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Statistics for Long-Memory Processes

Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and applications for data with long-range;

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Time Series Analysis of Long Memory versus Structural Breaks

for long range dependence, a chapter with applications compares short and long memory models for financial data. The contribution of this work;

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Large Sample Inference For Long Memory Processes

procedures for long memory processes. This text makes an attempt in this direction. The authors provide in a concise style a text at the graduate;

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Time Series Analysis with Long Memory in View

, Time Series Analysis with Long Memory in View offers chapters that cover: Stationary Processes; Moving Averages and Linear Processes; Frequency;

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Statistical Inference for Financial Engineering

processes, non-linear processes, long-memory processes, locally stationary processes etc. are introduced and their optimal estimation is considered;

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Parameter Estimation in Fractional Diffusion Models

This book is devoted to parameter estimation in diffusion models involving fractional Brownian motion and related processes. For many years;

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Economic Dynamics with Memory

equations in describing economic dynamics with long memory. Generalizations of basic economic concepts, notions and methods for the economic;

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Long Memory in Economics

pedagogical way some statistical methods for studying long-range dependent processes. Furthermore, the occurrence of long-memory in economic time;

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Selected Aspects of Fractional Brownian Motion

long-memory property which is in sharp contrast with martingales and Markov processes. FBm has become a popular choice for applications where;

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Selected Aspects of Fractional Brownian Motion

long-memory property which is in sharp contrast with martingales and Markov processes. FBm has become a popular choice for applications where;

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Option Pricing with Long Memory Stochastic Volatility Models

, due to the complex structures of the long memory processes, the analytical formulas for option prices are not available yet. In this book, we;

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Superior Memory

differences in memory ability (a previously neglected topic), their relation to other cognitive processes and implications for theories concerning the;

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Spatial, Long- & Short-Term Memory

that drive plasticity, as well as describes the purported processes responsible for short- and long-term memory.;

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Oracle8I Internal Services For Waits, Latches, Locks & Memory

lays a foundation for advanced performance tuning of the Oracle database. Based on Oracle8i release 8.1, the book describes many of the;

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Long-Memory Time Series

, economerics, finance, and related fields, this book is also excellent for a beginning graduate-level course in long-memory processes or as a;

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Fundamentals of Applied Probability and Random Processes

The long-awaited revision of Fundamentals of Applied Probability and Random Processes expands on the central components that made the;

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Mathematical Statistics and Stochastic Processes

book however, both this case AND the case of dependent variables, i.e. statistics for discrete and continuous time processes, are studied. This;

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Mechanisms of Sensory Working Memory

understanding of working memory for features of stimuli devoid of verbal, phonological, or long-term memory content, such as memory for simple visual;

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Introduction To Statistical Time Series

, long memory processes, and the Kalman filter. Major topics include: Moving average and autoregressive processes Introduction to Fourier;

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Memory

Authored by the foremost researchers in cognitive psychology, the handbook Memory is an outstanding reference tool for all cognitive;

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Cognitive Neuroscience of Memory

and neural processes, and thus will provide a framework for future studies to investigate the true mechanisms of memory.;

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What Every Teacher Should Know About Learning, Memory, and the Brain

kinesthetic learners acquire and process information Working memory and short-term memory Long-term memory pathways for semantic, episodic, and;

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Long-Term Memory

of neurocortical connections, circuits, maps and their relationships with superior cognitive function; PARP1 activation for long-term memory; the effects;

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Stationary Stochastic Processes

Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind;

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Neuroimaging in Human Memory

- Learning and consolidation, Working memory control processes and storage, Long-term memory representations, and Retrieval control processes;

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Processes of Animal Memory (PLE

concerning processes of memory in animals. The theme is that animals remember and that theories of animal learning must take this into account as;

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Processes of Animal Memory (PLE

concerning processes of memory in animals. The theme is that animals remember and that theories of animal learning must take this into account as;

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