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Studying the spread of phenomena in social networks is critical but still not fully solved. Existing influence max-imization models assume a static network, disregarding its evolution over time. We in...
We introduce a family of generalized-method-of-moments estimators of the parameters of a continuous-time Markov process observed at random time intervals. The results include strong consistency, asymp...
Optimal Portfolio Rules in Continuous Time When the Nonnegativity Constraint on Consumption is Binding.
This paper is a note on the use of Bayesian nonparametric mixture models for continuous time series. We identify a key requirement for such models, and then establish that there is a single type of mo...
This paper considers a sequence of discrete-time random walk markets with a safe and a single risky investment opportunity, and gives conditions for the existence of arbitrages or free lunches with va...
We prove that in smooth Markovian continuousime economies with potentially complete asset markets, Radner equilibria with endoge-nously complete markets exist.
It is well known that mean-variance portfolio selection is a time-inconsistent optimal control problem in the sense that it does not satisfy Bellman's optimality principle and therefore the usual dyna...
This work presents novel continuous-time delta-sigma modulator architectures with low-power consumption and improved signal transfer functions which are suitable for wideband A/D conversion in wireles...
Stochastic treatments of magnetic resonance spectroscopy and optical spectroscopy require evaluations of functions like i int_0^t Q(s)ds)>, where t is time, Q(s) is the value of a stochastic proc...
The Markowitz problem consists of finding in a financial market a self-financing trading strategy whose final wealth has maximal mean and minimal variance. We study this in continuous time in a gener...
This article compares the reliability of a discrete-time and a continuous-time Markov chain model for estimating credit risk and for investigating loans of Chiao Tung Bank in Taiwan. The continuous-ti...
We study properties and parameter estimation of finite-state homogeneous continuous-time bivariate Markov chains.
We develop a nonparametric regression-based goodness-of-fit test for multifactor continuous-time Markov models using the conditional characteristic function, which often has a convenient closed form o...
We develop a nonparametric regression-based goodness-of-fit test for multifactor continuous-time Markov models using the conditional characteristic function, which often has a convenient closed form o...
We formulate a model of utility for a continuous time framework that captures the decision-maker's concern with ambiguity or model uncertainty. The main novelty is in the range of model uncertainty th...

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