Puzzle Zeitvertreib Beste 4K Filme Beste Multimedia-Lernspiele % SALE %

Spatial and Spatio-temporal Bayesian Models with R - INLA


Spatial and Spatio-temporal Bayesian Models with R - INLA
74.97 CHF
Versandkostenfrei

Lieferzeit ca. 5 Tage

  • 10356656


Beschreibung

Dedication iiiPreface ix1 Introduction 11.1 Why spatial and spatio-temporal statistics? 11.2 Why do we use Bayesian methods for modelling spatial and spatio-temporal structures? 21.3 Why INLA? 31.4 Datasets 32 Introduction to 212.1 The language 212.2 objects 222.3 Data and session management 342.4 Packages 352.5 Programming in 362.6 Basic statistical analysis with 393 Introduction to Bayesian Methods 533.1 Bayesian Philosophy 533.2 Basic Probability Elements 573.3 Bayes Theorem 623.4 Prior and Posterior Distributions 643.5 Working with the Posterior Distribution 663.6 Choosing the Prior Distribution 684 Bayesian computing 834.1 Monte Carlo integration 834.2 Monte Carlo method for Bayesian inference 854.3 Probability distributions and random number generation in 864.4 Examples of Monte Carlo simulation 894.5 Markov chain Monte Carlo methods 974.6 The Integrated Nested Laplace Approximations algorithm 1134.7 Laplace approximation 1134.8 The package 1234.9 How INLA works: step by step example 1275 Bayesian regression and hierarchical models 1395.1 Linear Regression 1395.2 Nonlinear regression: random walk 1455.3 Generalized Linear Models 1505.4 Hierarchical Models 1595.5 Prediction 1765.6 Model Checking and Selection 1796 Spatial Modeling 1896.1 Areal data -GMRF 1926.2 Ecological Regression 2036.3 Zero inflated models 2046.4 Geostatistical data 2106.5 The Stochastic Partial Diferential Equation approach 2116.6 SPDE within 2156.7 SPDE toy example with simulated data 2176.8 More advanced operations through the function 2266.9 Prior specification for the stationary case 2336.10 SPDE for Gaussian response: Swiss rainfall data 2376.11 SPDE with nonnormal outcome: Malaria in the Gambia 2456.12 Prior specification for the nonstationary case 2497 Spatio-Temporal Models 2577.1 Spatio-temporal Disease mapping 2587.2 Spatio-temporal Modeling particulate matter concentration 2688 Advanced modeling 2838.1 Bivariate model for spatially misaligned data 2838.2 Semicontinuous model to daily rainfall 2958.3 Spatio-temporal dynamic models 3088.4 Space-time model lowering the time resolution 321

Eigenschaften

Breite: 156
Gewicht: 578 g
Höhe: 22
Länge: 241
Seiten: 320
Sprachen: Englisch
Autor: Marta Blangiardo, Michela Cameletti

Bewertung

Bewertungen werden nach Überprüfung freigeschaltet.

Die mit einem * markierten Felder sind Pflichtfelder.

Ich habe die Datenschutzbestimmungen zur Kenntnis genommen.

Zuletzt angesehen

eUniverse.ch - zur Startseite wechseln © 2021 Nova Online Media Retailing GmbH