Results 81 to 90 of about 43,843 (275)
High-dimensional Structured Additive Regression Models: Bayesian Regularisation, Smoothing and Predictive Performance [PDF]
, 2009 Data structures in modern applications frequently combine the necessity of flexible regression techniques such as nonlinear and spatial effects with high-dimensional covariate vectors. While estimation of the former is typically achieved by supplementing
Fahrmeir, Ludwig +2 more
core +1 more source
Early Radiation Therapy Response Assessment Using Multi‐Scale Photoacoustic Imaging
Advanced Science, EarlyView.Tomographic and mesoscopic photoacoustics capture intratumoural features of radioresistance and response. ABSTRACT There is a critical unmet clinical need to identify biomarkers that predict and detect radiation therapy (RT) response in cancer. Using the unique capabilities of multi‐scale photoacoustic imaging (PAI) to depict tumor oxygenation and ...
Thierry L. Lefebvre +12 more
wiley +1 more source
Journal of Statistical Software, 2010 Here we present and discuss the R package modTempEff including a set of functions aimed at modelling temperature effects on mortality with time series data.
Vito M. R. Muggeo
doaj
A geoadditive Bayesian latent variable model for Poisson indicators [PDF]
, 2006 We introduce a new latent variable model with count variable indicators, where usual linear parametric effects of covariates, nonparametric effects of continuous covariates and spatial effects on the continuous latent variables are modelled through a ...
Fahrmeir, Ludwig, Steinert, Sven
core +3 more sources
Advanced Science, EarlyView.Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel +12 more
wiley +1 more source
Advanced Science, EarlyView.This review explores inorganic metal oxides and metal salt nanoparticles templated porous carbons, highlighting their synthesis, structural features, and performance in energy and environmental applications. It critically compares template types, porosity control, and functional outcomes across recent literature.
Gurwinder Singh +8 more
wiley +1 more source
SEMIPARAMETRIC MODELS AND P-SPLINES [PDF]
P-splines were introduced by Eilers and Marx (1996). We consider semiparametric models where the smooth part of the model can be described by P-splines. A mixed model representation is also considered.
Currie, I., Durbán, M.
core
Efficient and automatic methods for flexible regression on spatiotemporal data, with applications to groundwater monitoring [PDF]
, 2015 Fitting statistical models to spatiotemporal data requires finding the right balance between imposing smoothness and following the data. In the context of P-splines, we propose a Bayesian framework for choosing the smoothing parameter which allows the ...
Bowman, A.W. +4 more
core +2 more sources
Cognitive Trajectories from Preclinical Alzheimer's Disease to Dementia
Advanced Science, EarlyView.A continuous, multi‐domain characterization of cognitive decline across the Alzheimer's disease spectrum identifies when individual cognitive measures become abnormal. Episodic memory declines first, followed by executive function, language, processing speed, and visuospatial abilities, supporting improved clinical interpretation and optimized endpoint
Fredrik Öhman +3 more
wiley +1 more source
Predicting Cancer Mortality using ANOVA-type P-spline Models
Revstat Statistical Journal, 2015 REVSTAT-Statistical Journal, Vol. 13 No.
María Dolores Ugarte +2 more
openaire +2 more sources