continuous-time deterministic processes
Piecewise Deterministic Markov Processes for Continuous Time Monte Carlo
... piecewise deterministic processes can be used to derive continuous-time versions of sequential Monte Carlo and MCMC ...the continuous-time SMC methods seem particularly ...
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DISCRETE TIME REPRESENTATION OF CONTINUOUS TIME ARMA PROCESSES
... univariate continuous time ARMA(2, 1) process with a flow ...as continuous time processes with MA errors have received attention as general- izations of the martingale ...is ...
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Evolutionary game of coalition building under external pressure
... in continuous time and the players have a common reward to ...player) deterministic optimization problem in continuous time, in the infinite dimensional state space ` 1 ...Markov ...
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Monte Carlo filtering of piecewise deterministic processes
... We present efficient Monte Carlo algorithms for performing Bayesian inference in a broad class of models: those in which the distributions of interest may be represented by time marginals of ...
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Low-frequency estimation of continuous-time moving average Lévy processes
... with a deterministic kernel K and a Lévy process L. Especially the estimation of the Lévy measure ν of L from low-frequency observations of the process Z is considered. We construct a consistent estimator, derive ...
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Modelling road traffic assignment as a day-to-day dynamic, deterministic process: a unified approach to discrete- and continuous-time models.
... Our approach in the present paper has not been to present day-to-day dynamics as a replacement for equilibrium analysis, but rather as an additional and extended option: equilibrium sits within the framework of ...
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Variance Optimization for Continuous Time Markov Decision Processes
... of continuous-time Markov decision processes, which is different from the mean-variance optimiza- tion problem previously ...the deterministic stationary policy f and the Poisson equation, a ...
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Uniform Assymptotics in the Average Continuous Control of Piecewise Deterministic Markov Processes : Vanishing Approach*,**
... for continuous control problems with long run average costs using a uniform vanishing ...long time average control problem is slightly different in our ...
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Randomized and Relaxed Strategies in Continuous-Time Markov Decision Processes
... stationary deterministic strategies, is the intersection of stationary π-strategies and ...simple deterministic Markov ξ-strategies, and also a subset of stationary standard ...
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Piecewise deterministic Markov processes for continuous time Monte Carlo
... on continuous-time, rather than discrete-time, Markov ...Interestingly, continuous-time algorithms seem particularly well suited to Bayesian analysis in big-data settings as they need ...
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Stochastic Economic Dynamics
... basic deterministic one-sector and two-sector growth models to a stochastic context in continuous time, using Wiener processes for the description of various sources of uncertainty in the ...
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Population processes in estuarine littoral nematodes
... 3 Reports of deterministic mechanisms 6 1.4 Observations of both deterministic and stochastic processes 2.1 Environmental conditions at study sites 2.2 Density of 10 species of nematodes[r] ...
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Modeling long range dependent Gaussian processes with application in continuous time financial models
... continuous–time version of the Gauss-Whittle objective function. Both the consistency and the asymptotic normality of the estimators of the parameters are established in Theorems 2.1 and 2.2 below. As an ...
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Hawkes processes for continuous time sequence classification : an application to rumour stance classification in Twitter
... Little work has been done on stance classifica- tion of rumour tweets. Qazvinian et al. (2011) in- troduced a system for classifying rumour tweets and Lukasik et al. (2015a) considered this problem in a setting where the ...
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Maximum likelihood estimation for stochastic processes - a martingale approach
... situations continuous observation may be an idealization that cannot be practically ...for processes which have continuous sample paths, it may be a very good approximation to act as if the process ...
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Measurement of Construction Processes for Continuous Improvement
... This chapter discusses the methodology utilized to conduct this research study. The data for this research was collected through the use of four (4) questionnaires targeting contractors and clients in the state of ...
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Numerical methods for piecewise deterministic Markov processes with boundary
... Piecewise Deterministic Markov Processes must now be tested on different PDMPs, some of them related to practical cases and others in order to un- derstand their ...
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Discrimination between deterministic trend and stochastic trend processes
... 2.Caiado, J., Crato, N. and Pe˜ na, D. (2005). ”A periodogram-based metric for time series classification”, Computational Statistics & Data Analysis (forthcoming). 3.Enders, W. (1995). Applied Econometric ...
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Utility maximization, risk aversion, and stochastic dominance
... One can also extend Theorem 4.1 to somewhat more general models of the risky asset S. Indeed, the proof of Theorem 4.1 and corresponding auxiliary results only use the inde- pendence of the increments of the Lévy ...
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Volume 38: International Conference on Graph Transformation 2010 - Doctoral Symposium
... The average simulation runtime was 30 minutes representing 3 hours of simulated time based on the average number of times the clock tick rule was applied (198.4125 minutes). The number of simulation steps was ...
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