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Predicate transformer semantics were introduced by Edsger Dijkstra in his seminal paper "Guarded commands, nondeterminacy and formal derivation of programs".They define the semantics of an imperative programming paradigm by assigning to each statement in this language a corresponding predicate transformer: a total function between two predicates on the state space of the statement.
Temporal difference (TD) learning refers to a class of model-free reinforcement learning methods which learn by bootstrapping from the current estimate of the value function. These methods sample from the environment, like Monte Carlo methods , and perform updates based on current estimates, like dynamic programming methods.
In mathematical economics, the Arrow–Debreu model is a theoretical general equilibrium model. It posits that under certain economic assumptions ( convex preferences , perfect competition , and demand independence), there must be a set of prices such that aggregate supplies will equal aggregate demands for every commodity in the economy.
Even though single factor models such as Vasicek, CIR and Hull–White model has been devised for pricing, recent research has shown their potential with regard to forecasting. In Orlando et al. (2018, [ 3 ] 2019, [ 4 ] [ 5 ] ) was provided a new methodology to forecast future interest rates called CIR#.
The linear factor model structure of the APT is used as the basis for evaluating asset allocation, the performance of managed funds as well as the calculation of cost of capital. [3] Furthermore, the newer APT model is more dynamic being utilised in more theoretical application than the preceding CAPM model.
Decision Tree Model. In computational complexity theory, the decision tree model is the model of computation in which an algorithm can be considered to be a decision tree, i.e. a sequence of queries or tests that are done adaptively, so the outcome of previous tests can influence the tests performed next.
The one-factor-at-a-time method, [1] also known as one-variable-at-a-time, OFAT, OF@T, OFaaT, OVAT, OV@T, OVaaT, or monothetic analysis is a method of designing experiments involving the testing of factors, or causes, one at a time instead of multiple factors simultaneously.
The concept of boundaries can be linked to Coase's understanding of The Nature of the Firm, as it recognises that transaction costs are a significant factor in a firm's decision to outsource, or internally produce, but also considers other influences specific to firms, such as their relevant capabilities, and governance decisions. [30]