Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
|
Buy Now
Sparse Graphical Modeling for High Dimensional Data - A Paradigm of Conditional Independence Tests (Hardcover)
Loot Price: R2,670
Discovery Miles 26 700
|
|
Sparse Graphical Modeling for High Dimensional Data - A Paradigm of Conditional Independence Tests (Hardcover)
Series: Chapman & Hall/CRC Monographs on Statistics and Applied Probability
Expected to ship within 9 - 15 working days
|
This book provides a general framework for learning sparse
graphical models with conditional independence tests. It includes
complete treatments for Gaussian, Poisson, multinomial, and mixed
data; unified treatments for covariate adjustments, data
integration, and network comparison; unified treatments for missing
data and heterogeneous data; efficient methods for joint estimation
of multiple graphical models; effective methods of high-dimensional
variable selection; and effective methods of high-dimensional
inference. The methods possess an embarrassingly parallel structure
in performing conditional independence tests, and the computation
can be significantly accelerated by running in parallel on a
multi-core computer or a parallel architecture. This book is
intended to serve researchers and scientists interested in
high-dimensional statistics, and graduate students in broad data
science disciplines. Key Features: A general framework for learning
sparse graphical models with conditional independence tests
Complete treatments for different types of data, Gaussian, Poisson,
multinomial, and mixed data Unified treatments for data
integration, network comparison, and covariate adjustment Unified
treatments for missing data and heterogeneous data Efficient
methods for joint estimation of multiple graphical models Effective
methods of high-dimensional variable selection Effective methods of
high-dimensional inference
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.