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Stochastic ProcessesComputer SimulationModels, BiologicalModels, StatisticalMarkov ChainsModels, GeneticBiological EvolutionPopulation DynamicsProbabilityEcosystemModels, TheoreticalMonte Carlo MethodEvolution, MolecularAlgorithmsPhylogenySelection, GeneticTime FactorsGenetic VariationMutationKinetics
MarkovCourse in Stochastic ProcessesProbabilityDynamicalDifferential EquationsFiltering TheoryTheoryDissertation1969Bistable1997VariationalAsymptoticEllipticResonanceOptimizationPredictionGaussian processesPhysFiniteFlowsDiffusionTheoreticalAsymmetricStatistical MethodsComputationModelsAlgorithmsAnalysisBrownianIntroductionPhenomenaAcademic PressSignalSpinModelApproachEquationRandomJournalSystemsMechanisticContextNetworksDataIndependentBasisCentral
Markov2
  • Markov process Continuous-time Markov process Master equation Detailed balance Graph theory Semi-Markov process van Kampen, N. G. (1981). (wikipedia.org)
  • In the absence of periodic forcing this latter equation defines a particular type of Markov process known as diffusion process: The variable \(x\) realizes, for most of the time, small scale excursions around \(x_+\) or \(x_-\ ,\) which are interrupted every now and then by noise-driven abrupt transitions from \(x_+\) to \(x_-\) or vice versa across the unstable state \(x_0\ ,\) which constitutes a barrier of some sort. (scholarpedia.org)
Course in Stochastic Processes3
Probability3
  • Matrix A {\displaystyle \mathbf {A} } can also represent birth and death, meaning that probability is injected (birth) or taken from (death) the system, where then, the process is not in equilibrium. (wikipedia.org)
  • Probability and random processes / Geoffrey R. Grimmett and David R. Stirzaker. (iitbbs.ac.in)
  • The Center for Applied Probability at Georgia Tech will hold a Special Topic Two-Day Workshop focusing on decision processes, entitled New Directions in Decision Processes , on February 23--24, 1996. (gatech.edu)
Dynamical3
  • In physics, chemistry and related fields, a kinetic scheme is a network of states and connections between them representing the scheme of a dynamical process. (wikipedia.org)
  • In its classical setting stochastic resonance deals with bistable systems, a class of nonlinear dynamical systems that are encountered in a wide range of phenomena across different scientific fields. (scholarpedia.org)
  • Amol Aggarwal , Dynamical stochastic higher spin vertex models , Selecta Math. (ams.org)
Differential Equations3
  • I. Babuška, R. Tempone and G.E. Zouraris, Galerkin finite element approximations of stochastic elliptic partial differential equations. (esaim-m2an.org)
  • N. Ikeda and S. Watanabe, Stochastic Differential Equations and Diffusion Processes , North-Holland Mathematical Library, 24. (aimsciences.org)
  • H. Kunita, Stochastic Flows and Stochastic Differential Equations , Cambridge Studies in Advanced Mathematics, 24. (aimsciences.org)
Filtering Theory1
  • Stochastic Processes and Filtering Theory. (ametsoc.org)
Theory3
  • Evolutionary Processes and Theory. (wikipedia.org)
  • Although he began his academic career as a physical geography (even then working on climate change) he will best remembered for his pioneering work on settlement theory, gravity modelling and stochastic processes generally for map description. (regionalscience.org)
  • Coloured stochastic vertex models and their spectral theory. (ams.org)
Dissertation2
  • His dissertation was titled "The Optimal Control of Discrete Stochastic Processes. (nae.edu)
  • Dissertation title: The Transient Behavior of a Two-Dimensional Stochastic Process. (wsu.edu)
19691
  • Epstein, E. S., 1969: Stochastic dynamic prediction. (ametsoc.org)
Bistable1
  • In order to solve output saturation problems found in traditional stochastic resonance methods and to improve the diagnosis ability of weak faults, a new piecewise nonlinear asymmetric bistable stochastic resonance (PNABSR) method is proposed. (mdpi.com)
19971
  • emph{Stochastic Processes and Their Application}, 69 (1997), 259-273. (uni-muenchen.de)
Variational2
  • We show that the Navier-Stokes as well as a random perturbation of this equation can be derived from a stochastic variational principle where the pressure is introduced as a Lagrange multiplier. (aimsciences.org)
  • X. Chen, A. B. Cruzeiro and T. Ratiu, Stochastic variational principles for dissipative equations with advected quantities, arXiv: 1506.05024 . (aimsciences.org)
Asymptotic2
  • Moreover, we also investigate the stochastic asymptotic stability of disease free equilibria and endemic equilibria of this model. (scirp.org)
  • Xie, X. , Ma, L. and Xu, J. (2017) Asymptotic Behavior and Stability of Stochastic SIR Model with Variable Diffusion Rates. (scirp.org)
