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Modern Methodology and Applications in Spatial-Temporal Modeling
This book provides a modern introductory tutorial on specialized methodological and applied aspects of spatial and temporal modeling. The areas covered involve a range of topics which reflect the diversity of this domain of research across a number of quantitative disciplines. For instance, the first chapter deals with non-parametric Bayesian inference via a recently developed framework known a…
- Edition
- 1
- ISBN/ISSN
- 978-4-431-55338-0
- Collation
- XV
- Series Title
- SpringerBriefs in Statistics
- Call Number
- -
Modern Nonparametric, Robust and Multivariate Methods
Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volu…
- Edition
- 1
- ISBN/ISSN
- 978-3-319-22403-9
- Collation
- xx, 506
- Series Title
- -
- Call Number
- -
Estimation and Testing Under Sparsity École d'Été de Probabilités de Sai…
Taking the Lasso method as its starting point, this book describes the main ingredients needed to study general loss functions and sparsity-inducing regularizers. It also provides a semi-parametric approach to establishing confidence intervals and tests. Sparsity-inducing methods have proven to be very useful in the analysis of high-dimensional data. Examples include the Lasso and group Lasso m…
- Edition
- -
- ISBN/ISSN
- 978-3-319-32774-7
- Collation
- XIII, 274
- Series Title
- -
- Call Number
- -
Estimation and Inferential Statistics
This book focuses on the meaning of statistical inference and estimation. Statistical inference is concerned with the problems of estimation of population parameters and testing hypotheses. Primarily aimed at undergraduate and postgraduate students of statistics, the book is also useful to professionals and researchers in statistical, medical, social and other disciplines. It discusses current …
- Edition
- -
- ISBN/ISSN
- 978-81-322-2514-0
- Collation
- 23 b/w illustrations
- Series Title
- -
- Call Number
- -
Essentials of Stochastic Processes
Building upon the previous editions, this textbook is a first course in stochastic processes taken by undergraduate and graduate students (MS and PhD students from math, statistics, economics, computer science, engineering, and finance departments) who have had a course in probability theory. It covers Markov chains in discrete and continuous time, Poisson processes, renewal processes, martinga…
- Edition
- -
- ISBN/ISSN
- 978-3-319-45614-0
- Collation
- 26 b/w illustrations
- Series Title
- -
- Call Number
- -
Computational modeling of neural activities for statistical inference
This authored monograph supplies empirical evidence for the Bayesian brain hypothesis by modeling event-related potentials (ERP) of the human electroencephalogram (EEG) during successive trials in cognitive tasks. Bayesian model selection is then used to choose the model which best explains the ERP amplitude fluctuations.
- Edition
- -
- ISBN/ISSN
- 9783319812434
- Collation
- -
- Series Title
- -
- Call Number
- 519.542
Adaptive Regression for Modeling Nonlinear Relationships
This book presents methods for investigating whether relationships are linear or nonlinear and for adaptively fitting appropriate models when they are nonlinear. Data analysts will learn how to incorporate nonlinearity in one or more predictor variables into regression models for different types of outcome variables. Such nonlinear dependence is often not considered in applied research, yet non…
- Edition
- Ed. 1
- ISBN/ISSN
- 978-3-319-33946-7
- Collation
- XXV, 372
- Series Title
- Statistics for Biology and Health
- Call Number
- 519.5 KNA a
Topological and Statistical Methods for Complex Data
This book contains papers presented at the Workshop on the Analysis of Large-scale, High-Dimensional, and Multi-Variate Data Using Topology and Statistics, held in Le Barp, France, June 2013. It features the work of some of the most prominent and recognized leaders in the field who examine challenges as well as detail solutions to the analysis of extreme scale data. The book presents new metho…
- Edition
- 1
- ISBN/ISSN
- 978-3-662-44900-4
- Collation
- XV, 297
- Series Title
- Mathematics and Visualization
- Call Number
- -
Introduction to Nonparametric Statistics for the Biological Sciences Using R
This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: To introduce when nonparametric approaches to data analysis are appropriate To introduce the leading nonparametric tests commonly used in biostatistics and …
- Edition
- -
- ISBN/ISSN
- 978-3-319-30634-6
- Collation
- -
- Series Title
- -
- Call Number
- -
Rankings and Preferences: New Results in Weighted Correlation and Weighted Pr…
This book examines in detail the correlation, more precisely the weighted correlation and applications involving rankings. A general application is the evaluation of methods to predict rankings. Others involve rankings representing human preferences to infer user preferences; the use of weighted correlation with microarray data and those in the domain of time series. In this book we present new…
- Edition
- -
- ISBN/ISSN
- 978-3-662-48344-2
- Collation
- -
- Series Title
- -
- Call Number
- 001.4
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