Parameter Estimation for Randomly Stopped Diffusion Processes and Neuronal Modeling PDF Download

Author: Muhammad K. Habib
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 36

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Author: L.M. Ricciardi
Publisher: Springer Science & Business Media
ISBN: 9400929757
Category : Mathematics
Languages : en
Pages : 719

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Biomathematics emerged and rapidly grew as an independent discipline in the late sixties as scientists with various backgrounds in the mathematical, biological and physical sciences gathered together to form Departments and Institutes centered around this discipline that many at that time felt should fall between the cracks of legitimate science. For various reasons some of these new institutions vanished in the mid-seventies, particularly in the U. S. , the main reason for their demise being economic. Nevertheless, good biomathematical so that the range research has been ceaselessly carried on by numerous workers worldwide of this activity appears now as truly impressive: from useful and effective mathematical statements about problems that are firmly rooted in the 'wet' reality of biology to deep theoretical investigations on outstanding basic questions. It is also interesting to take note that some ideas and theories set forth by 'paleo-biomathematicians' almost a quarter of century ago are now becoming highly appreciated also by scientists engaged in quite different research fields. For instance, neural nets is the hot topic in computer science these days! Well aware of the growing interest in this relatively new field, years back I organized a small workshop on Biomathematics: Current Status and Future Perspectives which was held at the University of Salerno during the middle of April, 1980.

Author: Joel Lance Davis
Publisher: Routledge
ISBN: 0429713053
Category : Social Science
Languages : en
Pages : 319

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In science, a few areas particularly capture the imagination because of a combination of excitement, substantial technical progress, and implicit significance in affecting the nature and quality of life. Perhaps no area of science exhibits these characteristics more abundantly than that dealing with the brain. Once shrouded in the mystical, studies in modem brain science are dramatically enhancing our understanding of brain function and its impact on learning and memory. It is perhaps the union of pragmatic and mystical aspects that makes this such an exciting arena of science. The Office of Naval Research (ONR) began an intensive effort in 1983 on the topic of the neural basis for learning and memory. This effort was aimed at providing the scientific understanding of how learning takes place. It is the expectation that a neurological understanding of learning processes will lead to the formulation of learning strategies that will significantly enhance performance. This is important in a civilian and military population faced with serious manpower problems requiring a few individuals to be more expert with technologically intensive systems. With these motivations in mind, two of us (EJW and RN) formulated a full-day symposium at the AAAS annual meeting held in New York, May 1984.

Author:
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ISBN:
Category :
Languages : en
Pages :

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Author: Institute of Mathematical Statistics
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 904

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Author: Ian W. McKeague
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

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The asymptotic behavior of the maximum likelihood estimator of a parameter in the drift term of a stationary ergodic diffusion process is studied under conditions in which the true drift function and the true noise function do not coincide with those specified by the parametric model. Originator-supplied key words include: Diffusion, Differential Equations.

Author: Robert Trappl
Publisher: World Scientific
ISBN: 9814555096
Category :
Languages : en
Pages : 1740

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The 210 articles which are divided into 18 sections in this new reference work represent the most recent findings in cybernetics and systems research. It brings together contributions from leading scientists from all over the world — Europe, North America, South America, Asia, Africa and Australia. This volume therefore gives a broad spectrum of the ongoing research worldwide.Topics covered in the 18 sections are: General Systems Methodology; Mathematical Systems Theory; Computer Aided Process Interpretation; Fuzzy Sets, Approximate Reasoning and Knowledge-based Systems; Designing and Systems; Biocybernetics and Mathematical Biology; Cybernetics in Medicine; Cybernetics of Socioeconomic Systems; Systems, Management and Organization; Cybernetics of National Development; Communication and Computers; Connectionism and Cognitive Processing; Intelligent Autonomous Systems; Artificial Intelligence; Impacts of Artificial Intelligence.

Author: Ishwar V. Basawa
Publisher: Elsevier
ISBN: 1483296148
Category : Mathematics
Languages : en
Pages : 455

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Stats Inference Stochasic Process

Author: F. Ventriglia
Publisher: Elsevier
ISBN: 1483287904
Category : Medical
Languages : en
Pages : 363

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Research in neural modeling and neural networks has escalated dramatically in the last decade, acquiring along the way terms and concepts, such as learning, memory, perception, recognition, which are the basis of neuropsychology. Nevertheless, for many, neural modeling remains controversial in its purported ability to describe brain activity. The difficulties in "modeling" are various, but arise principally in identifying those elements that are fundamental for the expression (and description) of superior neural activity. This is complicated by our incomplete knowledge of neural structures and functions, at the cellular and population levels. The first step towards enhanced appreciation of the value of neural modeling and neural networks is to be aware of what has been achieved in this multidisciplinary field of research. This book sets out to create such awareness. Leading experts develop in twelve chapters the key topics of neural structures and functions, dynamics of single neurons, oscillations in groups of neurons, randomness and chaos in neural activity, (statistical) dynamics of neural networks, learning, memory and pattern recognition.

Author: Marc Lavielle
Publisher: CRC Press
ISBN: 1482226510
Category : Mathematics
Languages : en
Pages : 380

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Wide-Ranging Coverage of Parametric Modeling in Linear and Nonlinear Mixed Effects ModelsMixed Effects Models for the Population Approach: Models, Tasks, Methods and Tools presents a rigorous framework for describing, implementing, and using mixed effects models. With these models, readers can perform parameter estimation and modeling across a whol