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Practical Nonparametric and Semiparametric Bayesian Statistics

Practical Nonparametric and Semiparametric Bayesian Statistics

ISBN/GTIN

Practical Nonparametric and Semiparametric Bayesian Statistics

by

Dey, Dipak D.EditorMüiler, PeterEditorSinha, DebajyotiEditor

E-bookPDFE-book

Ranking16667inMathematik

CHF177.00

Description

A compilation of original articles by Bayesian experts, this volume presents perspectives on recent developments on nonparametric and semiparametric methods in Bayesian statistics. The articles discuss how to conceptualize and develop Bayesian models using rich classes of nonparametric and semiparametric methods, how to use modern computational tools to summarize inferences, and how to apply these methodologies through the analysis of case studies.

More descriptions

Details

Additional ISBN/GTIN9781461217329

Product TypeE-book

BindingE-book

FormatPDF

Format notewatermark

PublisherSpringer New York

Publishing date06/12/2012

Edition1998

SeriesLecture Notes in Statistics

Series no.133

Pages392 pages

LanguageEnglish

IllustrationsXVI, 392 p.

Article no.10539930

CatalogsVC

Data source no.4714670

Product groupMathematik

Series

Multivariate Nonparametric Methods with R

Dihedral Fourier Analysis

R.A. Fisher: An Appreciation

Fitting Linear Models

The Normal Distribution

Linear and Graphical Models

Bilinear Forms and Zonal Polynomials

Optimal Mixture Experiments

Wavelets and Statistics

Statistical Modelling

Case Studies in Bayesian Statistics, Volume II

Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing

Non-Regular Statistical Estimation

Indirect Estimators in U.S. Federal Programs

Robust Statistics, Data Analysis, and Computer Intensive Methods

Random Coefficient Autoregressive Models: An Introduction

Nonparametric Statistics for Stochastic Processes

Nonparametric Statistics for Stochastic Processes

Statistical Disclosure Control in Practice

Learning from Data

Optimum Designs for Multi-Factor Models

Athens Conference on Applied Probability and Time Series Analysis

Athens Conference on Applied Probability and Time Series Analysis

Smoothness Priors Analysis of Time Series

Stochastic Networks

Bayesian Learning for Neural Networks

Applications of Computer Aided Time Series Modeling

Statistical Analysis of Counting Processes

Latent Variable Modeling and Applications to Causality

Proceedings of the Fourth Seattle Symposium in Biostatistics: Clinical Trials

Case Studies in Bayesian Statistics

Modelling Longitudinal and Spatially Correlated Data

Proceedings of the First Seattle Symposium in Biostatistics: Survival Analysis

Robust Planning and Analysis of Experiments

Model-Oriented Design of Experiments

Linear Mixed Models in Practice

Monte Carlo and Quasi-Monte Carlo Methods 1996

Probability Towards 2000

Wavelets, Approximation, and Statistical Applications

Contributions to a General Asymptotic Statistical Theory

Semiparametric Methods in Econometrics

Case Studies in Environmental Statistics

Practical Nonparametric and Semiparametric Bayesian Statistics

Statistical Inference for Spatial Poisson Processes

Discretization and MCMC Convergence Assessment

Multivariate Reduced-Rank Regression

The Inverse Gaussian Distribution

Random and Quasi-Random Point Sets

An Introduction to Copulas

GLIM 82: Proceedings of the International Conference on Generalised Linear Models

Case Studies in Bayesian Statistics

Bayesian Inference in Wavelet-Based Models

Bilinear Stochastic Models and Related Problems of Nonlinear Time Series Analysis

Graphical Methods for the Design of Experiments

Studies in the Atmospheric Sciences

Stochastic Population Models

Stochastic Processes and Orthogonal Polynomials

Measuring Risk in Complex Stochastic Systems

Empirical Bayes and Likelihood Inference

Linear Processes in Function Spaces

Sampling With Unequal Probabilities

Block Designs: A Randomization Approach

Stochastic Epidemic Models and Their Statistical Analysis

Robust Bayesian Analysis

Topics in Survey Sampling

Measuring Business Cycles in Economic Time Series

Elements of Statistical Disclosure Control

Lundberg Approximations for Compound Distributions with Insurance Applications

Essays on Item Response Theory

Seasonal Adjustment with the X-11 Method

Spatial Statistics: Methodological Aspects and Applications

Specifying Statistical Models

Projecting Statistical Functionals

Noise Reduction by Wavelet Thresholding

Case Studies in Bayesian Statistics

Topics in Optimal Design

The Optimal Design of Blocked and Split-Plot Experiments

Multivariate Dispersion, Central Regions, and Depth

Weighted Empirical Processes in Dynamic Nonlinear Models

Case Studies in Bayesian Statistics

Statistical Matching

Nonparametric Goodness-of-Fit Testing Under Gaussian Models

Asymptotic Optimal Inference for Non-ergodic Models

Block Designs: A Randomization Approach

Nonlinear Estimation and Classification

Parametric and Nonparametric Inference from Record-Breaking Data

Spatial Statistics and Computational Methods

Statistics on Special Manifolds

Linear Regression

Ranked Set Sampling

Tools for Constructing Chronologies

Probability Matching Priors: Higher Order Asymptotics

Proceedings of the Second Seattle Symposium in Biostatistics

Conjugate Duality and the Exponential Fourier Spectrum

Inference for Change Point and Post Change Means After a CUSUM Test

Estimation in Conditionally Heteroscedastic Time Series Models

Nonparametric Monte Carlo Tests and Their Applications

Space, Structure and Randomness

Functional Approach to Optimal Experimental Design

Case Studies in Spatial Point Process Modeling

Author

Dey, Dipak D.EditorMüiler, PeterEditorSinha, DebajyotiEditor

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