نتایج جستجو برای: state space variable

تعداد نتایج: 1509971  

Journal: :Journal of the Australian Mathematical Society. Series A. Pure Mathematics and Statistics 1992

Journal: :J. Economic Theory 2006
Aviad Heifetz Martin Meier Burkhard C. Schipper

The standard state-spaces of asymmetric information preclude non-trivial forms of unawareness (Modica and Rustichini, 1994, Dekel, Lipman and Rustichini, 1998). We introduce a generalized state-space model that allows for non-trivial unawareness among several individuals, and which satisfies strong properties of knowledge as well as all the desiderata on unawareness proposed this far in the lit...

2004
Thomas Mailund

We are often interested in finding out if a given predicate on states of a system can be satisfied in any or all of the systems reachable states. To determine this, one approach is to calculate the complete set of reachable states and evaluate the predicate on each of these states. To know which states we have already examined and which we have yet to examine—and thus knowing when we have exami...

2001
Eddie Dekel Barton L. Lipman Aldo Rustichini Todd Sarver Christopher Chambers Fabio Maccheroni Massimo Marinacci Jacob Sagi

Drew Fudenberg and two referees for helpful comments.

ژورنال: :دانش مالی تحلیل اوراق بهادار 2015
عقیق فرهادی چشمه مرواری فرهاد غفاری

در این مطالعه به بررسی و تخمین پارامترها با استفاده از مدل state space در فرم arimaپرداخته می شود . سپس با استفاده از پارامترهای تخمین زده شده و روش شبیه سازی مونت کارلو به عنوان ابزاری برای افزایش دقت پیش بینی فرآیندهای تصادفی، به پیش بینی برای کوتاه مدت، میان مدت و بلند مدت برای شاخص تپیکس پرداختیم که شامل 739 داده­ روزانه مربوط به 1 بهمن سال 1389 تا 30 بهمن سال 1392 به عنوان درون داده و نیز ...

Journal: :Journal of Circuits, Systems, and Computers 2004
George E. Antoniou

In this paper, the one-dimensional Gray–Markel lattice-ladder discrete filter structure is extended to two dimensions (2D). The proposed 2D circuit implementation has minimal number of unit delays. Based on this circuit implementation the corresponding 2D state space realization is derived. The matrices A, b, c and the scalar d of the 2D state space model are presented in generalized closed for...

Journal: :Inf. Sci. 2003
Ya-Ping Lin Xue-Yong Li

The extension of reinforcement learning (RL) to large state space has inevitably encountered the problem of the curse of dimensionality. Improving the learning efficiency of the agent is much more important to the practical application of RL. Consider learning to optimally solve Markov decision problems in a particular domain, if the domain has particular characteristics that are attributable t...

2001
Eddie Dekel Barton L. Lipman Aldo Rustichini Todd Sarver Christopher Chambers Fabio Maccheroni Massimo Marinacci

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