ena
haracterized as resulting from the action of stochastic factors.
a corresponding pattern is generated as the stochastic fingerprint of the sensed agent.
"On the Geometry of Diffusion Operators and Stochastic Flows".
of the electrochemical potential due to the stochastic fluctuations of the ionic concentration grad
k has been applied to applications including stochastic fluid dynamics, stochastic finite elements,
beck compactification in algebraic geometry, stochastic games, inductive algebras of harmonic analys
A central goal in the study of stochastic GDS is to be able to derive reduced models.
arch interests include time series analysis, stochastic global optimisation, probabilistic methods i
His monographs include Stochastic Global Optimization, published in 2008 by Sp
An implementation of stochastic gradient boosting is available in STATISTICA
In this respect, it differs from stochastic grammar, which considers grammaticality as a
onjecture that quantum behavior is caused by stochastic gravitational radiation of a cosmic origin.
smallest remaining niche, making this model stochastic in nature.
variations are a behavioural function of the stochastic interest rate.
Stochastic inversions address this problem by generatin
Given H, we can generate G by making H stochastic, irreducible, and aperiodic.
ics related to chaos theory and is useful in stochastic measurement and simulations for random or ps
Stochastic metapopulation models take into account stoc
tempt to mimic protein folding or apply some stochastic method to search possible solutions (i.e., g
Quantifying Uncertainty in a Stochastic Model of Vocabulary Evolution.
His second article that year delineated a stochastic model of Brownian motion.
f and was Editor-in-chief of the book series Stochastic Modeling, published by Chapman and Hall from
ypes of modeling include dynamic systems and stochastic modeling.
er reported the results of his Ph.D. work on stochastic modelling in a seminal paper in 1980.
es", and is associate editor of the journals Stochastic Models and Queuing Systems.
to physics-based, neurobiologically-inspired stochastic models.
ization methodologies should account for the stochastic nature of random parameters in systems.
These stochastic natures can be described by their probabilis
tional probability density of the state of a stochastic non-linear dynamical system, given noisy mea
y, UK, with a thesis entitled Experiments in Stochastic Nonlinear Dynamics.
Stochastic Optimal Control: The Discrete-Time Case
al decisions, including optimal stopping and stochastic optimization.
He developed and popularized the stochastic oscillator, which is one of the core indicat
andomness, rather than using chaos theory or stochastic perturbations-implies that explicit computat
ethod can easily incorporate the concepts of stochastic predictions, using the Program Evaluation an
Statistical natural language processing uses stochastic, probabilistic and statistical methods, espe
of a set A with respect to an instance of a stochastic process is the time until the stochastic pro
Amitosis is a stochastic process where unlike in mitosis, there is no
ability measure on the sample space Ω of the stochastic process
mance Evaluation Process Algebra (PEPA) is a stochastic process algebra designed for modelling compu
verall idea is that the maximum entropy rate stochastic process that satisfies the given constant au
oked upon as an application of the notion of stochastic process conceived as a physical entity; e.g.
A stochastic process has the Markov property if the condi
odels are finite-state and so give rise to a stochastic process, specifically a continuous-time Mark
The Bernoulli scheme, as any stochastic process, may be viewed as a dynamical system
to maximize the entropy rate of the implied stochastic process.)
The Bernoulli scheme is a stationary stochastic process; conversely, all finite stationary s
Stochastic Processes and Statistical Inference.
Elements of Applied Stochastic Processes (Wiley, 2002).
Time reversibility is an attribute of some stochastic processes and some deterministic processes.
ontributions to control theory, game theory, stochastic processes and mathematical finance.
Closely related stochastic processes include the voter model, which was
Fluid Dynamics, Non-linear waves, Stability, Stochastic Processes in general and Random Graphs, Oper
n Cinlar and Ronald Getoor, the "Seminars on Stochastic Processes", a popular annual national meetin
His work is concerned with stochastic processes, particularly specializing in stoc
An Introduction to Stochastic Processes, (1955) ISBN 0-521-04116-3
is early research was in probability theory, stochastic processes, time series analysis, and statist
FortSP is a software package for solving stochastic programming (SP) problems.
d like to emphasize that, speaking about the stochastic properties of a technical system within the
ieved that with Arnold Renderer, an unbiased stochastic ray tracer.
Smaller populations may go extinct for stochastic reasons and, since small population are more
icist notable for discovering suprathreshold stochastic resonance (SSR) and its application to cochl
ium dynamical systems and, in particular, on stochastic resonance.
mer, B. R. Davis, and D. Abbott "A review of stochastic resonance: circuits and measurement," IEEE T
He has made contributions to stochastic scheduling, Markov decision processes, queue
d preamplifier(s) to extract and amplify the stochastic signal components, which are usually microsc
Often the power density spectrum of the stochastic signal is used as output pattern however FES
Stochastic simulation based on emulated protocol stacks
Queueing Theory (Springer Verlag, 1997) and Stochastic storage processes (Springer, 1998).
lt because any complex technical system is a stochastic system and the characteristics of this syste
imulation, performance analysis, behavior of stochastic systems, optimization and visualization.
lterra's theory of nonlinear functionals for stochastic systems.
test monkey is technically known to conduct stochastic testing, which is in the category of black-b
Problems of general stochastic theory and martingale theory
This specific example with stochastic update sequence illustrates two general fact
recent work by Joan Bresnan) uses stochastic versions of optimality theory.
                                                                                                    


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