Results 51 to 60 of about 231,426 (276)
Model Selection for High Dimensional Nonparametric Additive Models via Ridge Estimation
Mathematics, 2022 In ultrahigh dimensional data analysis, to keep computational performance well and good statistical properties still working, nonparametric additive models face increasing challenges.
Haofeng Wang +3 more
doaj +1 more source
Predicting Loss of Ambulation in Limb Girdle Muscular Dystrophy R9
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Limb girdle muscular dystrophy type R9 (LGMDR9) results from biallelic variants in FKRP. There is limited data to predict loss of ambulation (LOA) among those with LGMDR9. Methods Participants in an ongoing dystroglycanopathy natural history study (NCT00313677) with FKRP variants who had achieved ambulation and were more than 3 ...
Chandra L. Miller +6 more
wiley +1 more source
Empirical and Kernel Estimation of the ROC Curve
Acta Universitatis Lodziensis. Folia Oeconomica, 2015 The paper presents chosen methods for estimating the ROC (Receiver Operating Characteristic) curve, including parametric and nonparametric procedures.
Aleksandra Katarzyna Baszczyńska
doaj
Nonparametric volatility density estimation
Bernoulli, 2003 We consider two kinds of stochastic volatility models. Both kinds of models contain a stationary volatility process, the density of which, at a fixed instant in time, we aim to estimate. We discuss discrete time models where for instance a log price process is modeled as the product of a volatility process and i.i.d. noise.
van Es, A.J. +2 more
openaire +6 more sources
Clustering Algorithm Reveals Dopamine‐Motor Mismatch in Cognitively Preserved Parkinson's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To explore the relationship between dopaminergic denervation and motor impairment in two de novo Parkinson's disease (PD) cohorts. Methods n = 249 PD patients from Parkinson's Progression Markers Initiative (PPMI) and n = 84 from an external clinical cohort.
Rachele Malito +14 more
wiley +1 more source
Consistent estimation of the filtering and marginal smoothing distributions in nonparametric hidden Markov models [PDF]
, 2015 In this paper, we consider the filtering and smoothing recursions in nonparametric finite state space hidden Markov models (HMMs) when the parameters of the model are unknown and replaced by estimators.
Corff, Sylvain Le +2 more
core
Arthritis Care &Research, EarlyView.Objective The aim of this study was to investigate the cost‐effectiveness of low‐dose colchicine prophylaxis for preventing gout flares when starting allopurinol using the “start‐low go‐slow” approach. Methods Participants with gout, fulfilling the American College of Rheumatology recommendations for starting urate‐lowering therapy and with serum urate
Yana Pryymachenko +4 more
wiley +1 more source
Nonparametric estimation of mean-squared prediction error in nested-error regression models [PDF]
, 2016 Nested-error regression models are widely used for analyzing clustered data. For example, they are often applied to two-stage sample surveys, and in biology and econometrics.
Hall, Peter, Maiti, Tapabrata
core +1 more source
Arthritis Care &Research, EarlyView.Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart +14 more
wiley +1 more source
Nonparametric estimation in random sum models
Statistica, 2013 Let X1,X2,…,XN be independent, identically distributed, non-negative, integervalued random variables and let N be a non-negative, integer-valued random variable independent of X1,X2,…,XN .
Hassan S. Bakouch, Thomas A. Severini
doaj +1 more source