Elliptic1
  • I. Babuška, R. Tempone and G.E. Zouraris, Solving elliptic boundary value problems with uncertain coefficients by the finite element method: The stochastic formulation. (esaim-m2an.org)
Resonance5
  • This model uses a left and right potential function with an asymmetrical shape, which makes it easier to induce stochastic resonance phenomena. (mdpi.com)
  • Broadly speaking, stochastic resonance is a mechanism by which a system embedded in a noisy environment acquires an enhanced sensitivity towards small external time-dependent forcings, when the noise intensity reaches some finite level. (scholarpedia.org)
  • The concept of stochastic resonance was invented in 1981-82 in the rather exotic context of the evolution of the earth's climate. (scholarpedia.org)
  • The search of a response to this question led to the concept of stochastic resonance . (scholarpedia.org)
  • Starting in the late 1980's the ideas underlying stochastic resonance were taken up, elaborated and applied in a wide range of problems in physical and life sciences. (scholarpedia.org)
Optimization1
  • Stochastic optimization : Stochastic models in operations research / Daniel P. Heyman, Matthew J. Sobel. (iitbbs.ac.in)
Prediction1
  • Stochastic relational models for discriminative link prediction[C]//Proceedings of the 19th International Conference on Neural Information Processing Systems. (hrbeu.edu.cn)
Gaussian processes1
  • A. Naish-Guzman, S.B. Holden, Robust regression with twinned gaussian processes, in: Advances in Neural Information Processing Systems. (crossref.org)
Phys1
  • Chikashi Arita , Arvind Ayyer , Kirone Mallick , and Sylvain Prolhac , Generalized matrix ansatz in the multispecies exclusion process-the partially asymmetric case , J. Phys. (ams.org)
Finite1
  • H.G. Matthies and C. Bucher, Finite elements for stochastic media problems. (esaim-m2an.org)
Flows1
  • As a theoretician, Les Curry was a modeler, using stochastic analysis to delvep deeply into processes, especially economic, that produce the patterns and flows of the world. (regionalscience.org)
Diffusion3
  • Diffusion processes and their sample paths" , Acad. (encyclopediaofmath.org)
  • In this paper, we propose random fluctuation on contact and recovery rates in deterministic SIR model with disease deaths in nonparametric manner and derive a new stochastic SIR model with distributed time delay and general diffusion coefficients. (scirp.org)
  • Along these clues, we propose a stochastic SIR model with deaths and varying contact and recovery rates, where the introduced model covers general diffusion coefficients (functional contact and recovery rates). (scirp.org)
Theoretical1
  • Upon graduating from the Kharkiv State University he started to work in the Kharkiv Institute of Physics and Thechnology where he passed the way from a junior researcher (1961) to the head of the theoretical department (1981). (lviv.ua)
Asymmetric1
  • Guillaume Barraquand , Alexei Borodin , Ivan Corwin , and Michael Wheeler , Stochastic six-vertex model in a half-quadrant and half-line open asymmetric simple exclusion process , Duke Math. (ams.org)
Statistical Methods1
  • Dr. Wachs has 20 years of experience in the application of statistical methods to optimize product designs and manufacturing processes-and to assess product liability risk. (integral-concepts.com)
Computation1
  • Constructive computation in stochastic models with applications : the RG-factorization / Quan-Lin Li. (iitbbs.ac.in)
Models3
  • It can readily be embedded in extended models of the complete HIV-1 reverse transcription process, or analogous processes in other viruses and help to guide drug development and improve our understanding of the mechanisms of resistance development during treatment. (plos.org)
  • bibitem{Barndorff-Nielsen and Shephard 2002*} \textsc{Barndorff-Nielsen, O.E. and Shephard, N.} Econometric analysis of realised volatility and its use in estimating stochastic volatility models. (uni-muenchen.de)
  • Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control. (integral-concepts.com)
Algorithms1
  • Others have emphasized the importance of the principles and algorithms of information-processing by behavioral modules which are then used as constraints on the search for the relevant neural mechanisms. (springer.com)
Analysis5
  • Seminar on Stochastic Analysis, Random Fields and Applications VI: The Trace Formula for the Heat. (deepdyve.com)
  • Seminar on Stochastic Analysis, Random Fields and Applications VI The Trace Formula for the Heat Semigroup with Polynomial Potential %22&body=%0AI%20found%20an%20article%20you%20might%20be%20interested%20in. (deepdyve.com)
  • Some aspects of language processing revealed through the analysis of acquired aphasia: the lexical system. (uni-bielefeld.de)
