Statistical Modelling and Regression Structures [electronic resource] : Festschrift in Honour of Ludwig Fahrmeir /
Kneib, Thomas.editor.
Tutz, Gerhard.editor.
The contributions collected in this book have been written by well-known statisticians to acknowledge Ludwig Fahrmeir's far-reaching impact on Statistics as a science, while celebrating his 65th birthday. The contributions cover broad areas of contemporary statistical model building, including semiparametric and geoadditive regression, Bayesian inference in complex regression models, time series modelling, statistical regularization, graphical models and stochastic volatility models.
Description based upon print version of record.
Includes bibliographical references.
The Smooth Complex Logarithm and Quasi-Periodic Models -- P-spline Varying Coefficient Models for Complex Data -- Penalized Splines, Mixed Models and Bayesian Ideas -- Bayesian Linear Regression #x2014; Different Conjugate Models and Their (In)Sensitivity to Prior-Data Conflict -- An Efficient Model Averaging Procedure for Logistic Regression Models Using a Bayesian Estimator with Laplace Prior -- Posterior and Cross-validatory Predictive Checks: A Comparison of MCMC and INLA -- Data Augmentation and MCMC for Binary and Multinomial Logit Models -- Generalized Semiparametric Regression with Covariates Measured with Error -- Determinants of the Socioeconomic and Spatial Pattern of Undernutrition by Sex in India: A Geoadditive Semi-parametric Regression Approach -- Boosting for Estimating Spatially Structured Additive Models -- Generalized Linear Mixed Models Based on Boosting -- Measurement and Predictors of a Negative Attitude towards Statistics among LMU Students -- Graphical Chain Models and their Application -- Indirect Comparison of Interaction Graphs -- Modelling, Estimation and Visualization of Multivariate Dependence for High-frequency Data -- Ordinal- and Continuous-Response Stochastic Volatility Models for Price Changes: An Empirical Comparison -- Copula Choice with Factor Credit Portfolio Models -- Penalized Estimation for Integer Autoregressive Models -- Bayesian Inference for a Periodic Stochastic Volatility Model of Intraday Electricity Prices -- Online Change-Point Detection in Categorical Time Series -- Multiple Linear Panel Regression with Multiplicative Random Noise -- A Note on Using Multiple Singular Value Decompositions to Cluster Complex Intracellular Calcium Ion Signals -- On the self-regularization property of the EM algorithm for Poisson inverse problems -- Sequential Design of Computer Experiments for Constrained Optimization.
The contributions collected in this book have been written by well-known statisticians to acknowledge Ludwig Fahrmeir's far-reaching impact on Statistics as a science, while celebrating his 65th birthday. The contributions cover broad areas of contemporary statistical model building, including semiparametric and geoadditive regression, Bayesian inference in complex regression models, time series modelling, statistical regularization, graphical models and stochastic volatility models.
Probabilities.
Statistics .
Probability Theory and Stochastic Processes.
Statistics, general.
Statistical Theory and Methods.