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Wiley Series in Probability and Statistics

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3
BOOKS
1,134
PAGES
~18h 54min
READING TIME

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"Statistical Inference for Fractional Diffusion Processes looks at statistical inference for stochastic processes modeled by stochastic differential equations driven by fractional Brownian motion. Other related processes, such as sequential inference, nonparametric and non parametric inference and parametric estimation are also discussed"--

How the series evolves

beginning
Statistical inference for fractional diffusion processes
0.0· tough start
finale
Applied Bayesian modeling and causal inference from incomplete-data perspectives
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overall
0.0· maybe series needed more care

Books in this Series

Statistical inference for fractional diffusion processes

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"Statistical Inference for Fractional Diffusion Processes looks at statistical inference for stochastic processes modeled by stochastic differential equations driven by fractional Brownian motion. Other related processes, such as sequential inference, nonparametric and non parametric inference and parametric estimation are also discussed"--

Understanding Robust and Exploratory Data Analysis

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This book is a classic. Even though it was written prior to the personal computer revolution, it's relevance is strong. The authors are fantastic at giving the reader a true feel for the analytical tools and approaches. This may not be a how-book for today, since many of the tools are now pre-programmed into software packages, but it is an excellent resource for developing the -intuitive- feeling of the subject. The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensiveeditions, Wiley hopes to extend the life of these important works by making themavailable to future generations of mathematicians and scientists.