Results 101 to 110 of about 280,435 (260)
Robust estimation of mean and dispersion functions in extended generalized additive models. [PDF]
Generalized Linear Models are a widely used method to obtain parametric estimates for the mean function. They have been further extended to allow the relationship between the mean function and the covariates to be more flexible via Generalized Additive ...
Croux, Christophe +2 more
core
Annual Review of Statistics and Its ApplicationGeneralized additive models are generalized linear models in which the linear predictor includes a sum of smooth functions of covariates, where the shape of the functions is to be estimated. They have also been generalized beyond the original generalized linear model setting to distributions outside the exponential family and to situations in which ...
openaire +1 more source
FEBS Open Bio, EarlyView.This study addressed how a senior research thesis is perceived by undergraduate students. It assessed students' perception of research skills, epistemological beliefs, and career goals in Biochemistry (science) and BDC (science‐business) students. Completing a thesis improved confidence in research skills, resilience, scientific identity, closed gender‐
Celeste Suart +4 more
wiley +1 more source
Generalized Additive Modelling of Sample Extremes
Journal of the Royal Statistical Society Series C: Applied Statistics, 2004 SummaryWe describe smooth non-stationary generalized additive modelling for sample extremes, in which spline smoothers are incorporated into models for exceedances over high thresholds. Fitting is by maximum penalized likelihood estimation, with uncertainty assessed by using differences of deviances and bootstrap simulation. The approach is illustrated
Chavez-Demoulin, V., Davison, A. C.
openaire +1 more source
FEBS Open Bio, EarlyView.What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman +4 more
wiley +1 more source
Modeling the short-term effect of traffic on air pollution in Torino with generalized additive models [PDF]
Vehicular traffic typically plays an important role in atmospheric pollution. This is especially true in urban areas, where high pollutant concentrations are often observed. In this paper, we consider hourly measures of concentrations of nitrogen oxides (
Pancrazio Bertaccini +2 more
core
Additive and Generalized Additive Models
, 2006 This paper is the attempt to summarize the state of art in additive and generalized additive models (GAM). The emphasis is on approaches and numerical procedures which have emerged since the monograph of Hastie and Tibshirani (1990) although reconsidering certain aspects of their work.
Schimek, Michael G., Turlach, Berwin A.
openaire +1 more source
Generalized Monotone Additive Latent Variable Models
SSRN Electronic Journal, 2010 Note: Technical report Reference STAT-REPORT-2005-001 Record created on 2006-04-21, modified on 2017-05 ...
Sardy, Sylvain +1 more
openaire +3 more sources
FEBS Open Bio, EarlyView.Unique biological samples, such as site‐specific mutant proteins, are available only in limited quantities. Here, we present a polarization‐resolved transient infrared spectroscopy setup with referencing to improve signal‐to‐noise tailored towards tracing small signals. We provide an overview of characterizing the excitation conditions for polarization‐
Clark Zahn, Karsten Heyne
wiley +1 more source
Bootstrap inference in semiparametric generalized additive models [PDF]
, 2000 Semiparametric generalized additive models are a powerful tool in quantitative econometrics. The main focus is the application of bootstrap methods. It is shown that bootstrap can be used for bias correction, hypothesis testing (e.g.
Hardle, Wolfgang +3 more
core +1 more source