Add to ORKGTeuber T. Using penalized spline, generalized additive model and mixed model regression techniques to examine univariate and multivariate time series and in particular business cycles. Bielefeld: Universität Bielefeld; 2013
Generalised additive models (GAMs) allow for flexible functional dependence of a response variable o...
This thesis discusses semiparametric regression models that provide a flexible tool for modelling lo...
Summary. Generalized additive mixed models are proposed for overdispersed and correlated data, which...
Kauermann G, Teuber T, Flaschel P. Exploring US Business Cycles with Bivariate Loops Using Penalized...
The two-dimensional circular structure model by Kauermann, Teuber, and Flaschel (2011) will be exten...
Linear mixed effects methods for the analysis of longitudinal data provide a convenient framework fo...
On purpose to extract trend and cycle from a time series many competing techniques have been develop...
On purpose to extract trend and cycle from a time series many competing techniques have been develop...
Kauermann G, Krivobokova T, Semmler W. Filtering Time Series with Penalized Splines. Studies in Nonl...
Kauermann G. Penalized spline smoothing in multivariable survival models with varying coefficients. ...
In statistics, linear modelling techniques are widely used methods to explain one variable by others...
Generalised additive models (GAMs) allow for flexible functional dependence of a response variable o...
In statistics, linear modelling techniques are widely used methods to explain one variable by others...
175 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.A general description of line...
L-splines are a large family of smoothing splines defined in terms of a linear differential operator...
Generalised additive models (GAMs) allow for flexible functional dependence of a response variable o...
This thesis discusses semiparametric regression models that provide a flexible tool for modelling lo...
Summary. Generalized additive mixed models are proposed for overdispersed and correlated data, which...
Kauermann G, Teuber T, Flaschel P. Exploring US Business Cycles with Bivariate Loops Using Penalized...
The two-dimensional circular structure model by Kauermann, Teuber, and Flaschel (2011) will be exten...
Linear mixed effects methods for the analysis of longitudinal data provide a convenient framework fo...
On purpose to extract trend and cycle from a time series many competing techniques have been develop...
On purpose to extract trend and cycle from a time series many competing techniques have been develop...
Kauermann G, Krivobokova T, Semmler W. Filtering Time Series with Penalized Splines. Studies in Nonl...
Kauermann G. Penalized spline smoothing in multivariable survival models with varying coefficients. ...
In statistics, linear modelling techniques are widely used methods to explain one variable by others...
Generalised additive models (GAMs) allow for flexible functional dependence of a response variable o...
In statistics, linear modelling techniques are widely used methods to explain one variable by others...
175 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.A general description of line...
L-splines are a large family of smoothing splines defined in terms of a linear differential operator...
Generalised additive models (GAMs) allow for flexible functional dependence of a response variable o...
This thesis discusses semiparametric regression models that provide a flexible tool for modelling lo...
Summary. Generalized additive mixed models are proposed for overdispersed and correlated data, which...