Statistics

Statistical Theory & Methods

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Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach

1st Edition

Robert P. Haining, Guangquan Li
February 07, 2020

Modelling Spatial and Spatial-Temporal Data: A Bayesian Approach is aimed at statisticians and quantitative social, economic and public health students and researchers who work with small-area spatial and spatial-temporal data. It assumes a grounding in statistical theory up to the standard linear...

Spatial Cluster Modelling

1st Edition

Andrew B. Lawson, David G.T. Denison
January 29, 2020

Research has generated a number of advances in methods for spatial cluster modelling in recent years, particularly in the area of Bayesian cluster modelling. Along with these advances has come an explosion of interest in the potential applications of this work, especially in epidemiology and genome...

Introduction to Time Series Using Stata, Revised Edition

2nd Edition

Sean Becketti
January 20, 2020

Introduction to Time Series Using Stata, Revised Edition provides a step-by-step guide to essential time-series techniques–from the incredibly simple to the quite complex– and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an...

Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences

1st Edition

Robert B. Gramacy
January 08, 2020

Surrogates: a graduate textbook, or professional handbook, on topics at the interface between machine learning, spatial statistics, computer simulation, meta-modeling (i.e., emulation), design of experiments, and optimization. Experimentation through simulation, "human out-of-the-loop" statistical...

Probability and Bayesian Modeling

1st Edition

Jim Albert, Jingchen Hu
December 18, 2019

Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and...

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

1st Edition

Chester Ismay, Albert Y. Kim
December 13, 2019

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for...

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine

1st Edition

Anastasios A. Tsiatis, Marie Davidian, Shannon T. Holloway, Eric B. Laber
December 10, 2019

Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a comprehensive introduction to statistical methodology for the evaluation and discovery of dynamic treatment regimes from data. Researchers and graduate students in statistics, data science, and related quantitative...

Time Series: A First Course with Bootstrap Starter

1st Edition

Tucker S. McElroy, Dimitris N. Politis
December 09, 2019

Time Series: A First Course with Bootstrap Starter provides an introductory course on time series analysis that satisfies the triptych of (i) mathematical completeness, (ii) computational illustration and implementation, and (iii) conciseness and accessibility to upper-level undergraduate and M.S....

Angular Statistics

1st Edition

A V Dattatreya Rao, S V S Girija
December 09, 2019

Directional data arise in the form of circular / semicircular / axial, symmetric / asymmetric, uni / bimodal data, in practical situations of varied fields. For the purpose of modeling such kind of data sets, the data scientists found that existing models as inadequate. As there is paucity of...

Sequential Change Detection and Hypothesis Testing: General Non-i.i.d. Stochastic Models and Asymptotically Optimal Rules

1st Edition

Alexander Tartakovsky
December 02, 2019

How can major corporations and governments more quickly and accurately detect and address cyberattacks on their networks? How can local authorities improve early detection and prevention of epidemics? How can researchers improve the identification and classification of space objects in difficult (...

Coefficient of Variation and Machine Learning Applications

1st Edition

K. Hima Bindu, Raghava Morusupalli, Nilanjan Dey, C. Raghavendra Rao
December 02, 2019

Coefficient of Variation (CV) is a unit free index indicating the consistency of the data associated with a real-world process and is simple to mold into computational paradigms. This book provides necessary exposure of computational strategies, properties of CV and extracting the metadata leading...

Handbook of Neuroimaging Data Analysis

1st Edition

Hernando Ombao, Martin Lindquist, Wesley Thompson, John Aston
November 08, 2019

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics, biostatistics, computer science, cognitive science, computer engineering...

Conferences

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