[图书][B] Flexible regression and smoothing: using GAMLSS in R

MD Stasinopoulos, RA Rigby, GZ Heller, V Voudouris… - 2017 - books.google.com
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 …

Synergistic effects of social media and traditional marketing on brand sales: Capturing the time-varying effects

V Kumar, JWB Choi, M Greene - Journal of the Academy of marketing …, 2017 - Springer
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 …

Correcting for spatial heterogeneity in plant breeding experiments with P-splines

MX Rodriguez-Alvarez, MP Boer, FA van Eeuwijk… - Spatial Statistics, 2018 - Elsevier
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 …

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 …

[图书][B] Regressionsmodelle

L Fahrmeir, T Kneib, S Lang - 2007 - Springer
Alle im vorigen Kapitel beschriebenen Problemstellungen besitzen eine wesentliche
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 …

[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 …

Smoothing and forecasting mortality rates

ID Currie, M Durban, PHC Eilers - Statistical modelling, 2004 - journals.sagepub.com
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 …

A time-varying effect model for intensive longitudinal data.

X Tan, MP Shiyko, R Li, Y Li, L Dierker - Psychological methods, 2012 - psycnet.apa.org
Understanding temporal change in human behavior and psychological processes is a
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 …