[图书][B] Flexible regression and smoothing: using GAMLSS in R
This book is about learning from data using the Generalized Additive Models for Location,
Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and …
Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and …
Synergistic effects of social media and traditional marketing on brand sales: Capturing the time-varying effects
As social media gains more importance, managers are challenged to quantify its return on
sales. The academic understanding in the effectiveness of social media is limited, and in fact …
sales. The academic understanding in the effectiveness of social media is limited, and in fact …
Correcting for spatial heterogeneity in plant breeding experiments with P-splines
An important aim of the analysis of agricultural field experiments is to obtain good
predictions for genotypic performance, by correcting for spatial effects. In practice these …
predictions for genotypic performance, by correcting for spatial effects. In practice these …
Genomic similarity and kernel methods I: advancements by building on mathematical and statistical foundations
DJ Schaid - Human heredity, 2010 - karger.com
Measures of genomic similarity are the basis of many statistical analytic methods. We review
the mathematical and statistical basis of similarity methods, particularly based on kernel …
the mathematical and statistical basis of similarity methods, particularly based on kernel …
[图书][B] Regressionsmodelle
Alle im vorigen Kapitel beschriebenen Problemstellungen besitzen eine wesentliche
Gemeinsamkeit: Eigenschaften einer Zielvariablen y sollen in Abhängigkeit von Kovariablen …
Gemeinsamkeit: Eigenschaften einer Zielvariablen y sollen in Abhängigkeit von Kovariablen …
Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection
L Fahrmeir, T Kneib, S Konrath - Statistics and Computing, 2010 - Springer
This paper surveys various shrinkage, smoothing and selection priors from a unifying
perspective and shows how to combine them for Bayesian regularisation in the general …
perspective and shows how to combine them for Bayesian regularisation in the general …
[图书][B] Maximum likelihood estimation and inference: with examples in R, SAS and ADMB
RB Millar - 2011 - books.google.com
This book takes a fresh look at the popular and well-established method of maximum
likelihood for statistical estimation and inference. It begins with an intuitive introduction to the …
likelihood for statistical estimation and inference. It begins with an intuitive introduction to the …
Smoothing and forecasting mortality rates
The prediction of future mortality rates is a problem of fundamental importance for the
insurance and pensions industry. We show how the method of P-splines can be extended to …
insurance and pensions industry. We show how the method of P-splines can be extended to …
A time-varying effect model for intensive longitudinal data.
Understanding temporal change in human behavior and psychological processes is a
central issue in the behavioral sciences. With technological advances, intensive longitudinal …
central issue in the behavioral sciences. With technological advances, intensive longitudinal …
Twenty years of P-splines
PHC Eilers, BD Marx, M Durbán - SORT: statistics and operations …, 2015 - ddd.uab.cat
P-splines first appeared in the limelight twenty years ago. Since then they have become
popular in applications and in theoretical work. The combination of a rich B-spline basis and …
popular in applications and in theoretical work. The combination of a rich B-spline basis and …