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Information Theoretic Limits on Learning Stochastic Differential Equations
drift high dimensional vector interaction coefficients
2011/3/31
Consider the problem of learning the drift coefficient of a stochastic differential equation from a sample path. In this paper, we assume that the drift is parametrized by a high dimensional vector.
An algorithmic information-theoretic approach to the behaviour of financial markets
nancial markets closing price movements stock market algorithmic probability
2010/10/21
Using frequency distributions of daily closing price time series of several financial market indexes, we investigate whether the bias away from an equiprobable sequence distribution found in the data...
An information theoretic approach to statistical dependence: copula information
An information theoretic statistical dependence copula information
2010/11/3
We discuss the connection between information and copula theories by showing that a copula can be employed to decompose the information content of a multivariate distribution into marginal and depende...