  • In other words, whereas the explanatory strategy favored by Markram at the time considers the identification and simulation of the brain mechanisms underpinning different cognitive phenomena of primal importance, Sompolinsky sees the primary key for explaining cognitive phenomena in an analysis of the computational processes that are at the heart of these phenomena. (springer.com)
  • This averaging effect hampered the analysis of finer regulatory mechanisms at the single-cell level, the fundamental unit for any fate decision process. (lu.se)
Brownian2
  • Our main assumption is that the volatility is deterministic or stochastic but driven by a Brownian motion independent of the stock. (uni-muenchen.de)
  • Subordinated Brownian motion: last time the process reaches its supremum. (wsu.edu)
Introduction2
Phenomena1
  • Its main hypothesis is that a model of a cognitive system is satisfactory and explanatory to the extent that it bridges phenomena at multiple mechanistic levels, such that at least several of these mechanistic levels are shown to implement computational processes. (springer.com)
Academic Press1
Signal1
Spin1
  • Alexei Borodin , Stochastic higher spin six vertex model and Macdonald measures , J. Math. (ams.org)
Model3
  • A stochastic model of retinotopy: a self organizing process. (uni-bielefeld.de)
  • MapReduce has become increasingly popular as a powerful parallel data processing model. (ncsu.edu)
  • Between the stochastic six vertex model and Hall-Littlewood processes. (ams.org)
Approach1
  • elm Optimal resource allocation in stochastic activity networks via the electromagnetism approach: a platform implementation in Java. (ncsu.edu)
Equation1
  • G. L. Eyink , Stochastic least-action principle for the incompressible Navier-Stokes equation, Physica D , 239 (2010), 1236-1240. (aimsciences.org)
Random1
  • Combettes, P.L., Pesquet, J.C.: Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping. (springer.com)
Journal1
  • Mixed membership stochastic blockmodels[J]. Journal of machine learning research, 2008, 9:1981-2014. (hrbeu.edu.cn)
Systems3
  • Moritz, R. E., and A. Sutera, 1981: The predictability problem: Effects of stochastic perturbations in multiequilibrium systems. (ametsoc.org)
  • To deploy MapReduce as a data processing service over open systems such as service oriented architecture, cloud computing, and volunteer computing, we must provide necessary security mechanisms to protect the integrity of MapReduce data processing services. (ncsu.edu)
  • Dr. Rothman has been helpful in the implementation of processes to improve systems in both manufacturing and service sectors. (integral-concepts.com)
Mechanistic1
  • Downloaded from plays a mechanistic role in cellular decision-making processes ( a ) 2 during differentiation is currently the object of intense study. (lu.se)
Context2
  • Finally, the quality control technical issues for kinematic GPS positioning are again raised within the context of an overall scheme that includes the rover (user) GPS receiver and base station (reference) receiver, the data link between the two, as well as the data processing for high precision carrier phase-based positioning. (tum.de)
  • doing as a new cart to color into when Rated, and always as a new context, it requires the Processes and series of invalid chemical Additions. (joerissens.de)
Networks1
  • Perros, H. G., On the blocking process in queuing networks, European J. Operations Res. (zbmath.org)
Data4
  • The procedure of data screening, position computations, result evaluation and quality assurance has generally been an off-line (as well as iterative) process. (tum.de)
  • With the development of precise 'on-the-fly' (OTF) GPS positioning techniques it is no longer possible to process (and re-process) GPS data in post-mission mode until the positioning quality is assured. (tum.de)
  • Our analytical study and experimental results show that SecureMR can ensure data processing service integrity while imposing low performance overhead. (ncsu.edu)
  • Related Concepts processing issues, and examines recent changes affecting the data and the by Donna L. Hoyert, Ph.D., Division of Vital Statistics impact of the changes on the statistics for these women. (cdc.gov)
Independent1
  • The terminal event is potentially related to recurrent events while the censoring process is an independent nuisance that bears on the total observation time i.e. on the sum of the successive gap times. (hmamedicalclinic.com)
Basis1
  • Thus our method provides the means to build a circuit diagram from recorded spike trains, thereby providing a basis for elucidating the differences in information processing in different brain regions. (nature.com)
Central1