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Self-Inference Processes

Although self-inference processes -- the ways individuals make judgments about themselves -- have been studied in social psychology and;

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Self-Inference Processes

Although self-inference processes -- the ways individuals make judgments about themselves -- have been studied in social psychology and;

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Statistical Inference for Fractional Diffusion Processes

over a finite interval is observable. Key features: * Introduces self-similar processes, fractional Brownian motion and stochastic integration;

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Introduction to Empirical Processes and Semiparametric Inference

Kosorok's brilliant text provides a self-contained introduction to empirical processes and semiparametric inference. These powerful;

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Self-Normalized Processes: Limit Theory and Statistical Applications

Self-normalized processes are of common occurrence in probabilistic and statistical studies. A prototypical example is Student's t;

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Semimartingales and their Statistical Inference

stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class;

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Semimartingales and Their Statistical Inference

stochastic processes a well-recognized and important branch of statistics and probability. The class of semimartingales includes a large class;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

gives a coherent account of the statistical theory in infinite-dimensional parameter spaces. The mathematical foundations include self-contained;

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Bayesian Inference for Stochastic Processes

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the;

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Bayesian Inference for Stochastic Processes

This is the first book designed to introduce Bayesian inference procedures for stochastic processes. There are clear advantages to the;

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Stochastic Processes - Inference Theory

fundamental memoir on stochastic processes and related inference theory. The present volume gives a substantial account of regression analysis, both;

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Optimal Statistical Inference in Financial Engineering

Until now, few systematic studies of optimal statistical inference for stochastic processes had existed in the financial engineering;

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Point Processes and Their Statistical Inference

treatment of the theory of point processes and statistical inference for point processes-highlighting both pointprocesses on the real line and sp;

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Point Processes and Their Statistical Inference

treatment of the theory of point processes and statistical inference for point processes-highlighting both pointprocesses on the real line and sp;

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Statistical Inference in Stochastic Processes

Covering both theory and applications, this collection of eleven contributed papers surveys the role;...

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Statistical Inference for Diffusion Type Processes

refinement of the model are the key steps or building blocks involved in any rational decision making process. Stochastic processes are widely used;

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Statistical Portfolio Estimation

processes are introduced, including non-Gaussian stationary processes, nonlinear processes, non-stationary processes, and the book provides a;

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Statistical Portfolio Estimation

processes are introduced, including non-Gaussian stationary processes, nonlinear processes, non-stationary processes, and the book provides a;

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Inference for Diffusion Processes

Diffusion processes are a promising instrument for realistically modelling the time-continuous evolution of phenomena not only in the;

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Statistical Inference for Piecewise-deterministic Markov Processes

Piecewise-deterministic Markov processes form a class of stochastic models with a sizeable scope of applications: biology, insurance;

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Statistical Inference for Financial Engineering

analyzing financial time series data. In order to describe the actual financial data, various stochastic processes, e.g. non-Gaussian linear;

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Belief, Inference, and the Self-Conscious Mind

belief and inference are essentially self-conscious: to hold a belief or to make an inference is at the same time to know that one does. An;

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Inferences During Reading

important processes necessary for successful comprehension during reading. This volume features contributions by distinguished researchers;

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Bayesian Analysis of Stochastic Process Models

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified;

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Large Sample Inference For Long Memory Processes

in network traffic data while in finance the phenomenon of strong dependence was established by dramatic empirical success of long memory processes;

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Transparency and Self-Knowledge

Alex Byrne sets out and defends a theory of self-knowledge-knowledge of one's mental states. Inspired by Gareth Evans' discussion of self;

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Transparency and Self-Knowledge

Alex Byrne sets out and defends a theory of self-knowledge-knowledge of one's mental states. Inspired by Gareth Evans' discussion of self;

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