Results 81 to 90 of about 157,395 (292)
Bayesian Model Selection for the Glacial–Interglacial Cycle [PDF]
SummaryA prevailing viewpoint in paleoclimate science is that a single paleoclimate record contains insufficient information to discriminate between typical competing explanatory models. Here we show that, by using the algorithm SMC2 (‘sequential Monte Carlo squared’) combined with novel Brownian-bridge-type proposals for the state trajectories, it is ...
Carson, J. +3 more
openaire +8 more sources
Global Rather Than Vertical‐Selective Saccadic Abnormalities in Progressive Supranuclear Palsy
ABSTRACT Objective To test whether vertical saccades are preferentially affected in Progressive Supranuclear Palsy (PSP). Methods PSP patients (n = 24) were compared to age‐matched controls (n = 94) and two degenerative groups (Alzheimer's disease, n = 20; Lewy body disease, n = 50).
Duy Duan Nguyen +6 more
wiley +1 more source
Channel estimation using variational Bayesian learning for multi‐user mmWave MIMO systems
This paper presents a novel variational Bayesian learning‐based channel estimation scheme for hybrid pre‐coding‐employed wideband multiuser millimetre wave multiple‐input multiple‐output communication systems.
Bo Xiao +4 more
doaj +1 more source
High Health Care Utilization Preceding Diagnosis With Juvenile Idiopathic Arthritis
Objective Although early diagnosis improves long‐term outcomes, patients with juvenile idiopathic arthritis (JIA) often experience prolonged, circuitous paths to diagnosis. To inform diagnostic improvement, we sought to characterize health care utilization in the year preceding diagnosis. Methods We identified 10,021 patients with an incident diagnosis
Anna Costello +5 more
wiley +1 more source
Bayesian variable selection for genome-wide association study of grain traits in rice.
Rice (Oryza sativa) is a staple food crop for more than half of the world's population. Besides high gluten-free nutritional contents, it has high economic value supporting livelihood of millions of farmers. That is why a lot of research is being carried
Rupam Basu +2 more
doaj +1 more source
R Package OBsMD for Follow-Up Designs in an Objective Bayesian Framework
Fractional factorial experiments often produce ambiguous results due to confounding among the factors; as a consequence more than one model is consistent with the data. Thus, the practical problem is how to choose additional runs in order to discriminate
Laura Deldossi, Marta Nai Ruscone
doaj +1 more source
Trajectories of Physical Function in Canadian Children With Juvenile Idiopathic Arthritis
Objective We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham +81 more
wiley +1 more source
Proximal nested sampling for high-dimensional Bayesian model selection
Bayesian model selection provides a powerful framework for objectively comparing models directly from observed data, without reference to ground truth data.
Cai, Xiaohao +5 more
core +2 more sources
Bayesian Panel Variable Selection Under Model Uncertainty for High-Dimensional Data
Selecting the relevant covariates in high-dimensional panel data remains a central challenge in applied econometrics. Conventional fixed effects and random effects models are not designed for systematic variable selection under model uncertainty.
Pathairat Pastpipatkul, Htwe Ko
doaj +1 more source
Objective This study aimed to investigate hand function trajectories over five years in primary hand osteoarthritis (OA). Additionally, determinants of baseline and longitudinal hand function were assessed. Methods A total of 538 patients with both baseline and five‐year study visits were analyzed.
Annemiek V. E. M. Olde Meule +4 more
wiley +1 more source

